151 results on '"Mendenhall, Eric M."'
Search Results
2. Author Correction: Perspectives on ENCODE
- Author
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Snyder, Michael P, Gingeras, Thomas R, Moore, Jill E, Weng, Zhiping, Gerstein, Mark B, Ren, Bing, Hardison, Ross C, Stamatoyannopoulos, John A, Graveley, Brenton R, Feingold, Elise A, Pazin, Michael J, Pagan, Michael, Gilchrist, Daniel A, Hitz, Benjamin C, Cherry, J Michael, Bernstein, Bradley E, Mendenhall, Eric M, Zerbino, Daniel R, Frankish, Adam, Flicek, Paul, and Myers, Richard M
- Subjects
ENCODE Project Consortium ,General Science & Technology - Abstract
In this Article, the authors Rizi Ai (Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA) and Shantao Li (Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA) were mistakenly omitted from the ENCODE Project Consortium author list. The original Article has been corrected online.
- Published
- 2022
3. Author Correction: Expanded encyclopaedias of DNA elements in the human and mouse genomes
- Author
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Moore, Jill E, Purcaro, Michael J, Pratt, Henry E, Epstein, Charles B, Shoresh, Noam, Adrian, Jessika, Kawli, Trupti, Davis, Carrie A, Dobin, Alexander, Kaul, Rajinder, Halow, Jessica, Van Nostrand, Eric L, Freese, Peter, Gorkin, David U, Shen, Yin, He, Yupeng, Mackiewicz, Mark, Pauli-Behn, Florencia, Williams, Brian A, Mortazavi, Ali, Keller, Cheryl A, Zhang, Xiao-Ou, Elhajjajy, Shaimae I, Huey, Jack, Dickel, Diane E, Snetkova, Valentina, Wei, Xintao, Wang, Xiaofeng, Rivera-Mulia, Juan Carlos, Rozowsky, Joel, Zhang, Jing, Chhetri, Surya B, Zhang, Jialing, Victorsen, Alec, White, Kevin P, Visel, Axel, Yeo, Gene W, Burge, Christopher B, Lécuyer, Eric, Gilbert, David M, Dekker, Job, Rinn, John, Mendenhall, Eric M, Ecker, Joseph R, Kellis, Manolis, Klein, Robert J, Noble, William S, Kundaje, Anshul, Guigó, Roderic, Farnham, Peggy J, Cherry, J Michael, Myers, Richard M, Ren, Bing, Graveley, Brenton R, Gerstein, Mark B, Pennacchio, Len A, Snyder, Michael P, Bernstein, Bradley E, Wold, Barbara, Hardison, Ross C, Gingeras, Thomas R, Stamatoyannopoulos, John A, and Weng, Zhiping
- Subjects
ENCODE Project Consortium ,General Science & Technology - Abstract
In the version of this article initially published, two members of the ENCODE Project Consortium were missing from the author list. Rizi Ai (Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA) and Shantao Li (Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA) are now included in the author list. These errors have been corrected in the online version of the article.
- Published
- 2022
4. Perspectives on ENCODE
- Author
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Snyder, Michael P, Gingeras, Thomas R, Moore, Jill E, Weng, Zhiping, Gerstein, Mark B, Ren, Bing, Hardison, Ross C, Stamatoyannopoulos, John A, Graveley, Brenton R, Feingold, Elise A, Pazin, Michael J, Pagan, Michael, Gilchrist, Daniel A, Hitz, Benjamin C, Cherry, J Michael, Bernstein, Bradley E, Mendenhall, Eric M, Zerbino, Daniel R, Frankish, Adam, Flicek, Paul, and Myers, Richard M
- Subjects
Biological Sciences ,Bioinformatics and Computational Biology ,Genetics ,Human Genome ,Biotechnology ,1.1 Normal biological development and functioning ,Animals ,Binding Sites ,Chromatin ,DNA Methylation ,Databases ,Genetic ,Gene Expression Regulation ,Genome ,Genome ,Human ,Genomics ,Histones ,Humans ,Mice ,Molecular Sequence Annotation ,Quality Control ,Regulatory Sequences ,Nucleic Acid ,Transcription Factors ,ENCODE Project Consortium ,General Science & Technology - Abstract
The Encylopedia of DNA Elements (ENCODE) Project launched in 2003 with the long-term goal of developing a comprehensive map of functional elements in the human genome. These included genes, biochemical regions associated with gene regulation (for example, transcription factor binding sites, open chromatin, and histone marks) and transcript isoforms. The marks serve as sites for candidate cis-regulatory elements (cCREs) that may serve functional roles in regulating gene expression1. The project has been extended to model organisms, particularly the mouse. In the third phase of ENCODE, nearly a million and more than 300,000 cCRE annotations have been generated for human and mouse, respectively, and these have provided a valuable resource for the scientific community.
- Published
- 2020
5. Expanded encyclopaedias of DNA elements in the human and mouse genomes
- Author
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Moore, Jill E, Purcaro, Michael J, Pratt, Henry E, Epstein, Charles B, Shoresh, Noam, Adrian, Jessika, Kawli, Trupti, Davis, Carrie A, Dobin, Alexander, Kaul, Rajinder, Halow, Jessica, Van Nostrand, Eric L, Freese, Peter, Gorkin, David U, Shen, Yin, He, Yupeng, Mackiewicz, Mark, Pauli-Behn, Florencia, Williams, Brian A, Mortazavi, Ali, Keller, Cheryl A, Zhang, Xiao-Ou, Elhajjajy, Shaimae I, Huey, Jack, Dickel, Diane E, Snetkova, Valentina, Wei, Xintao, Wang, Xiaofeng, Rivera-Mulia, Juan Carlos, Rozowsky, Joel, Zhang, Jing, Chhetri, Surya B, Zhang, Jialing, Victorsen, Alec, White, Kevin P, Visel, Axel, Yeo, Gene W, Burge, Christopher B, Lécuyer, Eric, Gilbert, David M, Dekker, Job, Rinn, John, Mendenhall, Eric M, Ecker, Joseph R, Kellis, Manolis, Klein, Robert J, Noble, William S, Kundaje, Anshul, Guigó, Roderic, Farnham, Peggy J, Cherry, J Michael, Myers, Richard M, Ren, Bing, Graveley, Brenton R, Gerstein, Mark B, Pennacchio, Len A, Snyder, Michael P, Bernstein, Bradley E, Wold, Barbara, Hardison, Ross C, Gingeras, Thomas R, Stamatoyannopoulos, John A, and Weng, Zhiping
- Subjects
Biological Sciences ,Bioinformatics and Computational Biology ,Genetics ,Human Genome ,1.1 Normal biological development and functioning ,Animals ,Chromatin ,DNA ,DNA Footprinting ,DNA Methylation ,DNA Replication Timing ,Databases ,Genetic ,Deoxyribonuclease I ,Genome ,Genome ,Human ,Genomics ,Histones ,Humans ,Mice ,Mice ,Transgenic ,Molecular Sequence Annotation ,RNA-Binding Proteins ,Registries ,Regulatory Sequences ,Nucleic Acid ,Transcription ,Genetic ,Transposases ,ENCODE Project Consortium ,General Science & Technology - Abstract
The human and mouse genomes contain instructions that specify RNAs and proteins and govern the timing, magnitude, and cellular context of their production. To better delineate these elements, phase III of the Encyclopedia of DNA Elements (ENCODE) Project has expanded analysis of the cell and tissue repertoires of RNA transcription, chromatin structure and modification, DNA methylation, chromatin looping, and occupancy by transcription factors and RNA-binding proteins. Here we summarize these efforts, which have produced 5,992 new experimental datasets, including systematic determinations across mouse fetal development. All data are available through the ENCODE data portal (https://www.encodeproject.org), including phase II ENCODE1 and Roadmap Epigenomics2 data. We have developed a registry of 926,535 human and 339,815 mouse candidate cis-regulatory elements, covering 7.9 and 3.4% of their respective genomes, by integrating selected datatypes associated with gene regulation, and constructed a web-based server (SCREEN; http://screen.encodeproject.org) to provide flexible, user-defined access to this resource. Collectively, the ENCODE data and registry provide an expansive resource for the scientific community to build a better understanding of the organization and function of the human and mouse genomes.
