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Links from GEO DataSets

Items: 20

1.

Comprehensive Evaluation of AmpliSeq Transcriptome, a Novel Targeted Whole Transcriptome RNA Sequencing Methodology for Global Gene Expression Analysis.

(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
2.

A comparison of Illumina and Ion Torrent sequencing platforms in the context of differential gene expression

(Submitter supplied) Background: Though Illumina has largely dominated the RNA-Seq field, the simultaneous availability of Ion Torrent has left scientists wondering which platform is most effective for differential gene expression (DGE) analysis. Previous investigations of this question have typically used reference samples derived from cell lines and brain tissue, and do not involve biological variability. While these comparisons might inform studies of tissue-specific expression, marked by large-scale transcriptional differences, this is not the common use case. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL17021 GPL18635
20 Samples
Download data: TXT
Series
Accession:
GSE98562
ID:
200098562
3.

RNA-Seq atopic dermatitis transcriptome profiling provides insights into novel disease mechanisms with potential therapeutic implications

(Submitter supplied) Purpose: provide evidence that RNA-seq can add information to transcriptome profiling already discovered by other technologies for atopic dermatitis Methods: mRNA profiles of 20 atopic dermatitis were analyzed to compare lesional and non-lesional skin, then transcriptomes found by reads were compared to Microarray and RT-PCR Results:RNA-seq provided complementary genes to AD transcriptome IL-36 and TREM-1 Conclusions: Our study represents the first analysis of lesional AD tissue by RNA-seq and comparison to microarray and RT-PCR
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL10999
40 Samples
Download data: TXT
Series
Accession:
GSE65832
ID:
200065832
4.

Comparison of poly(A) and capture RNA-seq: controlled degradation in vitro

(Submitter supplied) We compare the performance of two library preparation protocols (poly(A) and exome capture) in in vitro degraded RNA samples
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
40 Samples
Download data: TXT
5.

A robust (re-)annotation approach to generate unbiased mapping references for RNA-seq-based analyses of differential expression across closely related species

(Submitter supplied) Background: RNA-seq based on short reads generated by next generation sequencing technologies has become the main approach to study differential gene expression. Until now the main applications of this technique have been to study the variation of gene expression in a whole organism, tissue or cell type under different conditions or at different developmental stages. However, RNA-seq also has a great potential to be used in evolutionary studies to investigate gene expression divergence in closely related species. more...
Organism:
Drosophila melanogaster; Drosophila simulans; Drosophila mauritiana
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL21269 GPL13304 GPL13306
12 Samples
Download data: FA, GFF, TXT
Series
Accession:
GSE76252
ID:
200076252
6.

The ABRF Next-Generation Sequencing Study (ABRF-NGS): Multi-platform and cross-methodological reproducibility of transcriptome profiling by RNA-seq.

(Submitter supplied) Next-generation sequencing (NGS) technology applications like RNA-sequencing (RNA-seq) have dramatically expanded the potential for novel genomics discoveries, but the proliferation of various platforms and protocols for RNA-seq has created a need for reference data sets to help gauge the performance characteristics of these disparate methods. Here we describe the results of the ABRF-NGS Study on RNA-seq, which leverages replicate experiments across multiple sites using two reference RNA standards tested with four protocols (polyA selected, ribo-depleted, size selected, and degraded RNA), and examined across five NGS platforms (Illumina’s HiSeqs, Life Technologies’ Personal Genome Machine and Proton, Roche 454 GS FLX, and Pacific Biosciences RS). more...
Organism:
synthetic construct; Homo sapiens
Type:
Expression profiling by high throughput sequencing
5 related Platforms
105 Samples
Download data
Series
Accession:
GSE46876
ID:
200046876
7.

Transcriptomic response to benzo[a]pyrene treatment in HepG2 cells

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Expression profiling by high throughput sequencing
Platforms:
GPL9052 GPL13695
16 Samples
Download data: CEL, TXT
Series
Accession:
GSE36244
ID:
200036244
8.

Transcriptomic response to benzo[a]pyrene treatment in HepG2 cells (Affymetrix)

(Submitter supplied) Whole-genome transcriptome measurements are pivotal for characterizing carcinogenic mechanisms of chemicals and predicting toxic classes, such as genotoxicity, from in vitro and in vivo assays. DNA microarrays have evolved as the gold standard for this purpose. In recent years deep sequencing technologies have been developed that hold the promise of measuring the transcriptome with RNA-seq in a more accurate and unbiased manner than microarrays. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL13695
8 Samples
Download data: CEL, TXT
Series
Accession:
GSE36243
ID:
200036243
9.

