GEO DataSets

(Submitter supplied) RNA-seq is the standard method for profiling gene expression in many biological systems. Due to the wide dynamic range and complex nature of the transcriptome, RNA-seq provides an incomplete characterisation, especially of lowly expressed genes and transcripts. Targeted RNA sequencing (RNA CaptureSeq) focuses sequencing on genes of interest, providing exquisite sensitivity for transcript detection and quantification. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

214 Samples

Download data: TXT

(Submitter supplied) In this work we aim to improve the understanding of the mouse transcriptome complexity, investigate the expressed fraction of the genome and ameliorate the available mouse annotations. We utilized CatureSeq, a recently described strategy meant to enhance the sequencing coverage of low abundant genes. In our experimental design we generated oligonucleotide probes to select annotated and putative long-noncoding RNA and splice junctions. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

16 Samples

Download data: GTF, TXT

(Submitter supplied) Background: Whole transcriptome sequencing (RNA-seq) represents a powerful approach for whole transcriptome gene expression analysis. However, RNA-seq carries a few limitations, e.g., the requirement of a significant amount of input RNA and complications led by non-specific mapping of short reads. The Ion AmpliSeqTM Transcriptome Human Gene Expression Kit (AmpliSeq) was recently introduced by Life Technologies as a whole-transcriptome, targeted gene quantification kit to overcome these limitations of RNA-seq.To assess the performance of this new methodology, we performed a comprehensive comparison of AmpliSeq with RNA-seq using two well-established next-generation sequencing platforms (Illumina HiSeq and Ion Torrent Proton). more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17303

6 Samples

Download data: TXT

(Submitter supplied) We developed miniBac-seq, a strand-specific method for high-quality bacterial RNA-seq library construction from sub-nanogram of total RNA, equivalent to a few thousand bacterial cells; we also tested its potent to be adopted as a single cell RNA-seq method. Here we provide the supporting data to the paper introducing this technology.

Organism:

Escherichia coli BW25113

Type:

Expression profiling by high throughput sequencing

Platform:

GPL27123

44 Samples

Download data: TXT

(Submitter supplied) We developed miniBac-seq, a strand-specific method for high-quality bacterial RNA-seq library construction from sub-nanogram of total RNA, equivalent to a few thousand bacterial cells; we also tested its potent to be adopted as a single cell RNA-seq method. Here we provide the supporting data to the paper introducing this technology.

Organism:

Escherichia coli BW25113

Type:

Expression profiling by high throughput sequencing

Platform:

GPL27123

40 Samples

Download data: TXT

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

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

1756 Samples

Download data

(Submitter supplied) Single cell RNA sequencing (scRNA-seq) is a widely used method for identifying cell types and trajectories in biologically heterogeneous samples, but is limited in its detection and quantification of lowly expressed genes. This results in missing important biological signals, such as the expression of key transcription factors (TFs) driving cellular differentiation. We show that targeted sequencing of ~1000 TFs (scCapture-seq) in iPSC-derived neuronal cultures greatly improves the biological information garnered from scRNA-seq. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

252 Samples

Download data: CSV

(Submitter supplied) Single cell RNA sequencing (scRNA-seq) is a widely used method for identifying cell types and trajectories in biologically heterogeneous samples, but is limited in its detection and quantification of lowly expressed genes. This results in missing important biological signals, such as the expression of key transcription factors (TFs) driving cellular differentiation. We show that targeted sequencing of ~1000 TFs (scCapture-seq) in iPSC-derived neuronal cultures greatly improves the biological information garnered from scRNA-seq. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

752 Samples

Download data: CSV

(Submitter supplied) Single cell RNA sequencing (scRNA-seq) is a widely used method for identifying cell types and trajectories in biologically heterogeneous samples, but is limited in its detection and quantification of lowly expressed genes. This results in missing important biological signals, such as the expression of key transcription factors (TFs) driving cellular differentiation. We show that targeted sequencing of ~1000 TFs (scCapture-seq) in iPSC-derived neuronal cultures greatly improves the biological information garnered from scRNA-seq. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

752 Samples

Download data: CSV

(Submitter supplied) Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived retinal transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis. Methods: Retinal mRNA profiles of 21-day-old wild-type (WT) and neural retina leucine zipper knockout (Nrl−/−) mice were generated by deep sequencing, in triplicate, using Illumina GAIIx. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11002

6 Samples

Download data: BAM, TXT, XLS

(Submitter supplied) Accurate mapping of transcription start sites (TSSs) is key for understanding transcriptional regulation. However, current protocols for genome-wide TSS profiling are laborious and/or expensive. We present Survey of TRanscription Initiation at Promoter Elements with high-throughput sequencing (STRIPE-seq), a simple, rapid, and cost-effective protocol for sequencing capped RNA 5’-ends from as little as 50 ng total RNA. more...