- Published
- 2020
6. Expanded encyclopaedias of DNA elements in the human and mouse genomes.
- Author
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ENCODE Project Consortium, Moore, Jill E, Purcaro, Michael J, Pratt, Henry E, Epstein, Charles B, Shoresh, Noam, Adrian, Jessika, Kawli, Trupti, Davis, Carrie A, Dobin, Alexander, Kaul, Rajinder, Halow, Jessica, Van Nostrand, Eric L, Freese, Peter, Gorkin, David U, Shen, Yin, He, Yupeng, Mackiewicz, Mark, Pauli-Behn, Florencia, Williams, Brian A, Mortazavi, Ali, Keller, Cheryl A, Zhang, Xiao-Ou, Elhajjajy, Shaimae I, Huey, Jack, Dickel, Diane E, Snetkova, Valentina, Wei, Xintao, Wang, Xiaofeng, Rivera-Mulia, Juan Carlos, Rozowsky, Joel, Zhang, Jing, Chhetri, Surya B, Zhang, Jialing, Victorsen, Alec, White, Kevin P, Visel, Axel, Yeo, Gene W, Burge, Christopher B, Lécuyer, Eric, Gilbert, David M, Dekker, Job, Rinn, John, Mendenhall, Eric M, Ecker, Joseph R, Kellis, Manolis, Klein, Robert J, Noble, William S, Kundaje, Anshul, Guigó, Roderic, Farnham, Peggy J, Cherry, J Michael, Myers, Richard M, Ren, Bing, Graveley, Brenton R, Gerstein, Mark B, Pennacchio, Len A, Snyder, Michael P, Bernstein, Bradley E, Wold, Barbara, Hardison, Ross C, Gingeras, Thomas R, Stamatoyannopoulos, John A, and Weng, Zhiping
- Subjects
ENCODE Project Consortium ,Chromatin ,Animals ,Mice ,Transgenic ,Humans ,Mice ,Deoxyribonuclease I ,Transposases ,RNA-Binding Proteins ,Histones ,DNA ,Registries ,DNA Footprinting ,Genomics ,DNA Methylation ,DNA Replication Timing ,Transcription ,Genetic ,Regulatory Sequences ,Nucleic Acid ,Genome ,Genome ,Human ,Databases ,Genetic ,Molecular Sequence Annotation ,Human Genome ,HIV/AIDS ,Vaccine Related ,Biotechnology ,Genetics ,Immunization ,Vaccine Related (AIDS) ,Prevention ,1.1 Normal biological development and functioning ,Generic health relevance ,General Science & Technology - Abstract
The human and mouse genomes contain instructions that specify RNAs and proteins and govern the timing, magnitude, and cellular context of their production. To better delineate these elements, phase III of the Encyclopedia of DNA Elements (ENCODE) Project has expanded analysis of the cell and tissue repertoires of RNA transcription, chromatin structure and modification, DNA methylation, chromatin looping, and occupancy by transcription factors and RNA-binding proteins. Here we summarize these efforts, which have produced 5,992 new experimental datasets, including systematic determinations across mouse fetal development. All data are available through the ENCODE data portal (https://www.encodeproject.org), including phase II ENCODE1 and Roadmap Epigenomics2 data. We have developed a registry of 926,535 human and 339,815 mouse candidate cis-regulatory elements, covering 7.9 and 3.4% of their respective genomes, by integrating selected datatypes associated with gene regulation, and constructed a web-based server (SCREEN; http://screen.encodeproject.org) to provide flexible, user-defined access to this resource. Collectively, the ENCODE data and registry provide an expansive resource for the scientific community to build a better understanding of the organization and function of the human and mouse genomes.
- Published
- 2020
7. Perspectives on ENCODE.
- Author
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ENCODE Project Consortium, Snyder, Michael P, Gingeras, Thomas R, Moore, Jill E, Weng, Zhiping, Gerstein, Mark B, Ren, Bing, Hardison, Ross C, Stamatoyannopoulos, John A, Graveley, Brenton R, Feingold, Elise A, Pazin, Michael J, Pagan, Michael, Gilchrist, Daniel A, Hitz, Benjamin C, Cherry, J Michael, Bernstein, Bradley E, Mendenhall, Eric M, Zerbino, Daniel R, Frankish, Adam, Flicek, Paul, and Myers, Richard M
- Subjects
ENCODE Project Consortium ,Chromatin ,Animals ,Humans ,Mice ,Histones ,Transcription Factors ,Genomics ,DNA Methylation ,Gene Expression Regulation ,Binding Sites ,Regulatory Sequences ,Nucleic Acid ,Genome ,Genome ,Human ,Quality Control ,Databases ,Genetic ,Molecular Sequence Annotation ,Human Genome ,Vaccine Related ,Biotechnology ,Genetics ,Immunization ,Vaccine Related (AIDS) ,Prevention ,1.1 Normal biological development and functioning ,Generic health relevance ,General Science & Technology - Abstract
The Encylopedia of DNA Elements (ENCODE) Project launched in 2003 with the long-term goal of developing a comprehensive map of functional elements in the human genome. These included genes, biochemical regions associated with gene regulation (for example, transcription factor binding sites, open chromatin, and histone marks) and transcript isoforms. The marks serve as sites for candidate cis-regulatory elements (cCREs) that may serve functional roles in regulating gene expression1. The project has been extended to model organisms, particularly the mouse. In the third phase of ENCODE, nearly a million and more than 300,000 cCRE annotations have been generated for human and mouse, respectively, and these have provided a valuable resource for the scientific community.
- Published
- 2020
8. The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models
- Author
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Rozowsky, Joel, Gao, Jiahao, Borsari, Beatrice, Yang, Yucheng T., Galeev, Timur, Gürsoy, Gamze, Epstein, Charles B., Xiong, Kun, Xu, Jinrui, Li, Tianxiao, Liu, Jason, Yu, Keyang, Berthel, Ana, Chen, Zhanlin, Navarro, Fabio, Sun, Maxwell S., Wright, James, Chang, Justin, Cameron, Christopher J.F., Shoresh, Noam, Gaskell, Elizabeth, Drenkow, Jorg, Adrian, Jessika, Aganezov, Sergey, Aguet, François, Balderrama-Gutierrez, Gabriela, Banskota, Samridhi, Corona, Guillermo Barreto, Chee, Sora, Chhetri, Surya B., Cortez Martins, Gabriel Conte, Danyko, Cassidy, Davis, Carrie A., Farid, Daniel, Farrell, Nina P., Gabdank, Idan, Gofin, Yoel, Gorkin, David U., Gu, Mengting, Hecht, Vivian, Hitz, Benjamin C., Issner, Robbyn, Jiang, Yunzhe, Kirsche, Melanie, Kong, Xiangmeng, Lam, Bonita R., Li, Shantao, Li, Bian, Li, Xiqi, Lin, Khine Zin, Luo, Ruibang, Mackiewicz, Mark, Meng, Ran, Moore, Jill E., Mudge, Jonathan, Nelson, Nicholas, Nusbaum, Chad, Popov, Ioann, Pratt, Henry E., Qiu, Yunjiang, Ramakrishnan, Srividya, Raymond, Joe, Salichos, Leonidas, Scavelli, Alexandra, Schreiber, Jacob M., Sedlazeck, Fritz J., See, Lei Hoon, Sherman, Rachel M., Shi, Xu, Shi, Minyi, Sloan, Cricket Alicia, Strattan, J Seth, Tan, Zhen, Tanaka, Forrest Y., Vlasova, Anna, Wang, Jun, Werner, Jonathan, Williams, Brian, Xu, Min, Yan, Chengfei, Yu, Lu, Zaleski, Christopher, Zhang, Jing, Ardlie, Kristin, Cherry, J Michael, Mendenhall, Eric M., Noble, William S., Weng, Zhiping, Levine, Morgan E., Dobin, Alexander, Wold, Barbara, Mortazavi, Ali, Ren, Bing, Gillis, Jesse, Myers, Richard M., Snyder, Michael P., Choudhary, Jyoti, Milosavljevic, Aleksandar, Schatz, Michael C., Bernstein, Bradley E., Guigó, Roderic, Gingeras, Thomas R., and Gerstein, Mark
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- 2023
- Full Text
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9. Occupancy maps of 208 chromatin-associated proteins in one human cell type
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Partridge, E. Christopher, Chhetri, Surya B., Prokop, Jeremy W., Ramaker, Ryne C., Jansen, Camden S., Goh, Say-Tar, Mackiewicz, Mark, Newberry, Kimberly M., Brandsmeier, Laurel A., Meadows, Sarah K., Messer, C. Luke, Hardigan, Andrew A., Coppola, Candice J., Dean, Emma C., Jiang, Shan, Savic, Daniel, Mortazavi, Ali, Wold, Barbara J., Myers, Richard M., and Mendenhall, Eric M.
