RNA-Seq of single cells from the mouse lumbar dorsal root ganglion
Ontology highlight
ABSTRACT: In order to establish a consensus catalog of dorsal rott ganglion cell types, we used comprehensive transcriptome analysis of single cells for unsupervised identification and molecular classification of sensory neurons independent of any a priori knowledge of sensory subtypes. RNA-Seq was performed on 799 dissociated single cells dissected from the mouse lumbar dorsal root ganglion distributed over a total of nine 96-well plates
Project description:Cortical interneurons originating from the medial ganglionic eminence (MGE) are among the most diverse cells within the CNS. Different pools of proliferating progenitor cells are thought to exist in the ventricular zone of the MGE, but whether the underlying subventricular and mantle regions of the MGE are spatially patterned has not yet been addressed. Here, we combined laser-capture microdissection and multiplex RNA-sequencing to map the transcriptome of MGE cells at a spatial resolution of 50 M-BM-5m. Distinct groups of progenitor cells showing different stages of interneuron maturation were identified and topographically mapped based on their genome-wide transcriptional pattern. One 50 M-BM-5m coronal section from the MGE was taken from each of two wildtype and one GFRa1 mutant E12.5 C57bl6/J mouse. Each section was laser microdissected into approximately 100 cubes, covering the whole MGE, and each cube was further processed for RNA-seq analysis.
Project description:Purpose: We applied cDNA molecule counting using unique molecular identifiers combined with high-throughput sequencing to study the transcriptome of individual mouse embryonic stem cells, with spike-in controls to monitor technical performance. We further examined transcriptional noise in the embryonic stem cells. One 96-well plate of single-stranded cDNA libraries generated from 96 single R1 mouse embryonic stem cells sequenced on two lanes, and one 96-well plate of the same libraries further amplified by 9 PCR cycles sequenced on one lane.
Project description:RNA sequencing was performed on sorted populations of Lgr6-positive and Lgr6-negative keratinocytes from the interfollicular epidermis and the hair follicle/sebaceous gland, in order to determine the compartment-specific expression signatures of Lgr6+ progenitor cells.
Project description:In this study, we used Global Run-On sequencing (GRO-seq), a method that assays the genome-wide location and orientation of all active RNA polymerases. We generated a global profile of active transcription at ERM-NM-1 binding sites in MCF-7 human breast cancer cells in response to short time course of E2 treatment. This method enabled us to detect active transcription at enhancers and define a class of primary transcripts transcribed uni- or bidirectionally from the ERM-NM-1 binding sites. The raw data used in this study is from GSE27463 but sequenced to a greater depth. Using GRO-seq over a time course (0, 10, 40 min) of estrogen signaling in ER-alpha positive MCF-7 human breast cancer cells.
Project description:We used Global Run-on and Sequencing (GRO-seq) to measure the rate of transcription elongation by RNA polymerase II (Pol II) following gene activation. We observed that Pol II elongation rates can vary as much as 4-fold at different genomic loci and in response to two distinct cellular signaling pathways (i.e., estrogen and TNFM-NM-1). Elongation rates are slowest near the promoter and increase during the first ~15 kb transcribed into the gene body. Gene body elongation rates correlate with the density of Pol II, consequently resulting in systematically higher rates of transcript production at genes with higher Pol II density. By monitoring Pol II dynamics following short inductions, we found that E2 stimulates gene expression by increasing Pol II initiation, whereas TNFM-NM-1 stimulates the release of Pol II from promoter proximal pause sites. Collectively, our results identify previously uncharacterized variation in the rate of Pol II elongation and highlight elongation as an important, variable, and regulated rate limiting step in the transcription cycle. Using GRO-seq over a time course (0, 10, 25, and 40 min) of estrogen signaling in ER-alpha positive MCF-7 human breast cancer cells.
Project description:Inflammation is associated with many cardiovascular pathologies, but the underlying mechanisms remain unclear. To explore this in more detail, we characterized the transcriptome of an immortalized adult human ventricular cardiomyocyte cell line (AC16) in response to tumor necrosis factor (TNFa). Using a combination of genomic approaches, including global nuclear run-on sequencing (GRO-seq) and chromatin immunoprecipitation coupled with sequencing (ChIP-seq), we identified ~30,000 transcribed regions in AC16 cells, which includes a set of RNA polymerases I and III (Pol I and Pol III) transcribed regions revealed in the presence of M-NM-1-amanitin. The set of transcribed regions produces both protein-coding and non-coding RNAs, many of which have not been annotated previously, including enhancer RNAs originating from NF-M-NM-:B binding sites. In addition, we observed that AC16 cells rapidly and dynamically reorganize their transcriptomes in response to TNFa stimulation in an NF-M-NM-:B-dependent manner, switching from a basal state to a proinflammatory state affecting a spectrum of cardiac-associated protein-coding and non-coding genes. Moreover, we observed distinct Pol II dynamics for up- and downregulated genes, with a rapid release of Pol II into productive elongation for TNFa-stimulated genes. Our studies shed new light on the regulation of the cardiomyocyte transcriptome in response to a proinflammatory signal and help to clarify the link between inflammation and cardiomyocyte function at the transcriptional level. Using GRO-seq and ChIP-seq (p65 and RNA Pol II) over a time course of TNFM-NM-1 signaling in AC16 human cardiomyocytes.
