6 results on '"Lam KC"'
Search Results
2. High-Resolution Phenotypic Landscape of the RNA Polymerase II Trigger Loop.
- Author
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Qiu C, Erinne OC, Dave JM, Cui P, Jin H, Muthukrishnan N, Tang LK, Babu SG, Lam KC, Vandeventer PJ, Strohner R, Van den Brulle J, Sze SH, and Kaplan CD
- Subjects
- Alleles, Catalysis, Catalytic Domain genetics, Crystallography, X-Ray, Mutant Proteins chemistry, Mutation, Protein Folding, Protein Structure, Secondary, Protein Transport genetics, RNA Polymerase II chemistry, Saccharomyces cerevisiae enzymology, Substrate Specificity, Mutant Proteins genetics, RNA Polymerase II genetics, Saccharomyces cerevisiae genetics, Transcription, Genetic
- Abstract
The active sites of multisubunit RNA polymerases have a "trigger loop" (TL) that multitasks in substrate selection, catalysis, and translocation. To dissect the Saccharomyces cerevisiae RNA polymerase II TL at individual-residue resolution, we quantitatively phenotyped nearly all TL single variants en masse. Three mutant classes, revealed by phenotypes linked to transcription defects or various stresses, have distinct distributions among TL residues. We find that mutations disrupting an intra-TL hydrophobic pocket, proposed to provide a mechanism for substrate-triggered TL folding through destabilization of a catalytically inactive TL state, confer phenotypes consistent with pocket disruption and increased catalysis. Furthermore, allele-specific genetic interactions among TL and TL-proximal domain residues support the contribution of the funnel and bridge helices (BH) to TL dynamics. Our structural genetics approach incorporates structural and phenotypic data for high-resolution dissection of transcription mechanisms and their evolution, and is readily applicable to other essential yeast proteins., Competing Interests: Authors JVdB and RS are employed by MorphoSys AG, which currently holds rights to the Slonomics DNA synthesis technology utilized in the manuscript.
- Published
- 2016
- Full Text
- View/download PDF
3. The NSL complex regulates housekeeping genes in Drosophila.
- Author
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Lam KC, Mühlpfordt F, Vaquerizas JM, Raja SJ, Holz H, Luscombe NM, Manke T, and Akhtar A
- Subjects
- Acetylation, Animals, Binding Sites, Drosophila melanogaster metabolism, Gene Expression Regulation, Genome, Insect, Histone-Lysine N-Methyltransferase metabolism, Promoter Regions, Genetic, Protein Binding, Transcription Factor TFIIB genetics, Transcription Factor TFIIB metabolism, Vesicular Transport Proteins, Drosophila Proteins genetics, Drosophila Proteins metabolism, Drosophila melanogaster genetics, Histone-Lysine N-Methyltransferase genetics, Nuclear Proteins genetics, Nuclear Proteins metabolism, RNA Polymerase II genetics, RNA Polymerase II metabolism, Transcription Factors genetics, Transcription Factors metabolism
- Abstract
MOF is the major histone H4 lysine 16-specific (H4K16) acetyltransferase in mammals and Drosophila. In flies, it is involved in the regulation of X-chromosomal and autosomal genes as part of the MSL and the NSL complexes, respectively. While the function of the MSL complex as a dosage compensation regulator is fairly well understood, the role of the NSL complex in gene regulation is still poorly characterized. Here we report a comprehensive ChIP-seq analysis of four NSL complex members (NSL1, NSL3, MBD-R2, and MCRS2) throughout the Drosophila melanogaster genome. Strikingly, the majority (85.5%) of NSL-bound genes are constitutively expressed across different cell types. We find that an increased abundance of the histone modifications H4K16ac, H3K4me2, H3K4me3, and H3K9ac in gene promoter regions is characteristic of NSL-targeted genes. Furthermore, we show that these genes have a well-defined nucleosome free region and broad transcription initiation patterns. Finally, by performing ChIP-seq analyses of RNA polymerase II (Pol II) in NSL1- and NSL3-depleted cells, we demonstrate that both NSL proteins are required for efficient recruitment of Pol II to NSL target gene promoters. The observed Pol II reduction coincides with compromised binding of TBP and TFIIB to target promoters, indicating that the NSL complex is required for optimal recruitment of the pre-initiation complex on target genes. Moreover, genes that undergo the most dramatic loss of Pol II upon NSL knockdowns tend to be enriched in DNA Replication-related Element (DRE). Taken together, our findings show that the MOF-containing NSL complex acts as a major regulator of housekeeping genes in flies by modulating initiation of Pol II transcription., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2012
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4. Global analysis of the impact of environmental perturbation on cis-regulation of gene expression.