- Published
- 2020
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10. A small molecule that induces translational readthrough of CFTR nonsense mutations by eRF1 depletion
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Sharma, Jyoti, Du, Ming, Wong, Eric, Mutyam, Venkateshwar, Li, Yao, Chen, Jianguo, Wangen, Jamie, Thrasher, Kari, Fu, Lianwu, Peng, Ning, Tang, Liping, Liu, Kaimao, Mathew, Bini, Bostwick, Robert J., Augelli-Szafran, Corinne E., Bihler, Hermann, Liang, Feng, Mahiou, Jerome, Saltz, Josef, Rab, Andras, Hong, Jeong, Sorscher, Eric J., Mendenhall, Eric M., Coppola, Candice J., Keeling, Kim M., Green, Rachel, Mense, Martin, Suto, Mark J., Rowe, Steven M., and Bedwell, David M.
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- 2021
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11. Tissue-specific SMARCA4 binding at active and repressed regulatory elements during embryogenesis.
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Attanasio, Catia, Nord, Alex S, Zhu, Yiwen, Blow, Matthew J, Biddie, Simon C, Mendenhall, Eric M, Dixon, Jesse, Wright, Crystal, Hosseini, Roya, Akiyama, Jennifer A, Holt, Amy, Plajzer-Frick, Ingrid, Shoukry, Malak, Afzal, Veena, Ren, Bing, Bernstein, Bradley E, Rubin, Edward M, Visel, Axel, and Pennacchio, Len A
- Subjects
Extremities ,Myocardium ,Heart ,Brain ,Chromatin ,Animals ,Mice ,DNA Helicases ,Nuclear Proteins ,Histones ,Transcription Factors ,Organ Specificity ,Gene Expression Regulation ,Developmental ,Protein Binding ,Genome ,Regulatory Elements ,Transcriptional ,Human Genome ,Stem Cell Research ,Genetics ,Underpinning research ,1.1 Normal biological development and functioning ,Generic health relevance ,Biological Sciences ,Medical and Health Sciences ,Bioinformatics - Abstract
The SMARCA4 (also known as BRG1 in humans) chromatin remodeling factor is critical for establishing lineage-specific chromatin states during early mammalian development. However, the role of SMARCA4 in tissue-specific gene regulation during embryogenesis remains poorly defined. To investigate the genome-wide binding landscape of SMARCA4 in differentiating tissues, we engineered a Smarca4(FLAG) knock-in mouse line. Using ChIP-seq, we identified ∼51,000 SMARCA4-associated regions across six embryonic mouse tissues (forebrain, hindbrain, neural tube, heart, limb, and face) at mid-gestation (E11.5). The majority of these regions was distal from promoters and showed dynamic occupancy, with most distal SMARCA4 sites (73%) confined to a single or limited subset of tissues. To further characterize these regions, we profiled active and repressive histone marks in the same tissues and examined the intersection of informative chromatin states and SMARCA4 binding. This revealed distinct classes of distal SMARCA4-associated elements characterized by activating and repressive chromatin signatures that were associated with tissue-specific up- or down-regulation of gene expression and relevant active/repressed biological pathways. We further demonstrate the predicted active regulatory properties of SMARCA4-associated elements by retrospective analysis of tissue-specific enhancers and direct testing of SMARCA4-bound regions in transgenic mouse assays. Our results indicate a dual active/repressive function of SMARCA4 at distal regulatory sequences in vivo and support its role in tissue-specific gene regulation during embryonic development.
- Published
- 2014
12. Characterization of human transcription factor function and patterns of gene regulation in HepG2 cells
- Author
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Moyers, Belle A, primary, Partridge, E. Christopher, additional, Mackiewicz, Mark, additional, Betti, Michael J, additional, Darji, Roshan, additional, Meadows, Sarah K, additional, Newberry, Kimberly M, additional, Brandsmeier, Laurel A., additional, Wold, Barbara J., additional, Mendenhall, Eric M, additional, and Myers, Richard M., additional
- Published
- 2023
- Full Text
- View/download PDF
13. Allele biased transcription factor binding across human brain regions gives mechanistic insight into eQTLs
- Author
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Moyers, Belle A., primary, Loupe, Jacob M., additional, Felker, Stephanie A., additional, Lawlor, James M.J., additional, Anderson, Ashlyn G., additional, Rodriguez-Nunez, Ivan, additional, Bunney, William E., additional, Bunney, Blynn G., additional, Cartagena, Preston M., additional, Sequeira, Adolfo, additional, Watson, Stanley J., additional, Akil, Huda, additional, Mendenhall, Eric M., additional, Cooper, Gregory M., additional, and Myers, Richard M., additional
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- 2023
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14. Genomewide Analysis of PRC1 and PRC2 Occupancy Identifies Two Classes of Bivalent Domains
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Ku, Manching, Koche, Richard P, Rheinbay, Esther, Mendenhall, Eric M, Endoh, Mitsuhiro, Mikkelsen, Tarjei S, Presser, Aviva, Nusbaum, Chad, Xie, Xiaohui, Chi, Andrew S, Adli, Mazhar, Kasif, Simon, Ptaszek, Leon M, Cowan, Chad A, Lander, Eric S, Koseki, Haruhiko, and Bernstein, Bradley E
- Subjects
embryonic stem-cells ,group proteins ring1a/b ,rna-polymerase-ii ,nf-kappa-b ,developmental regulators ,drosophila-melanogaster ,polycomb targets ,histone h2a ,gene family ,es cells - Abstract
In embryonic stem (ES) cells, bivalent chromatin domains with overlapping repressive (H3 lysine 27 tri-methylation) and activating (H3 lysine 4 tri-methylation) histone modifications mark the promoters of more than 2,000 genes. To gain insight into the structure and function of bivalent domains, we mapped key histone modifications and subunits of Polycomb-repressive complexes 1 and 2 (PRC1 and PRC2) genomewide in human and mouse ES cells by chromatin immunoprecipitation, followed by ultra high-throughput sequencing. We find that bivalent domains can be segregated into two classes-the first occupied by both PRC2 and PRC1 (PRC1-positive) and the second specifically bound by PRC2 (PRC2-only). PRC1-positive bivalent domains appear functionally distinct as they more efficiently retain lysine 27 tri-methylation upon differentiation, show stringent conservation of chromatin state, and associate with an overwhelming number of developmental regulator gene promoters. We also used computational genomics to search for sequence determinants of Polycomb binding. This analysis revealed that the genomewide locations of PRC2 and PRC1 can be largely predicted from the locations, sizes, and underlying motif contents of CpG islands. We propose that large CpG islands depleted of activating motifs confer epigenetic memory by recruiting the full repertoire of Polycomb complexes in pluripotent cells.
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- 2008
15. Epitope Tagging ChIP-Seq of DNA Binding Proteins Using CETCh-Seq
- Author
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Meadows, Sarah K., primary, Brandsmeier, Laurel A., additional, Newberry, Kimberly M., additional, Betti, Michael J., additional, Nesmith, Amy S., additional, Mackiewicz, Mark, additional, Partridge, E. Christopher, additional, Mendenhall, Eric M., additional, and Myers, Richard M., additional
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- 2020
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16. Allele-specific transcription factor binding across human brain regions offers mechanistic insight into eQTLs
- Author
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Anderson, Ashlyn G., Moyers, Belle A., Loupe, Jacob M., Rodriguez-Nunez, Ivan, Felker, Stephanie A., Lawlor, James M.J., Bunney, William E., Bunney, Blynn G., Cartagena, Preston M., Sequeira, Adolfo, Watson, Stanley J., Akil, Huda, Mendenhall, Eric M., Cooper, Gregory M., and Myers, Richard M.