Organism:

Homo sapiens; Saccharomyces cerevisiae

Type:

Expression profiling by high throughput sequencing; Other

Platforms:

GPL18573 GPL19756

24 Samples

Download data: BED, BEDGRAPH, BIGWIG, PDF

(Submitter supplied) Long-read RNA sequencing (RNA-seq) is a powerful technology for transcriptome analysis, but the relatively low throughput of current long-read sequencing platforms limits transcript coverage. We present TEQUILA-seq, a versatile, easy-to-implement, and low-cost method for targeted long-read RNA-seq. TEQUILA-seq can be broadly used for targeted sequencing of full-length transcripts in diverse biomedical research settings.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Other

Platforms:

GPL24676 GPL24106

123 Samples

Download data: GTF, TXT

(Submitter supplied) We describe a 3'-end capture sequencing method allowing a maximization of read allocation towards genes of interest using biotynilated probes.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

720 Samples

Download data: TXT

(Submitter supplied) Here we compare the performance of these three approaches (inDrop, Drop-seq and 10x) using the same kind of sample with a unified data processing pipeline. We generated 2-3 replicates for each method using lymphoblastoid cell line GM12891. The average sequencing depth was around 50-60k reads per cell barcode. We also developed a versatile and rapid data processing workflow and applied it for all datasets. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

7 Samples

Download data: TXT

(Submitter supplied) Deeper understanding of T cell biology is crucial for the development of new therapeutics. Human naïve T cells have low RNA content and their numbers can be limiting; therefore we set out to determine the parameters for robust ultra-low input RNA sequencing. We performed transcriptome profiling at different cell inputs and compared three protocols: Switching Mechanism at 5’ End of RNA Template technology (SMART) with two different library preparation methods (Nextera (SMART_Nxt) and Clontech (SMART_CC)), and AmpliSeq technology. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL18573 GPL11154 GPL17303

48 Samples

Download data: TXT

(Submitter supplied) As part of cross-platform comparisons of microarray and RNA-seq, the current experiment using the Illumina NextSeq 500 and MGI DNBSEQ-G400RS aimed to quantify gene-level expression in subjects administered recombinant human erythropoietin over a 10-week protocol for the identification of gene signatures of blood doping. These results were compared to results obtained from other gene expression quantification platforms using the same experimental cohort, including the Illumina HumanHT-12v4 Expression BeadChips (archived in ArrayExpress; E-MTAB-2874) and Affymetrix Human Transcriptome Array 2.0 (archived in ArrayExpress; E-MTAB-11080).

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL18573 GPL28038

98 Samples

Download data: TXT

(Submitter supplied) Gene expression profiling via RNA-sequencing has become standard for measuring and analyzing the gene activity in bulk and at single cell level. Increasing sample sizes and cell counts provides substantial information about transcriptional architecture of samples. In addition to quantification of expression at cellular level, RNA-seq can be used for detecting of variants, including single nucleotide variants and small insertions/deletions and also large variants such as copy number variants. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

2 Samples

Download data: MTX, TSV

(Submitter supplied) High throughput single-cell RNA sequencing (sc-RNAseq) has become a frequently used tool to assess immune cell function and heterogeneity. Recently, the combined measurement of RNA and protein expression by sequencing was developed, which is commonly known as CITE-Seq. Acquisition of protein expression data along with transcriptome data resolves some of the limitations inherent to only assessing transcript, but also nearly doubles the sequencing read depth required per single cell. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Other

Platforms:

GPL24676 GPL16791

6 Samples

Download data: CSV, FASTA, MTX, TSV

(Submitter supplied) Transcriptome analysis via RNA sequencing (RNA-seq) has become a standard technique employed across a variety of biological fields of study. This rapid adoption of the RNA-seq approach has been mediated, in part, by the development of various commercial RNA-seq library preparation kits compatible with common next-generation sequencing (NGS) platforms. Generally, the essential steps of library preparation such as rRNA depletion and first-strand cDNA synthesis are tailored to a certain group of organisms (e.g. more...

Organism:

Clostridium autoethanogenum

Type:

Expression profiling by high throughput sequencing

Platform:

GPL32172

12 Samples

Download data: TXT

(Submitter supplied) Acetogens are promising cell factories for producing fuels and chemicals from waste feedstocks via gas fermentation, but quantitative characterization of carbon, energy, and redox metabolism is required to guide their rational metabolic engineering. Here, we explore acetogen gas fermentation using physiological, metabolomics, and transcriptomics data for Clostridium autoethanogenum steady-state chemostat cultures grown on syngas at various gas-liquid mass transfer rates. more...

Organism:

Clostridium autoethanogenum

Type:

Expression profiling by high throughput sequencing

Platform:

GPL22733

12 Samples

Download data: TXT