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Your search keyword '"Pachkov, M."' showing total 2 results
Start Over Author "Pachkov, M." Journal nature genetics
2 results on '"Pachkov, M."'

1. Multiomic atlas with functional stratification and developmental dynamics of zebrafish cis-regulatory elements.

Author

Baranasic D, Hörtenhuber M, Balwierz PJ, Zehnder T, Mukarram AK, Nepal C, Várnai C, Hadzhiev Y, Jimenez-Gonzalez A, Li N, Wragg J, D'Orazio FM, Relic D, Pachkov M, Díaz N, Hernández-Rodríguez B, Chen Z, Stoiber M, Dong M, Stevens I, Ross SE, Eagle A, Martin R, Obasaju O, Rastegar S, McGarvey AC, Kopp W, Chambers E, Wang D, Kim HR, Acemel RD, Naranjo S, Łapiński M, Chong V, Mathavan S, Peers B, Sauka-Spengler T, Vingron M, Carninci P, Ohler U, Lacadie SA, Burgess SM, Winata C, van Eeden F, Vaquerizas JM, Gómez-Skarmeta JL, Onichtchouk D, Brown BJ, Bogdanovic O, van Nimwegen E, Westerfield M, Wardle FC, Daub CO, Lenhard B, and Müller F

Subjects
Animals, Chromatin genetics, Humans, Mice, Molecular Sequence Annotation, Organogenesis genetics, Databases, Genetic, Gene Expression Regulation, Developmental, Genome genetics, Genomics, Regulatory Sequences, Nucleic Acid genetics, Zebrafish embryology, Zebrafish genetics, Zebrafish Proteins genetics
Abstract

Zebrafish, a popular organism for studying embryonic development and for modeling human diseases, has so far lacked a systematic functional annotation program akin to those in other animal models. To address this, we formed the international DANIO-CODE consortium and created a central repository to store and process zebrafish developmental functional genomic data. Our data coordination center ( https://danio-code.zfin.org ) combines a total of 1,802 sets of unpublished and re-analyzed published genomic data, which we used to improve existing annotations and show its utility in experimental design. We identified over 140,000 cis-regulatory elements throughout development, including classes with distinct features dependent on their activity in time and space. We delineated the distinct distance topology and chromatin features between regulatory elements active during zygotic genome activation and those active during organogenesis. Finally, we matched regulatory elements and epigenomic landscapes between zebrafish and mouse and predicted functional relationships between them beyond sequence similarity, thus extending the utility of zebrafish developmental genomics to mammals., (© 2022. Crown.)

Published
2022
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2. The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line.

Author

Suzuki H, Forrest AR, van Nimwegen E, Daub CO, Balwierz PJ, Irvine KM, Lassmann T, Ravasi T, Hasegawa Y, de Hoon MJ, Katayama S, Schroder K, Carninci P, Tomaru Y, Kanamori-Katayama M, Kubosaki A, Akalin A, Ando Y, Arner E, Asada M, Asahara H, Bailey T, Bajic VB, Bauer D, Beckhouse AG, Bertin N, Björkegren J, Brombacher F, Bulger E, Chalk AM, Chiba J, Cloonan N, Dawe A, Dostie J, Engström PG, Essack M, Faulkner GJ, Fink JL, Fredman D, Fujimori K, Furuno M, Gojobori T, Gough J, Grimmond SM, Gustafsson M, Hashimoto M, Hashimoto T, Hatakeyama M, Heinzel S, Hide W, Hofmann O, Hörnquist M, Huminiecki L, Ikeo K, Imamoto N, Inoue S, Inoue Y, Ishihara R, Iwayanagi T, Jacobsen A, Kaur M, Kawaji H, Kerr MC, Kimura R, Kimura S, Kimura Y, Kitano H, Koga H, Kojima T, Kondo S, Konno T, Krogh A, Kruger A, Kumar A, Lenhard B, Lennartsson A, Lindow M, Lizio M, Macpherson C, Maeda N, Maher CA, Maqungo M, Mar J, Matigian NA, Matsuda H, Mattick JS, Meier S, Miyamoto S, Miyamoto-Sato E, Nakabayashi K, Nakachi Y, Nakano M, Nygaard S, Okayama T, Okazaki Y, Okuda-Yabukami H, Orlando V, Otomo J, Pachkov M, Petrovsky N, Plessy C, Quackenbush J, Radovanovic A, Rehli M, Saito R, Sandelin A, Schmeier S, Schönbach C, Schwartz AS, Semple CA, Sera M, Severin J, Shirahige K, Simons C, St Laurent G, Suzuki M, Suzuki T, Sweet MJ, Taft RJ, Takeda S, Takenaka Y, Tan K, Taylor MS, Teasdale RD, Tegnér J, Teichmann S, Valen E, Wahlestedt C, Waki K, Waterhouse A, Wells CA, Winther O, Wu L, Yamaguchi K, Yanagawa H, Yasuda J, Zavolan M, Hume DA, Arakawa T, Fukuda S, Imamura K, Kai C, Kaiho A, Kawashima T, Kawazu C, Kitazume Y, Kojima M, Miura H, Murakami K, Murata M, Ninomiya N, Nishiyori H, Noma S, Ogawa C, Sano T, Simon C, Tagami M, Takahashi Y, Kawai J, and Hayashizaki Y

Subjects
Base Sequence, Cell Line, Gene Expression Profiling, Humans, Leukemia, Myeloid genetics, Leukemia, Myeloid metabolism, Models, Genetic, Molecular Sequence Data, Oligonucleotide Array Sequence Analysis, Promoter Regions, Genetic, RNA, Small Interfering metabolism, Cell Differentiation genetics, Cell Proliferation, Gene Regulatory Networks, Transcription, Genetic
Abstract

Using deep sequencing (deepCAGE), the FANTOM4 study measured the genome-wide dynamics of transcription-start-site usage in the human monocytic cell line THP-1 throughout a time course of growth arrest and differentiation. Modeling the expression dynamics in terms of predicted cis-regulatory sites, we identified the key transcription regulators, their time-dependent activities and target genes. Systematic siRNA knockdown of 52 transcription factors confirmed the roles of individual factors in the regulatory network. Our results indicate that cellular states are constrained by complex networks involving both positive and negative regulatory interactions among substantial numbers of transcription factors and that no single transcription factor is both necessary and sufficient to drive the differentiation process.

Published
2009
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