- Abstract
Transcription factors (TFs) regulate gene expression by facilitating or disrupting the formation of transcription initiation machinery at particular genomic loci. Because TF occupancy is driven in part by recognition of DNA sequence, genetic variation can influence TF–DNA associations and gene regulation. To identify variants that impact TF binding in human brain tissues, we assessed allele-specific binding (ASB) at heterozygous variants for 94 TFs in nine brain regions from two donors. Leveraging graph genomes constructed from phased genomic sequence data, we compared ChIP-seq signals between alleles at heterozygous variants within each brain region and identified thousands of variants exhibiting ASB for at least one TF. ASB reproducibility was measured by comparisons between independent experiments both within and between donors. We found that rare alleles in the general population more frequently led to reduced TF binding, whereas common alleles had an equal likelihood of increasing or decreasing binding. Further, for ASB variants in predicted binding motifs, the favored allele tended to be the one with the stronger expected motif match, but this concordance was not observed within highly occupied sites. We also found that neuron-specific cis-regulatory elements (cCREs), in contrast with oligodendrocyte-specific cCREs, showed depletion of ASB variants. We identified 2670 ASB variants associated with evidence for allele-specific gene expression in the brain from GTEx data and observed increasing eQTL effect direction concordance as ASB significance increases. These results provide a valuable and unique resource for mechanistic analysis of cis-regulatory variation in human brain tissue.
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- 2024
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17. Author Correction: Perspectives on ENCODE
- Author
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ENCODE Project Consortium, Snyder, Michael P, Gingeras, Thomas R, Moore, Jill E, Weng, Zhiping, Gerstein, Mark B, Ren, Bing, Hardison, Ross C, Stamatoyannopoulos, John A, Graveley, Brenton R, Feingold, Elise A, Pazin, Michael J, Pagan, Michael, Gilchrist, Daniel A, Hitz, Benjamin C, Cherry, J Michael, Bernstein, Bradley E, Mendenhall, Eric M, Zerbino, Daniel R, Frankish, Adam, Flicek, Paul, and Myers, Richard M
- Subjects
ENCODE Project Consortium ,General Science & Technology - Abstract
In this Article, the authors Rizi Ai (Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA) and Shantao Li (Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA) were mistakenly omitted from the ENCODE Project Consortium author list. The original Article has been corrected online.
- Published
- 2022
18. Author Correction: Expanded encyclopaedias of DNA elements in the human and mouse genomes
- Author
-
ENCODE Project Consortium, Moore, Jill E, Purcaro, Michael J, Pratt, Henry E, Epstein, Charles B, Shoresh, Noam, Adrian, Jessika, Kawli, Trupti, Davis, Carrie A, Dobin, Alexander, Kaul, Rajinder, Halow, Jessica, Van Nostrand, Eric L, Freese, Peter, Gorkin, David U, Shen, Yin, He, Yupeng, Mackiewicz, Mark, Pauli-Behn, Florencia, Williams, Brian A, Mortazavi, Ali, Keller, Cheryl A, Zhang, Xiao-Ou, Elhajjajy, Shaimae I, Huey, Jack, Dickel, Diane E, Snetkova, Valentina, Wei, Xintao, Wang, Xiaofeng, Rivera-Mulia, Juan Carlos, Rozowsky, Joel, Zhang, Jing, Chhetri, Surya B, Zhang, Jialing, Victorsen, Alec, White, Kevin P, Visel, Axel, Yeo, Gene W, Burge, Christopher B, Lécuyer, Eric, Gilbert, David M, Dekker, Job, Rinn, John, Mendenhall, Eric M, Ecker, Joseph R, Kellis, Manolis, Klein, Robert J, Noble, William S, Kundaje, Anshul, Guigó, Roderic, Farnham, Peggy J, Cherry, J Michael, Myers, Richard M, Ren, Bing, Graveley, Brenton R, Gerstein, Mark B, Pennacchio, Len A, Snyder, Michael P, Bernstein, Bradley E, Wold, Barbara, Hardison, Ross C, Gingeras, Thomas R, Stamatoyannopoulos, John A, and Weng, Zhiping
- Subjects
ENCODE Project Consortium ,General Science & Technology - Abstract
In the version of this article initially published, two members of the ENCODE Project Consortium were missing from the author list. Rizi Ai (Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA) and Shantao Li (Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA) are now included in the author list. These errors have been corrected in the online version of the article.
- Published
- 2022
19. Htt CAG repeat expansion confers pleiotropic gains of mutant huntingtin function in chromatin regulation
- Author
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Biagioli, Marta, Ferrari, Francesco, Mendenhall, Eric M., Zhang, Yijing, Erdin, Serkan, Vijayvargia, Ravi, Vallabh, Sonia M., Solomos, Nicole, Manavalan, Poornima, Ragavendran, Ashok, Ozsolak, Fatih, Lee, Jong Min, Talkowski, Michael E., Gusella, James F., Macdonald, Marcy E., Park, Peter J., and Seong, Ihn Sik
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- 2015
- Full Text
- View/download PDF
20. Locus-specific editing of histone modifications at endogenous enhancers
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Mendenhall, Eric M, Williamson, Kaylyn E, Reyon, Deepak, Zou, James Y, Ram, Oren, Joung, J Keith, and Bernstein, Bradley E
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- 2013
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21. Chromatin state maps: new technologies, new insights
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Mendenhall, Eric M and Bernstein, Bradley E
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- 2008
- Full Text
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22. Expanded encyclopaedias of DNA elements in the human and mouse genomes
- Author
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Massachusetts Institute of Technology. Computational and Systems Biology Program, Massachusetts Institute of Technology. Department of Biology, Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, Moore, Jill E., Purcaro, Michael J., Pratt, Henry E., Epstein, Charles B., Shoresh, Noam, Adrian, Jessika, Kawli, Trupti, Davis, Carrie A., Dobin, Alexander, Kaul, Rajinder, Halow, Jessica, Van Nostrand, Eric L., Freese, Peter Dale, Gorkin, David U., Shen, Yin, He, Yupeng, Mackiewicz, Mark, Pauli-Behn, Florencia, Williams, Brian A., Mortazavi, Ali, Keller, Cheryl A., Zhang, Xiao-Ou, Elhajjajy, Shaimae I., Huey, Jack, Dickel, Diane E., Snetkova, Valentina, Wei, Xintao, Wang, Xiaofeng, Rivera-Mulia, Juan Carlos, Rozowsky, Joel, Zhang, Jing, Chhetri, Surya B., Zhang, Jialing, Victorsen, Alec, White, Kevin P., Visel, Axel, Yeo, Gene W., Burge, Christopher B, Lécuyer, Eric, Gilbert, David M., Dekker, Job, Rinn, John, Mendenhall, Eric M., Ecker, Joseph R., Kellis, Manolis, Klein, Robert