This SuperSeries is composed of the SubSeries listed below.
Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP.
Cell line
View SamplesTo assess whether the transcripts identified by PAR-CLIP are regulated by the RNA-binding protein (RBP) Quaking (QKI), we analyzed the mRNA levels of mock-transfected and QKI-specific siRNA-transfected cells with microarrays. Transcripts crosslinked to QKI were significantly upregulated upon siRNA transfection, indicating that QKI negatively regulates bound mRNAs (Figure 3H of PMID 20371350), consistent with previous reports of QKI being a repressor.
Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP.
Cell line
View SamplesTo test the influence of IGF2BPs on the stability of their interacting mRNAs, as reported previously for some targets (Yisraeli, 2005), we simultaneously depleted all three IGF2BP family members using siRNAs and compared the cellular RNA from knockdown and mock-transfected cells on microarrays. The levels of transcripts identified by PAR-CLIP decreased in IGF2BP-depleted cells, indicating that IGF2BP proteins stabilize their target mRNAs. Moreover, transcripts that yielded clusters with the highest T to C mutation frequency were most destabilized (Figure 4G of PMID 20371350), indicating that the ranking criterion that we derived based on the analysis of PUM2 and QKI data generalizes to other RNA-binding proteins (RBPs).
Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP.
Cell line
View SamplesTo obtain evidence that Argonaute (AGO) crosslink-centered regions (CCRs) indeed contain functional miRNA-binding sites, we blocked 25 of the most abundant miRNAs in HEK 293 cells (Figure 5C of PMID 20371350) by transfection of a cocktail of 2'-O-methyl-modified antisense oligoribonucleotides and monitored the changes in mRNA stability by microarrays (Figure 7A of PMID 20371350). Consistent with previous studies of individual miRNAs (Grimson et al., 2007), the magnitude of the destabilization effects of transcripts containing at least one CCR depended on the length of the seed-complementary region and dropped from 9-mer to 8-mer to 7-mer to 6-mer matches (Figure 7B of PMID 20371350). We did not find evidence for significant destabilization of transcripts that only contained imperfectly paired seed regions.
Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP.
Cell line
View SamplesThe goal of this study is to uncover the changes in the transcriptome of sensory neurons of the liver kinase B1 (LKB1) knockout
Regulation of axonal morphogenesis by the mitochondrial protein Efhd1.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast.
Specimen part, Subject
View SamplesIntroduction: A major challenge in the interpretation of genomic profiling data generated from breast cancer samples is the identification of driver genes as distinct from bystander genes which do not impact tumorigenesis. One way to assess the relative importance of alterations in the transcriptome profile is to combine complementary analyses that assess changes in the copy number alterations (CNAs). This integrated analysis permits the identification of genes with altered expression that map within specific chromosomal regions that demonstrate copy number alterations, providing a mechanistic approach to identify the 'driver genes.
Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast.
Specimen part, Subject
View SamplesTranscriptome analysis of LDBM cells stimulated with IL-5
IL-5 triggers a cooperative cytokine network that promotes eosinophil precursor maturation.
Specimen part
View SamplesPCL family protein Phf19/Pcl3 is one of the accessory components of the PRC2 core complex, and Phf19 is highly expressed in murine ES cells and an ES cell-like embryonic carcinoma cell line, F9 cells.
An H3K36 methylation-engaging Tudor motif of polycomb-like proteins mediates PRC2 complex targeting.
Cell line
View SamplesT cell development comprises a stepwise process of commitment from a multipotent precursor. To define molecular mechanisms controlling this progression, we probed five stages spanning the commitment process using deep sequencing RNA-seq and ChIP-seq methods to track genome-wide shifts in transcription, cohorts of active transcription factor genes, histone modifications at diverse classes of cis-regulatory elements, and binding patterns of GATA-3 and PU.1, transcription factors with complementary roles in T-cell development. The results locate potential promoter-distal cis-elements in play and reveal both activation sites and diverse mechanisms of repression that silence genes used in alternative lineages. Histone marking is dynamic and reversible, and while permissive marks anticipate, repressive marks often lag behind changes in transcription. In vivo binding of PU.1 and GATA-3 relative to epigenetic marking reveals distinctive, factor-specific rules for recruitment of these crucial transcription factors to different subsets of their potential sites, dependent on dose and developmental context. Overall design: Genome-wide expression profiles, global distributions of three different histone modifications, and global occupancies of two transcription factors were examined in five developmentally related immature T populations. High throughput sequencing generated on average 9-30 million of mappable reads (single-read) for each ChIP-seq sample, and 10-15 million (single-read) for RNA-seq. Independent biological replicates were analyzed for individual populations. Terminology: FLDN1_RNA-seq_sample1 and FLDN1_RNA-seq_sample2 are independent biological replicates for the same cell type.
Dynamic transformations of genome-wide epigenetic marking and transcriptional control establish T cell identity.
Specimen part, Cell line, Subject
View Samples