GEO DataSets

(Submitter supplied) Single-cell transcriptomics (scRNA-seq) has revolutionized our understanding of cell types and states in various contexts, such as development and disease. Most methodology relies on poly(A) enrichment to selectively capture protein-coding polyadenylated transcripts, intending to exclude ribosomal transcripts that constitute >80% of the transcriptome. However, it is common for ribosomal transcripts to sneak into the library, which can add significant background by flooding libraries with irrelevant sequences. more...

Organism:

Schmidtea mediterranea

Type:

Expression profiling by high throughput sequencing

Platform:

GPL33372

9 Samples

Download data: MTX, TSV

(Submitter supplied) Comparison of RiboPools and RiboZero rRNA depletion strategies in total RNA from Salmonella Typhimurium, strain SL1344

Organism:

Salmonella enterica subsp. enterica serovar Typhimurium

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21220

4 Samples

Download data: CSV

(Submitter supplied) A decade since its invention, single-cell RNA sequencing (scRNA-seq) has become a mainstay technology for profiling transcriptional heterogeneity in individual cells. Yet, most existing scRNA-seq methods capture only polyadenylated mRNA to avoid expending resources on profiling the types of transcripts that are usually not-of-interest, such as ribosomal RNA (rRNA). Hence, protocols that enable analysis of the whole transcriptome remain scarce. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

12 Samples

Download data: CSV

(Submitter supplied) A major challenge for RNA-seq analysis of gene expression is to achieve sufficient coverage of informative non-ribosomal transcripts. In eukaryotic samples, this is typically achieved by selective oligo(dT)-priming of messenger RNAs to exclude ribosomal RNA (rRNA) during cDNA synthesis. However, this strategy is not compatible with prokaryotes in which functional transcripts are generally not polyadenylated. more...

Organism:

Salmonella enterica subsp. enterica serovar Typhimurium str. SL1344; Bacteroides thetaiotaomicron VPI-5482

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL28278 GPL20056

40 Samples

Download data: CSV, WIG

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Salmonella enterica subsp. enterica serovar Typhimurium

Type:

Expression profiling by high throughput sequencing

Platform:

GPL30637

396 Samples

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(Submitter supplied) In this work, we have improved our previously published bacterial single-cell RNA-sequencing protocol (MATQ-seq), providing enhancements that achieve a higher cell throughput while also including integration of automation. We selected a more efficient reverse transcriptase which led to a lower drop-out rate and higher workflow robustness, and we also successfully implemented a Cas9-based ribosomal RNA depletion protocol into the MATQ-seq workflow. more...

Organism:

Salmonella enterica subsp. enterica serovar Typhimurium

Type:

Expression profiling by high throughput sequencing

Platform:

GPL30637

384 Samples

Download data: TSV

(Submitter supplied) In this work, we have improved our previously published bacterial single-cell RNA-sequencing protocol (MATQ-seq), providing enhancements that achieve a higher cell throughput while also including integration of automation. We selected a more efficient reverse transcriptase which led to a lower drop-out rate and higher workflow robustness, and we also successfully implemented a Cas9-based ribosomal RNA depletion protocol into the MATQ-seq workflow. more...

Organism:

Salmonella enterica subsp. enterica serovar Typhimurium

Type:

Expression profiling by high throughput sequencing

Platform:

GPL30637

12 Samples

Download data: TSV

(Submitter supplied) Methods: RNA-sequencing was performed on matched samples obtained across several different gene expression measurement methods including: (a) fresh-frozen (FF) RNA samples by mRNA-seq, Ribo-zero and DSN and (b) FFPE samples by Ribo-zero and DSN. We also assayed the matched samples with Agilent microarray. RNA-seq data was compared on the rRNA-removal efficiency, genome profile, library complexity, coverage uniformity and quantitative cosinstency across protocols and with microarray data. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Expression profiling by array

Platforms:

GPL8269 GPL11154

59 Samples

Download data: TXT

(Submitter supplied) Single-cell RNA sequencing (scRNA-seq) methods generate sparse gene expression profiles for thousands of single cells in a single experiment. The information in these profiles is sufficient to classify cell types by distinct expression patterns but the high complexity of scRNA-seq libraries prevents full characterization of transcriptomes from individual cells. To generate more focused gene expression information from scRNA-seq libraries, we developed a strategy to physically recover the DNA molecules comprising transcriptome subsets, enabling deeper interrogation of the isolated molecules by another round of DNA sequencing. more...