J., Noble, William S., Kundaje, Anshul, Guigó, Roderic, Farnham, Peggy J., Cherry, J. Michael, Myers, Richard M., Ren, Bing, Graveley, Brenton R., Gerstein, Mark B., Pennacchio, Len A., Snyder, Michael P., Bernstein, Bradley E., Wold, Barbara, Hardison, Ross C., Gingeras, Thomas R., Stamatoyannopoulos, John A., Weng, Zhiping, Massachusetts Institute of Technology. Computational and Systems Biology Program, Massachusetts Institute of Technology. Department of Biology, Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, Moore, Jill E., Purcaro, Michael J., Pratt, Henry E., Epstein, Charles B., Shoresh, Noam, Adrian, Jessika, Kawli, Trupti, Davis, Carrie A., Dobin, Alexander, Kaul, Rajinder, Halow, Jessica, Van Nostrand, Eric L., Freese, Peter Dale, Gorkin, David U., Shen, Yin, He, Yupeng, Mackiewicz, Mark, Pauli-Behn, Florencia, Williams, Brian A., Mortazavi, Ali, Keller, Cheryl A., Zhang, Xiao-Ou, Elhajjajy, Shaimae I., Huey, Jack, Dickel, Diane E., Snetkova, Valentina, Wei, Xintao, Wang, Xiaofeng, Rivera-Mulia, Juan Carlos, Rozowsky, Joel, Zhang, Jing, Chhetri, Surya B., Zhang, Jialing, Victorsen, Alec, White, Kevin P., Visel, Axel, Yeo, Gene W., Burge, Christopher B, Lécuyer, Eric, Gilbert, David M., Dekker, Job, Rinn, John, Mendenhall, Eric M., Ecker, Joseph R., Kellis, Manolis, Klein, Robert J., Noble, William S., Kundaje, Anshul, Guigó, Roderic, Farnham, Peggy J., Cherry, J. Michael, Myers, Richard M., Ren, Bing, Graveley, Brenton R., Gerstein, Mark B., Pennacchio, Len A., Snyder, Michael P., Bernstein, Bradley E., Wold, Barbara, Hardison, Ross C., Gingeras, Thomas R., Stamatoyannopoulos, John A., and Weng, Zhiping
- Abstract
The human and mouse genomes contain instructions that specify RNAs and proteins and govern the timing, magnitude, and cellular context of their production. To better delineate these elements, phase III of the Encyclopedia of DNA Elements (ENCODE) Project has expanded analysis of the cell and tissue repertoires of RNA transcription, chromatin structure and modification, DNA methylation, chromatin looping, and occupancy by transcription factors and RNA-binding proteins. Here we summarize these efforts, which have produced 5,992 new experimental datasets, including systematic determinations across mouse fetal development. All data are available through the ENCODE data portal (https://www.encodeproject.org), including phase II ENCODE1 and Roadmap Epigenomics2 data. We have developed a registry of 926,535 human and 339,815 mouse candidate cis-regulatory elements, covering 7.9 and 3.4% of their respective genomes, by integrating selected datatypes associated with gene regulation, and constructed a web-based server (SCREEN; http://screen.encodeproject.org) to provide flexible, user-defined access to this resource. Collectively, the ENCODE data and registry provide an expansive resource for the scientific community to build a better understanding of the organization and function of the human and mouse genomes., NIH (Grants U01HG007019, U01HG007033, U01HG007036, U01HG007037, U41HG006992, U41HG006993, U41HG006994, U41HG006995, U41HG006996, U41HG006997, U41HG006998, U41HG006999, U41HG007000, U41HG007001, U41HG007002, U41HG007003, U54HG006991, U54HG006997, U54HG006998, U54HG007004, U54HG007005, U54HG007010 and UM1HG009442)
- Published
- 2021
23. The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models
- Author
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Rozowsky, Joel, primary, Drenkow, Jorg, additional, Yang, Yucheng T, additional, Gursoy, Gamze, additional, Galeev, Timur, additional, Borsari, Beatrice, additional, Epstein, Charles B, additional, Xiong, Kun, additional, Xu, Jinrui, additional, Gao, Jiahao, additional, Yu, Keyang, additional, Berthel, Ana, additional, Chen, Zhanlin, additional, Navarro, Fabio, additional, Liu, Jason, additional, Sun, Maxwell S, additional, Wright, James, additional, Chang, Justin, additional, Cameron, Christopher JF, additional, Shoresh, Noam, additional, Gaskell, Elizabeth, additional, Adrian, Jessika, additional, Aganezov, Sergey, additional, Aguet, François, additional, Balderrama-Gutierrez, Gabriela, additional, Banskota, Samridhi, additional, Corona, Guillermo Barreto, additional, Chee, Sora, additional, Chhetri, Surya B, additional, Cortez Martins, Gabriel Conte, additional, Danyko, Cassidy, additional, Davis, Carrie A, additional, Farid, Daniel, additional, Farrell, Nina P, additional, Gabdank, Idan, additional, Gofin, Yoel, additional, Gorkin, David U, additional, Gu, Mengting, additional, Hecht, Vivian, additional, Hitz, Benjamin C, additional, Issner, Robbyn, additional, Kirsche, Melanie, additional, Kong, Xiangmeng, additional, Lam, Bonita R, additional, Li, Shantao, additional, Li, Bian, additional, Li, Tianxiao, additional, Li, Xiqi, additional, Lin, Khine Zin, additional, Luo, Ruibang, additional, Mackiewicz, Mark, additional, Moore, Jill E, additional, Mudge, Jonathan, additional, Nelson, Nicholas, additional, Nusbaum, Chad, additional, Popov, Ioann, additional, Pratt, Henry E, additional, Qiu, Yunjiang, additional, Ramakrishnan, Srividya, additional, Raymond, Joe, additional, Salichos, Leonidas, additional, Scavelli, Alexandra, additional, Schreiber, Jacob M, additional, Sedlazeck, Fritz J, additional, See, Lei Hoon, additional, Sherman, Rachel M, additional, Shi, Xu, additional, Shi, Minyi, additional, Sloan, Cricket Alicia, additional, Strattan, J Seth, additional, Tan, Zhen, additional, Tanaka, Forrest Y, additional, Vlasova, Anna, additional, Wang, Jun, additional, Werner, Jonathan, additional, Williams, Brian, additional, Xu, Min, additional, Yan, Chengfei, additional, Yu, Lu, additional, Zaleski, Christopher, additional, Zhang, Jing, additional, Ardlie, Kristin, additional, Cherry, J Michael, additional, Mendenhall, Eric M, additional, Noble, William S, additional, Weng, Zhiping, additional, Levine, Morgan E, additional, Dobin, Alexander, additional, Wold, Barbara, additional, Mortazavi, Ali, additional, Ren, Bing, additional, Gillis, Jesse, additional, Myers, Richard M, additional, Snyder, Michael P, additional, Choudhary, Jyoti, additional, Milosavljevic, Aleksandar, additional, Schatz, Michael C, additional, Guigó, Roderic, additional, Bernstein, Bradley E, additional, Gingeras, Thomas R, additional, and Gerstein, Mark, additional
- Published
- 2021
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24. Characterization of expanded intermediate cell mass in zebrafish chordin morphant embryos
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Leung, Anskar Y.H., Mendenhall, Eric M., Kwan, Tommy T.F., Liang, Raymond, Eckfeldt, Craig, Chen, Eleanor, Hammerschmidt, Matthias, Grindley, Suzanne, Ekker, Stephen C., and Verfaillie, Catherine M.