Project description:Circular RNAs (circRNAs) in animals are an enigmatic class of RNAs with unknown function. To systematically explore circRNAs, we sequenced and computationally analyzed human, mouse and nematode RNA. We detected thousands of well-expressed, stable circRNAs, with oftentimes tissue/developmental stage specific expression. Sequence analysis suggested important regulatory functions for circRNAs. Indeed, we discovered that human circRNA CDR1as is densely bound by miRNA effector complexes and harbors 63 conserved binding sites for the ancient miRNA miR-7. Further analyses indicated that CDR1as functions to bind miR-7 in neuronal tissues. Human CDR1as expression in zebra fish impaired midbrain development similar to knocking down miR-7, suggesting that CDR1as is a miRNA antagonist with a miRNA binding capacity ten times higher than any other known transcript. Together, our data provide evidence that circRNAs form a large class of post-transcriptional regulators. Numerous circRNAs form by head-to-tail splicing of exons, indicating previously unrecognized regulatory potential of coding sequences. PARCLIP was performed as in Hafner et. al Cell 2010 with HEK293 cell lines stably expressing HIS/FLAG/HA-tagged AGO1 or AGO2. We used 4-thiouridine (4SU) to enhance the crosslink and generated cDNA libraries.
Project description:Protein-RNA interactions are integral components of nearly every aspect of biology including regulation of gene expression, assembly of cellular architectures, and pathogenesis of human diseases. However, studies in the past few decades have only uncovered a small fraction of the vast landscape of the protein-RNA interactome in any organism, and even less is known about the dynamics of protein-RNA interactions under changing developmental and environmental conditions. Here, we describe the gPAR-CLIP (global photoactivatable-ribonucleoside-enhanced crosslinking and immunopurification) approach for capturing regions of the transcriptome bound by RNA-binding proteins (RBPs) in budding yeast. We report over 13,000 RBP crosslinking sites in untranslated regions (UTR) covering 72% of protein-coding transcripts encoded in the genome, confirming 3M-bM-^@M-^Y UTRs as major sites for RBP interaction. Comparative genomic analyses reveal that RBP crosslinking sites are highly conserved, and RNA folding predictions indicate that secondary structural elements are constrained by protein binding and may serve as generalizable modes of RNA recognition. Finally, 38% of 3M-bM-^@M-^Y UTR crosslinking sites show changes in RBP occupancy upon glucose or nitrogen deprivation, with major impacts on metabolic pathways as well as mitochondrial and ribosomal gene expression. Our study offers an unprecedented view of the pervasiveness and dynamics of protein-RNA interactions in vivo. Duplicate gPAR-CLIP and mRNA-seq libraries were sequenced from yeast strains for each of three conditions: log-phase growth, growth after 2 hour glucose starvation, and growth after 2 hour nitrogen starvation. Additional duplicate mRNA-seq libraries were sequenced from yeast strains grown in the absence of 4-thiouracil. gPAR-CLIP libraries were used to determine regions of mRNA bound by proteins. mRNA-seq libraries served as controls for mRNA abundance. A Puf3p PAR-CLIP library was sequenced to determine how well gPAR-CLIP captured the binding signatures of a single RNA-binding protein.
Project description:Background: Recent studies have demonstrated that antisense transcription is pervasive in budding yeasts and is conserved between Saccharomyces cerevisiae and S. paradoxus. While studies have examined antisense transcripts of S. cerevisiae for inverse transcription in stationary phase and stress conditions, there is a lack of comprehensive analysis of the conditional specific evolutionary characteristics of antisense transcription between yeasts. Here we attempt to decipher the evolutionary relationship of antisense transcription of S. cerevisiae and S. paradoxus cultured in mid log, early stationary phase, and heat shock conditions. Results: Massively parallel sequencing of sequence strand-specific cDNA library was performed from RNA isolated from S. cerevisiae and S. paradoxus cells at mid log, stationary phase and heat shock conditions. We performed this analysis using a stringent set of sense ORF transcripts and non-coding antisense transcripts that were expressed in all the three conditions, as well as in both species. We found the divergence of the condition specific anti-sense transcription levels is higher than that in condition specific sense transcription levels, suggesting that antisense transcription played a potential role in adapting to different conditions. Furthermore, 43% of sense-antisense pairs demonstrated inverse transcription in either stationary phase or heat shock conditions relative to the mid log conditions. In addition, a large part of sense-antisense pairs (67%), which demonstrated inverse transcription, were highly conserved between the two species. Our results were also concordant with known functional analyses from previous studies and with the evidence from mechanistic experiments of role of individual genes. Conclusions: This study provides a comprehensive picture of the role of antisense transcription mediating sense transcription in different conditions across yeast species. We can conclude from our findings that antisense regulation could act like an on-off switch on sense regulation in different conditions. Transcriptomes of two yeast species under mid-log phase, early stationary phase, and after heat shock treatment were generated by Illumina HiSeq 2000 paired-end sequencing
Project description:This SuperSeries is composed of the following subset Series: GSE38674: Genomic DNA in Normal and Cancerous Prostate Cells GSE38676: Expression Analysis of Normal and Cancerous Prostate Cells GSE38677: Mapping of Transcription Start Sites of Normal and Cancerous Prostate Cells GSE38682: H3K4me3 Marks in Normal and Cancerous Prostate Cells GSE38683: H3K27me3 Marks in Normal and Cancerous Prostate Cells GSE38684: Chromatin Looping of Normal and Cancerous Prostate Cells Refer to individual Series