Organism:

Homo sapiens; Mus musculus

Type:

Expression profiling by high throughput sequencing

5 related Platforms

13 Samples

Download data: JSON, TSV, TXT

(Submitter supplied) The widespread application of single-cell genomics technologies has accelerated our understanding of the breadth and depth of heterogeneity of cell states across diverse contexts. As single-cell RNA sequencing (scRNA-seq) has been the most popular modality used for profiling, many populations have been described primarily based on specific marker transcript profiles compared to classical cytometry approaches relying on protein expression. more...

Organism:

Homo sapiens; Mus musculus

Type:

Other; Expression profiling by high throughput sequencing

4 related Platforms

23 Samples

Download data: CSV, H5

(Submitter supplied) The study identifies cell type specific differentially expressed genes in peripheral blood mononuclear cells affected by THC infusion in two human subjects. Individual gene expression gene analysis and gene set enrichment analysis show that THC affects gene expression in the functional domains of immune response and cell proliferation. One of THC receptor genes, CNR2, is highly expressed in B cells and THC perbute CNR2 co-expressed genes in B cells. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

4 Samples

Download data: MTX, TSV

(Submitter supplied) Bulk RNA seq of FACS isolated C. elegans neurons, with pan-neuronal reference, and sorted viable cell reference samples. Collected for comparison to single cell sequencing data

Organism:

Caenorhabditis elegans

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18245

37 Samples

Download data: TXT

(Submitter supplied) Advances over the past decade have allowed for increasingly fine-grained labeling and isolation of rare cell samples for transcriptomic analysis, providing new insights into cell function and gene regulation. These samples often contain very little RNA for sequencing, and so have required new techniques to capture and amplify transcripts of interest. However, as new tools are developed, they are often optimized for mammalian samples. more...

Organism:

Caenorhabditis elegans

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18245

8 Samples

Download data: TXT

(Submitter supplied) We report how methanol fixation influences transcriptome profile in single cell RNA-seq. We generatad Smart-seq2 data from two cell lines, and both live and fixed cells from each cell line were processed and analyzed to illustrate fixaiton effect.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

346 Samples

Download data: CSV

(Submitter supplied) Spermatogenesis is a dynamic, tightly conserved process that is susceptible to environmental contaminants. Exposure to environmental contaminants such as 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) is believed to be a cause of idiopathic male infertility. To understand TCDD-induced disruption of spermatogenesis at the single cell level, we profiled adult zebrafish testes with and without early-life exposure to TCDD. more...

Organism:

Danio rerio

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24995

16 Samples

Download data: TAR, XLSX

(Submitter supplied) A key limitation in single cell genomics is generating a high-quality single cell suspension that contains rare or difficult to dissociate cell types and is free of RNA degradation or transcriptional stress responses. Samples with unpredictable availability or that must be collected at several timepoints present additional challenges. Using adult mouse kidney, we compared single-cell RNA sequencing (scRNA-seq) data generated using DropSeq with snRNA-seq data generated from nuclei using sNuc-DropSeq, DroNc-seq and 10X Chromium. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

5 Samples

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens; Mus musculus

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL20301 GPL21103

30 Samples

Download data

(Submitter supplied) Direct cDNA preamplification protocols developed for single-cell RNA-seq (scRNA-seq) have enabled transcriptome profiling of rare cells without having to pool multiple samples or to perform RNA extraction. We term this approach limiting-cell RNA-seq (lcRNA-seq). Unlike scRNA-seq, which focuses on ‘cell-atlasing’, lcRNA-seq focuses on identifying differentially expressed genes (DEGs) between experimental groups. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21103

12 Samples

Download data: TSV

(Submitter supplied) Direct cDNA preamplification protocols developed for single-cell RNA-seq (scRNA-seq) have enabled transcriptome profiling of rare cells without having to pool multiple samples or to perform RNA extraction. We term this approach limiting-cell RNA-seq (lcRNA-seq). Unlike scRNA-seq, which focuses on ‘cell-atlasing’, lcRNA-seq focuses on identifying differentially expressed genes (DEGs) between experimental groups. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

18 Samples

Download data: TXT

(Submitter supplied) Background: RNA-seq is a powerful technique for identifying and quantifying transcription and splicing events, both known and novel. However, given its recent development and the proliferation of library construction methods, understanding the bias it introduces is incomplete but critical to realizing its value. Results: We present a method, in vitro transcription sequencing (IVT-seq), for identifying and assessing the technical biases in RNA-seq library generation and sequencing at scale. more...

Organism:

Mus musculus; mixed libraries; Homo sapiens

Type:

Expression profiling by high throughput sequencing

5 related Platforms

13 Samples

Download data: BW, TXT