- Subjects
Zebra fish -- Research ,Gene expression -- Research ,Biological sciences - Abstract
We investigated the mechanisms of intermediate cell mass (ICM) expansion in zebrafish chordin (Chd) morphant embryos and examined the role of BMPs in relation to this phenotype. At 24 h post-fertilization (hpf), the expanded ICM of embryos injected with chd morpholino (MO) ([Chd.sup.Mo] embryos) contained a monotonous population of hematopoietic progenitors. In situ hybridization showed that hematopoietic transcription factors were ubiquitously expressed in the ICM whereas vascular gene expression was confined to the periphery. BMP4 (but not BMP2b or 7) and smad5 mRNA were ectopically expressed in the [Chd.sup.MO] ICM. At 48 hpf, monocytic cells were evident in both the ICM and circulation of [Chd.sup.MO] but not WT embryos. While injection of BMP4 MO had no effect on WT hematopoiesis, co-injecting BMP4 with chd MOs significantly reduced ICM expansion. Microarray studies revealed a number of genes that were differentially expressed in [Chd.sup.Mo] and WT embryos and their roles in hematopoiesis has yet to be determined. In conclusion, the expanded ICM in [Chd.sup.MO] embryos represented an expansion of embryonic hematopoiesis that was skewed towards a monocytic lineage. BMP4, but not BMP2b or 7, was involved in this process. The results provide ground for further research into the mechanisms of embryonic hematopoietic cell expansion. Keywords: Zebrafish; Chordin; BMP; Morpholino; Hematopoiesis; Gene expression; Microarray; Differentiation
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- 2005
25. Coordinate regulation ofELF5andEHFat the chr11p13 CF modifier region
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Swahn, Hannah, primary, Sabith Ebron, Jey, additional, Lamar, Kay‐Marie, additional, Yin, Shiyi, additional, Kerschner, Jenny L., additional, NandyMazumdar, Monali, additional, Coppola, Candice, additional, Mendenhall, Eric M., additional, Leir, Shih‐Hsing, additional, and Harris, Ann, additional
- Published
- 2019
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26. Occupancy patterns of 208 DNA-associated proteins in a single human cell type
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Partridge, E. Christopher, primary, Chhetri, Surya B., additional, Prokop, Jeremy W., additional, Ramaker, Ryne C., additional, Jansen, Camden S., additional, Goh, Say-Tar, additional, Mackiewicz, Mark, additional, Newberry, Kimberly M., additional, Brandsmeier, Laurel A., additional, Meadows, Sarah K., additional, Messer, C. Luke, additional, Hardigan, Andrew A., additional, Dean, Emma C., additional, Jiang, Shan, additional, Savic, Daniel, additional, Mortazavi, Ali, additional, Wold, Barbara J., additional, Myers, Richard M., additional, and Mendenhall, Eric M., additional
- Published
- 2018
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27. Characterization of Coding and Noncoding Variants for Human CKD Using Novel Strategies
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Prokop, Jeremy W., primary, Yeo, Nan C., additional, Ottmann, Christian, additional, Link, Brian A., additional, Mendenhall, Eric M., additional, Freedman, Barry I., additional, Lazar, Jozef, additional, and Jacob, Howard J., additional
- Published
- 2018
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28. Altered wheel running and exploratory activity in a mouse model of Tyrosinemia Type I
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Macgregor, Gordon G., Watkins, Timley, Coker, Sarah, Barnby, Beth, and Mendenhall, Eric M.
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Physiological regulation -- Observations ,Exercise -- Physiological aspects ,Inborn errors of metabolism -- Development and progression ,Science and technology - Abstract
ALTERED WHEEL RUNNING AND EXPLORATORY ACTIVITY IN A MOUSE MODEL OF TYROSINEMIA TYPE I. GORDON G. MACGREGOR, TIMLEY WATKINS, SARAH COKER, BETH BARNBY, ERIC M. MENDENHALL. DEPT. OF BIOLOGICAL SCIENCES [...]
- Published
- 2015
29. Characterization of Coding/Noncoding Variants for SHROOM3 in Patients with CKD
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Prokop, Jeremy W., primary, Yeo, Nan Cher, additional, Ottmann, Christian, additional, Chhetri, Surya B., additional, Florus, Kacie L., additional, Ross, Emily J., additional, Sosonkina, Nadiya, additional, Link, Brian A., additional, Freedman, Barry I., additional, Coppola, Candice J., additional, McDermott-Roe, Chris, additional, Leysen, Seppe, additional, Milroy, Lech-Gustav, additional, Meijer, Femke A., additional, Geurts, Aron M., additional, Rauscher, Frank J., additional, Ramaker, Ryne, additional, Flister, Michael J., additional, Jacob, Howard J., additional, Mendenhall, Eric M., additional, and Lazar, Jozef, additional
- Published
- 2018
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30. Coordinate regulation of ELF5 and EHF at the chr11p13 CF modifier region.
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Swahn, Hannah, Sabith Ebron, Jey, Lamar, Kay‐Marie, Yin, Shiyi, Kerschner, Jenny L., NandyMazumdar, Monali, Coppola, Candice, Mendenhall, Eric M., Leir, Shih‐Hsing, and Harris, Ann
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TRANSCRIPTION factors ,LUNG diseases ,CYSTIC fibrosis ,EPITHELIAL cells ,EXOCRINE glands ,CANCER cells ,CHROMATIN - Abstract
E74‐like factor 5 (ELF5) and ETS‐homologous factor (EHF) are epithelial selective ETS family transcription factors (TFs) encoded by genes at chr11p13, a region associated with cystic fibrosis (CF) lung disease severity. EHF controls many key processes in lung epithelial function so its regulatory mechanisms are important. Using CRISPR/Cas9 technology, we removed three key cis‐regulatory elements (CREs) from the chr11p13 region and also activated multiple open chromatin sites with CRISPRa in airway epithelial cells. Deletion of the CREs caused subtle changes in chromatin architecture and site‐specific increases in EHF and ELF5. CRISPRa had most effect on ELF5 transcription. ELF5 levels are low in airway cells but higher in LNCaP (prostate) and T47D (breast) cancer cells. ATAC‐seq in these lines revealed novel peaks of open chromatin at the 5' end of chr11p13 associated with an expressed ELF5 gene. Furthermore, 4C‐seq assays identified direct interactions between the active ELF5 promoter and sites within the EHF locus, suggesting coordinate regulation between these TFs. ChIP‐seq for ELF5 in T47D cells revealed ELF5 occupancy within EHF introns 1 and 6, and siRNA‐mediated depletion of ELF5 enhanced EHF expression. These results define a new role for ELF5 in lung epithelial biology. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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31. Identification and function of enhancers in the human genome
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Coppola, Candice J., primary, C. Ramaker, Ryne, additional, and Mendenhall, Eric M., additional
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- 2016
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32. Every transcription factor deserves its map: Scaling up epitope tagging of proteins to bypass antibody problems
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Partridge, E. Christopher, primary, Watkins, Timley A., additional, and Mendenhall, Eric M., additional
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- 2016
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33. TALE and CRISPR based genome and epigenome editing: Finding function in the non-coding genome
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Mendenhall, Eric M., primary
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- 2016
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34. CETCh-seq: CRISPR epitope tagging ChIP-seq of DNA-binding proteins
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Savic, Daniel, primary, Partridge, E. Christopher, additional, Newberry, Kimberly M., additional, Smith, Sophia B., additional, Meadows, Sarah K., additional, Roberts, Brian S., additional, Mackiewicz, Mark, additional, Mendenhall, Eric M., additional, and Myers, Richard M., additional
- Published
- 2015
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35. GC-Rich Sequence Elements Recruit PRC2 in Mammalian ES Cells
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Harvard University--MIT Division of Health Sciences and Technology, Koche, Richard Patrick, Mendenhall, Eric M., Truong, Thanh, Zhou, Vicky W., Issac, Biju, Chi, Andrew S., Ku, Manching, Bernstein, Bradley E., Harvard University--MIT Division of Health Sciences and Technology, Koche, Richard Patrick, Mendenhall, Eric M., Truong, Thanh, Zhou, Vicky W., Issac, Biju, Chi, Andrew S., Ku, Manching, and Bernstein, Bradley E.