- Author
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Grundberg E, Adoue V, Kwan T, Ge B, Duan QL, Lam KC, Koka V, Kindmark A, Weiss ST, Tantisira K, Mallmin H, Raby BA, Nilsson O, and Pastinen T
- Subjects
- Bone Morphogenetic Protein 2 pharmacology, Dexamethasone pharmacology, Dinoprostone pharmacology, Female, Gene Expression Profiling, Gene Regulatory Networks, Genetic Markers, Genotype, Humans, Male, Organ Specificity genetics, Osteoblasts drug effects, Polymorphism, Single Nucleotide genetics, Quantitative Trait Loci, Regulatory Sequences, Nucleic Acid drug effects, Environmental Exposure, Gene Expression Regulation drug effects, Osteoblasts metabolism, Regulatory Sequences, Nucleic Acid genetics
- Abstract
Genetic variants altering cis-regulation of normal gene expression (cis-eQTLs) have been extensively mapped in human cells and tissues, but the extent by which controlled, environmental perturbation influences cis-eQTLs is unclear. We carried out large-scale induction experiments using primary human bone cells derived from unrelated donors of Swedish origin treated with 18 different stimuli (7 treatments and 2 controls, each assessed at 2 time points). The treatments with the largest impact on the transcriptome, verified on two independent expression arrays, included BMP-2 (t = 2h), dexamethasone (DEX) (t = 24 h), and PGE₂ (t = 24 h). Using these treatments and control, we performed expression profiling for 18,144 RefSeq transcripts on biological replicates of the complete study cohort of 113 individuals (n(total) = 782) and combined it with genome-wide SNP-genotyping data in order to map treatment-specific cis-eQTLs (defined as SNPs located within the gene ± 250 kb). We found that 93% of cis-eQTLs at 1% FDR were observed in at least one additional treatment, and in fact, on average, only 1.4% of the cis-eQTLs were considered as treatment-specific at high confidence. The relative invariability of cis-regulation following perturbation was reiterated independently by genome-wide allelic expression tests where only a small proportion of variance could be attributed to treatment. Treatment-specific cis-regulatory effects were, however, 2- to 6-fold more abundant among differently expressed genes upon treatment. We further followed-up and validated the DEX-specific cis-regulation of the MYO6 and TNC loci and found top cis-regulatory variants located 180 kb and 250 kb upstream of the transcription start sites, respectively. Our results suggest that, as opposed to tissue-specificity of cis-eQTLs, the interactions between cellular environment and cis-variants are relatively rare (∼1.5%), but that detection of such specific interactions can be achieved by a combination of functional genomic approaches as described here., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2011
- Full Text
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5. Fine-scale variation and genetic determinants of alternative splicing across individuals.
- Author
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Coulombe-Huntington J, Lam KC, Dias C, and Majewski J
- Subjects
- Genetic Predisposition to Disease, Humans, Oligonucleotide Array Sequence Analysis, Polymerase Chain Reaction, Polymorphism, Single Nucleotide, RNA, Messenger genetics, Alternative Splicing
- Abstract
Recently, thanks to the increasing throughput of new technologies, we have begun to explore the full extent of alternative pre-mRNA splicing (AS) in the human transcriptome. This is unveiling a vast layer of complexity in isoform-level expression differences between individuals. We used previously published splicing sensitive microarray data from lymphoblastoid cell lines to conduct an in-depth analysis on splicing efficiency of known and predicted exons. By combining publicly available AS annotation with a novel algorithm designed to search for AS, we show that many real AS events can be detected within the usually unexploited, speculative majority of the array and at significance levels much below standard multiple-testing thresholds, demonstrating that the extent of cis-regulated differential splicing between individuals is potentially far greater than previously reported. Specifically, many genes show subtle but significant genetically controlled differences in splice-site usage. PCR validation shows that 42 out of 58 (72%) candidate gene regions undergo detectable AS, amounting to the largest scale validation of isoform eQTLs to date. Targeted sequencing revealed a likely causative SNP in most validated cases. In all 17 incidences where a SNP affected a splice-site region, in silico splice-site strength modeling correctly predicted the direction of the micro-array and PCR results. In 13 other cases, we identified likely causative SNPs disrupting predicted splicing enhancers. Using Fst and REHH analysis, we uncovered significant evidence that 2 putative causative SNPs have undergone recent positive selection. We verified the effect of five SNPs using in vivo minigene assays. This study shows that splicing differences between individuals, including quantitative differences in isoform ratios, are frequent in human populations and that causative SNPs can be identified using in silico predictions. Several cases affected disease-relevant genes and it is likely some of these differences are involved in phenotypic diversity and susceptibility to complex diseases., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2009
- Full Text
- View/download PDF
6. Tissue effect on genetic control of transcript isoform variation.
- Author
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Kwan T, Grundberg E, Koka V, Ge B, Lam KC, Dias C, Kindmark A, Mallmin H, Ljunggren O, Rivadeneira F, Estrada K, van Meurs JB, Uitterlinden A, Karlsson M, Ohlsson C, Mellström D, Nilsson O, Pastinen T, and Majewski J
- Subjects
- Bone Density, Cell Line, Gene Expression Regulation, Genetic Variation, Humans, Osteoblasts chemistry, Osteoblasts metabolism, Polymorphism, Single Nucleotide, Genome-Wide Association Study methods, Organ Specificity, Protein Isoforms genetics, Transcription, Genetic
- Abstract
Current genome-wide association studies (GWAS) are moving towards the use of large cohorts of primary cell lines to study a disease of interest and to assign biological relevance to the genetic signals identified. Here, we use a panel of human osteoblasts (HObs) to carry out a transcriptomic survey, similar to recent studies in lymphoblastoid cell lines (LCLs). The distinct nature of HObs and LCLs is reflected by the preferential grouping of cell type-specific genes within biologically and functionally relevant pathways unique to each tissue type. We performed cis-association analysis with SNP genotypes to identify genetic variations of transcript isoforms, and our analysis indicates that differential expression of transcript isoforms in HObs is also partly controlled by cis-regulatory genetic variants. These isoforms are regulated by genetic variants in both a tissue-specific and tissue-independent fashion, and these associations have been confirmed by RT-PCR validation. Our study suggests that multiple transcript isoforms are often present in both tissues and that genetic control may affect the relative expression of one isoform to another, rather than having an all-or-none effect. Examination of the top SNPs from a GWAS of bone mineral density show overlap with probeset associations observed in this study. The top hit corresponding to the FAM118A gene was tested for association studies in two additional clinical studies, revealing a novel transcript isoform variant. Our approach to examining transcriptome variation in multiple tissue types is useful for detecting the proportion of genetic variation common to different cell types and for the identification of cell-specific isoform variants that may be functionally relevant, an important follow-up step for GWAS., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2009
- Full Text
- View/download PDF
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