- Abstract
Polycomb proteins are epigenetic regulators that localize to developmental loci in the early embryo where they mediate lineage-specific gene repression. In Drosophila, these repressors are recruited to sequence elements by DNA binding proteins associated with Polycomb repressive complex 2 (PRC2). However, the sequences that recruit PRC2 in mammalian cells have remained obscure. To address this, we integrated a series of engineered bacterial artificial chromosomes into embryonic stem (ES) cells and examined their chromatin. We found that a 44 kb region corresponding to the Zfpm2 locus initiates de novo recruitment of PRC2. We then pinpointed a CpG island within this locus as both necessary and sufficient for PRC2 recruitment. Based on this causal demonstration and prior genomic analyses, we hypothesized that large GC-rich elements depleted of activating transcription factor motifs mediate PRC2 recruitment in mammals. We validated this model in two ways. First, we showed that a constitutively active CpG island is able to recruit PRC2 after excision of a cluster of activating motifs. Second, we showed that two 1 kb sequence intervals from the Escherichia coli genome with GC-contents comparable to a mammalian CpG island are both capable of recruiting PRC2 when integrated into the ES cell genome. Our findings demonstrate a causal role for GC-rich sequences in PRC2 recruitment and implicate a specific subset of CpG islands depleted of activating motifs as instrumental for the initial localization of this key regulator in mammalian genomes., Burroughs Wellcome Fund, Charles E. Culpeper Foundation, Massachusetts General Hospital, Broad Institute of MIT and Harvard
- Published
- 2011
36. Identification of promoter targets of enhancers by epigenetic knockdown using TAL DNA binding proteins
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Mendenhall, Eric M, primary, Williamson, Kaylyn, additional, Reyon, Deepak, additional, Joung, J Keith, additional, and Bernstein, Bradley E, additional
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- 2013
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37. DNA-protein interactions in high definition
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Mendenhall, Eric M, primary and Bernstein, Bradley E, additional
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- 2012
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38. GC-Rich Sequence Elements Recruit PRC2 in Mammalian ES Cells
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Mendenhall, Eric M., primary, Koche, Richard P., additional, Truong, Thanh, additional, Zhou, Vicky W., additional, Issac, Biju, additional, Chi, Andrew S., additional, Ku, Manching, additional, and Bernstein, Bradley E., additional
- Published
- 2010
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39. Genome-Wide Reverse Genetics Framework to Identify Novel Functions of the Vertebrate Secretome
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Pickart, Michael A., primary, Klee, Eric W., additional, Nielsen, Aubrey L., additional, Sivasubbu, Sridhar, additional, Mendenhall, Eric M., additional, Bill, Brent R., additional, Chen, Eleanor, additional, Eckfeldt, Craig E., additional, Knowlton, Michelle, additional, Robu, Mara E., additional, Larson, Jon D., additional, Deng, Yun, additional, Schimmenti, Lisa A., additional, Ellis, Lynda B.M., additional, Verfaillie, Catherine M., additional, Hammerschmidt, Matthias, additional, Farber, Steven A., additional, and Ekker, Stephen C., additional
- Published
- 2006
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40. SPRY1 Is a Negative Regulator of Long-Term In Vivo Engraftment and Ex Vivo Expansion of Primitive Human Umbilical Cord Blood Cells.
- Author
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Eckfeldt, Craig E., primary, Mendenhall, Eric M., primary, and Verfaillie, Catherine M., primary
- Published
- 2005
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41. SNX5, a Novel Gene Linked to Fanconi Anemia Causes Hematopoietic Failure When Knocked down in Zebrafish.
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Flynn, Catherine M., primary, Mendenhall, Eric M., primary, Eckfeldt, Craig E., primary, Wagner, John E., primary, and Verfaillie, Catherine M., primary
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- 2005
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42. The molecular repertoire of the 'almighty' stem cell
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Eckfeldt, Craig E., primary, Mendenhall, Eric M., additional, and Verfaillie, Catherine M., additional
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- 2005
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43. Functional Analysis of Human Hematopoietic Stem Cell Gene Expression Using Zebrafish
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Eckfeldt, Craig E, primary, Mendenhall, Eric M, additional, Flynn, Catherine M, additional, Wang, Tzu-Fei, additional, Pickart, Michael A, additional, Grindle, Suzanne M, additional, Ekker, Stephen C, additional, and Verfaillie, Catherine M, additional
- Published
- 2005
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44. The Role of Sprouty Family Members in Hematopiesis in Zebrafish and Mammals.
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Mendenhall, Eric M., primary, Eckfeldt, Craig E., primary, Ekker, Stephen C., primary, and Verfaillie, Catherine M., primary
- Published
- 2004
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45. Functional Analysis of the Differential Gene Expression Profile of Human HSC Using a Functional Genomics Screen in the Zebrafish.
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Eckfeldt, Craig E., primary, Mendenhall, Eric M., primary, Ekker, Stephen C., primary, and Verfaillie, Catherine M., primary
- Published
- 2004
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- View/download PDF
46. GC-Rich Sequence Elements Recruit PRC2 in Mammalian ES Cells.
- Author
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Mendenhall, Eric M., Koche, Richard P., Thanh Truong, Zhou, Vicky W., Issac, Biju, Chi, Andrew S., Manching Ku, and Bernstein, Bradley E.
- Subjects
- *
DNA-binding proteins , *EPIGENESIS , *GENETIC regulation , *DROSOPHILA , *NUCLEOTIDE sequence , *CHROMOSOMES ,MAMMAL cytology - Published
- 2011
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47. Genomewide Analysis of PRC1 and PRC2 Occupancy Identifies Two Classes of Bivalent Domains.
- Author
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Manching Ku, Koche, Richard P., Rheinbay, Esther, Mendenhall, Eric M., Endoh, Mitsuhiro, Mikkelsen, Tarjei S., Presser, Aviva, Nusbaum, Chad, Xiaohui Xie, Chi, Andrew S., Adli, Mazhar, Kasif, Simon, Ptaszek, Leon M., Cowan, Chad A., Lander, Eric S., Koseki, Haruhiko, and Bernstein, Bradley E.
- Subjects
CHROMATIN ,EMBRYONIC stem cells ,GENOMES ,METHYLATION ,LYSINE ,GENE expression ,GENOMICS - Abstract
In embryonic stem (ES) cells, bivalent chromatin domains with overlapping repressive (H3 lysine 27 tri-methylation) and activating (H3 lysine 4 tri-methylation) histonemodifications mark the promoters of more than 2,000 genes. To gain insight into the structure and function of bivalent domains, we mapped key histone modifications and subunits of Polycomb-repressive complexes 1 and 2 (PRC1 and PRC2) genomewide in human and mouse ES cells by chromatin immunoprecipitation, followed by ultra high-throughput sequencing. We find that bivalent domains can be segregated into two classes—the first occupied by both PRC2 and PRC1 (PRC1-positive) and the second specifically bound by PRC2 (PRC2-only). PRC1-positive bivalent domains appear functionally distinct as they more efficiently retain lysine 27 tri-methylation upon differentiation, show stringent conservation of chromatin state, and associate with an overwhelming number of developmental regulator gene promoters.We also used computational genomics to search for sequence determinants of Polycomb binding. This analysis revealed that the genomewide locations of PRC2 and PRC1 can be largely predicted from the locations, sizes, and underlying motif contents of CpG islands. We propose that large CpG islands depleted of activating motifs confer epigenetic memory by recruiting the full repertoire of Polycomb complexes in pluripotent cells. [ABSTRACT FROM AUTHOR]
- Published
- 2008
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48. Genomewide Analysis of PRC1 and PRC2 Occupancy Identifies Two Classes of Bivalent Domains
- Author
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Rheinbay, Esther, Endoh, Mitsuhiro, Mikkelsen, Tarjei S., Nusbaum, Chad, Xie, Xiaohui, Adli, Mazhar, Kasif, Simon, Ptaszek, Leon M., Koseki, Haruhiko, van Steensel, Bas, Ku, Manching, Koche, Richard Patrick, Mendenhall, Eric M, Presser, Aviva, Chi, Andrew S., Cowan, Chad, Lander, Eric, and Bernstein, Bradley
- Subjects
developmental biology ,developmental molecular mechanisms ,stem cells ,genetics and genomics ,bioinformatics ,epigenetics ,functional genomics ,molecular biology ,histone modification - Abstract
In embryonic stem (ES) cells, bivalent chromatin domains with overlapping repressive (H3 lysine 27 tri-methylation) and activating (H3 lysine 4 tri-methylation) histone modifications mark the promoters of more than 2,000 genes. To gain insight into the structure and function of bivalent domains, we mapped key histone modifications and subunits of Polycomb-repressive complexes 1 and 2 (PRC1 and PRC2) genomewide in human and mouse ES cells by chromatin immunoprecipitation, followed by ultra high-throughput sequencing. We find that bivalent domains can be segregated into two classes—the first occupied by both PRC2 and PRC1 (PRC1-positive) and the second specifically bound by PRC2 (PRC2-only). PRC1-positive bivalent domains appear functionally distinct as they more efficiently retain lysine 27 tri-methylation upon differentiation, show stringent conservation of chromatin state, and associate with an overwhelming number of developmental regulator gene promoters. We also used computational genomics to search for sequence determinants of Polycomb binding. This analysis revealed that the genomewide locations of PRC2 and PRC1 can be largely predicted from the locations, sizes, and underlying motif contents of CpG islands. We propose that large CpG islands depleted of activating motifs confer epigenetic memory by recruiting the full repertoire of Polycomb complexes in pluripotent cells., Stem Cell and Regenerative Biology, Version of Record
- Published
- 2008
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- View/download PDF
49. SPRY1Is a Negative Regulator of Long-Term In VivoEngraftment and Ex VivoExpansion of Primitive Human Umbilical Cord Blood Cells.
- Author
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Eckfeldt, Craig E., Mendenhall, Eric M., and Verfaillie, Catherine M.
- Abstract
Hematopoietic stem cells (HSCs) are functionally defined by their capacity to home to the bone marrow microenvironment, proliferate and differentiate to restore normal hematopoiesis in a myeloablated recipient; however, the molecular determinants of these processes are not well understood. By comparing the gene expression profiles of highly purified human HSC-enriched and HSC-depleted cell populations, and subsequently validating the hematopoietic function of a subset of these differentially expressed genes using zebrafish (Danio rerio), we previously identified human Sprouty 1 (SPRY1), an evolutionarily conserved antagonist of RTK signaling, as a potential regulator of mammalian HSC development and/or cell-fate decisions. To directly assess the role of SPRY1in mammalian HSC and hematopoietic progenitor cell (HPC) function, we constructed a dual-promoter lentiviral vector to co-express SPRY1and green fluorescent protein (GFP) (SPRY1-LV) and a control lentiviral vector to express GFP alone (GFP-LV) in the CD34+fraction of human umbilical cord blood (UCB). While the enforced expression of SPRY1in CD34+UCB cells had no effect on the frequency or morphology of colonies generated in short-term in vitro colony-forming cell (CFC) assays (SPRY1-LV = 27.6 ± 12.3% and GFP-LV = 28.4 ± 20.0%; n = 3), it profoundly inhibited the capacity of UCB CD34+cells to engraft in the bone marrow NOD-SCID mice in vivo. The estimated frequency of week 11 SCID-repopulating cells (SRC) (± 1 standard error) for SPRY1-LV (n = 13 mice) and GFP-LV (n = 15 mice) cells was 1 in 12,678 cells (6,167 – 26,064) and 1 in 3,412 cells (2,272 – 5,124), respectively, as determined using limiting dilution conditions and Poisson statistics. Furthermore, in 14 day cultures designed for the ex vivo expansion and/or maintenance of primitive hematopoietic cells, ectopic expression of SPRY1in CD34+UCB cells dramatically inhibited the expansion of total nucleated cells (SPRY1-LV = 37.9 ± 10.1 fold; GFP-LV = 71.1 ± 5.8 fold; n = 3; p<0.05) and CFCs (SPRY1-LV = 5.7 ± 1.2 fold; GFP-LV = 20.8 ± 14.9 fold; n = 3), although it had no effect on expansion of CD34+CD38−cells. We are currently investigating potential mechanisms for the observed affects of SPRY1on primitive hematopoietic cells, paying particular attention to the possible effects of SPRY1 expression on “early-acting” hematopoietic cytokines and growth factors that activate RTKs - including FGF1, FGF2, VEGF, SCF, FLT3L, and ANGPT1. In conclusion, enforced expression of SPRY1negatively regulates primitive hematopoietic cell engraftment in vivoand expansion in vitro, thereby presenting the first example of a role for a Sprouty family member, SPRY1, in primitive human hematopoietic cell function. Moreover, this data further validates the use of model organisms, such as zebrafish, for evaluating the functional roles of transcripts identified in large-scale gene expression profiling experiments in mice and humans.
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- 2005
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50. Genomic Characterization of Metformin Hepatic Response
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Stacy L. Jones, Yao Wang, Yi-Hui Zhou, Cliona Molony, Sook Wah Yee, Lawrence Lin, Walter L. Eckalbar, Marcelo R. Luizon, Amy S. Etheridge, Paul J. Gallins, Kathleen M. Giacomini, Robin P. Smith, Fred A. Wright, Federico Innocenti, Nadav Ahituv, Megan Laurance, and Mendenhall, Eric M
- Subjects
0301 basic medicine ,Cancer Research ,endocrine system diseases ,Activating transcription factor ,Ataxia Telangiectasia Mutated Proteins ,AMP-Activated Protein Kinases ,Biochemistry ,Linkage Disequilibrium ,DEAD-box RNA Helicases ,Animal Cells ,Medicine and Health Sciences ,Small interfering RNAs ,Genetics (clinical) ,Regulation of gene expression ,Liver Disease ,Adaptor Proteins ,Single Nucleotide ,Genomics ,Metformin ,3. Good health ,Nucleic acids ,Enhancer Elements, Genetic ,Liver ,Gene Knockdown Techniques ,Cellular Types ,Anatomy ,Type 2 ,Biotechnology ,medicine.drug ,Research Article ,Enhancer Elements ,lcsh:QH426-470 ,Biology ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,Genetic ,Gene Types ,DNA-binding proteins ,Diabetes Mellitus ,medicine ,Genetics ,Genome-Wide Association Studies ,Humans ,Polymorphism ,Enhancer ,Non-coding RNA ,Molecular Biology ,Transcription factor ,Gene ,Metabolic and endocrine ,Ecology, Evolution, Behavior and Systematics ,Adaptor Proteins, Signal Transducing ,Evolutionary Biology ,Activating Transcription Factor 3 ,Biology and life sciences ,Population Biology ,Human Genome ,Signal Transducing ,Gluconeogenesis ,AMPK ,nutritional and metabolic diseases ,Proteins ,Computational Biology ,Human Genetics ,Cell Biology ,Genome Analysis ,Gene regulation ,Regulatory Proteins ,lcsh:Genetics ,030104 developmental biology ,Haplotypes ,Diabetes Mellitus, Type 2 ,Expression quantitative trait loci ,Cancer research ,Hepatocytes ,RNA ,Regulator Genes ,Gene expression ,Digestive Diseases ,Population Genetics ,Developmental Biology ,Transcription Factors - Abstract
Metformin is used as a first-line therapy for type 2 diabetes (T2D) and prescribed for numerous other diseases. However, its mechanism of action in the liver has yet to be characterized in a systematic manner. To comprehensively identify genes and regulatory elements associated with metformin treatment, we carried out RNA-seq and ChIP-seq (H3K27ac, H3K27me3) on primary human hepatocytes from the same donor treated with vehicle control, metformin or metformin and compound C, an AMP-activated protein kinase (AMPK) inhibitor (allowing to identify AMPK-independent pathways). We identified thousands of metformin responsive AMPK-dependent and AMPK-independent differentially expressed genes and regulatory elements. We functionally validated several elements for metformin-induced promoter and enhancer activity. These include an enhancer in an ataxia telangiectasia mutated (ATM) intron that has SNPs in linkage disequilibrium with a metformin treatment response GWAS lead SNP (rs11212617) that showed increased enhancer activity for the associated haplotype. Expression quantitative trait locus (eQTL) liver analysis and CRISPR activation suggest that this enhancer could be regulating ATM, which has a known role in AMPK activation, and potentially also EXPH5 and DDX10, its neighboring genes. Using ChIP-seq and siRNA knockdown, we further show that activating transcription factor 3 (ATF3), our top metformin upregulated AMPK-dependent gene, could have an important role in gluconeogenesis repression. Our findings provide a genome-wide representation of metformin hepatic response, highlight important sequences that could be associated with interindividual variability in glycemic response to metformin and identify novel T2D treatment candidates., Author Summary Metformin is among the most widely prescribed drugs. It is used as a first line therapy for type 2 diabetes (T2D), and for additional diseases including cancer. The variability in response to metformin is substantial and can be caused by genetic factors. However, the molecular mechanisms of metformin action are not fully known. Here, we used various genomic assays to analyze human liver cells treated with or without metformin and identified in a genome-wide manner thousands of differentially expressed genes and gene regulatory elements affected by metformin. Follow up functional assays identified several novel genes and regulatory elements to be associated with metformin response. These include ATF3, a gene that showed gluconeogenesis repression upon metformin response and a potential regulatory element of the ATM gene that is associated with metformin treatment differences through genome-wide association studies. Combined, this work identifies several novel genes and gene regulatory elements that can be activated due to metformin treatment and thus provides candidate sequences in the human genome where nucleotide variation can lead to differences in metformin response. It also enables the identification and prioritization of novel candidates for T2D treatment.
- Published
- 2016
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