Transcriptomic response to benzo[a]pyrene treatment in HepG2 cells (RNA-Seq)

(Submitter supplied) Whole-genome transcriptome measurements are pivotal for characterizing carcinogenic mechanisms of chemicals and predicting toxic classes, such as genotoxicity, from in vitro and in vivo assays. DNA microarrays have evolved as the gold standard for this purpose. In recent years deep sequencing technologies have been developed that hold the promise of measuring the transcriptome with RNA-seq in a more accurate and unbiased manner than microarrays. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL9052
8 Samples
Download data: TXT
Series
Accession:
GSE36242
ID:
200036242
10.

Low-cost, low-bias and low-input RNA-seq with High Experimental Verifiability based on Semiconductor Sequencing

(Submitter supplied) We developed a new method on sequencing low-input RNA. This method shows much low-bias with the advantage of semiconductor while competing with smart-seq2. In order to analyze the low-input RNA datasets sensitively, we also develop FANSe2splice with high experimental verification rate as the analysis tool in our method.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL20301 GPL17303
3 Samples
Download data: TXT
11.

Unamplified Cap Analysis of Gene Expression on a single molecule sequencer (HeliScopeCAGE)

(Submitter supplied) We report the development of a simplified Cap Analysis of Gene Expression (CAGE) protocol adapted for single molecule sequencers which avoids second strand synthesis, ligation, digestion and PCR. HeliScopeCAGE directly sequences the 3’ end of cap trapped first strand cDNAs. As with previous versions of CAGE, we better define transcription start sites (TSS) than known models, identify novel regions of transcription and alternative promoters, and find two major classes of TSS signal, sharp peaks and broad regions. more...
Organism:
Homo sapiens
Type:
Expression profiling by array; Expression profiling by high throughput sequencing
Platforms:
GPL6884 GPL14761
19 Samples
Download data: TXT
12.

Highly sensitive amplicon-based transcript quantification by semi-conductor sequencing

(Submitter supplied) We have adapted a commercial assay that employs mRNA quantification based on the frequency of PCR amplicons determined by next-generation to a high-throughput semi-conductor sequencing platform (Ion-Torrent Proton). We show parallel amplification of pathway derived transcript sets/genes in 12 reference RNA samples followed by sequence-based quantification covering a dynamic range of five orders of magnitude with low technical variation.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17301
12 Samples
Download data: TXT
Series
Accession:
GSE58737
ID:
200058737
13.

A Comparative Analysis of Library Prep Approaches for Sequencing Low Input Translatome Samples

(Submitter supplied) We evaluated the performance of 5 library prep protocols by using total mRNA and IP RNA of mouse liver,we found all the 5 library preparation kits detect more enrichment effects than depletion effect. The profiles being generated by SMARTer kit is different than all other kits.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL13112 GPL18480
42 Samples
Download data: TXT
Series
Accession:
GSE104213
ID:
200104213
14.

RNA-seq sample preparation kits strongly affect transcriptome profiles of a gas-fermenting bacterium

(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
Series
Accession:
GSE200959
ID:
200200959
15.

Gas-fermenting acetogens regulate their metabolism to maintain ATP homeostasis

(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
Series
Accession:
GSE90792
ID:
200090792
16.

Systematic evaluation of RNA-Seq preparation protocol performance

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
14 Samples
Download data
Series
Accession:
GSE131398
ID:
200131398
17.

Systematic evaluation of RNA-Seq preparation protocol performance (RNASeq: TruSeq)

(Submitter supplied) In this study, we present a comprehensive evaluation of four RNA-Seq library preparation methods. We used three standard input protocols, the Illumina TruSeq Stranded Total RNA and TruSeq Stranded mRNA kits, and a modified NuGEN Ovation v2 kit; and an ultra-low-input RNA protocol, the TaKaRa SMARTer Ultra Low RNA Kit v3. Our evaluation of these kits included quality control measures such as overall reproducibility, 5’ and 3’ end-bias, and the identification of DEGs, lncRNAs, and alternatively spliced transcripts. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
6 Samples
Download data: TXT
Series
Accession:
GSE131397
ID:
200131397
18.

Systematic evaluation of RNA-Seq preparation protocol performance (RNASeq: SMARTer)

(Submitter supplied) In this study, we present a comprehensive evaluation of four RNA-Seq library preparation methods. We used three standard input protocols, the Illumina TruSeq Stranded Total RNA and TruSeq Stranded mRNA kits, and a modified NuGEN Ovation v2 kit; and an ultra-low-input RNA protocol, the TaKaRa SMARTer Ultra Low RNA Kit v3. Our evaluation of these kits included quality control measures such as overall reproducibility, 5’ and 3’ end-bias, and the identification of DEGs, lncRNAs, and alternatively spliced transcripts. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
8 Samples
Download data: TXT
Series
Accession:
GSE131396
ID:
200131396
19.

PAT-seq: a simple approach to digital gene expression, the measure of poly(A)-tail length and its position in eukaryotic transcriptomes

(Submitter supplied) The Poly(A)-Tail focused RNA-seq, or PAT-seq approach, is an affordable and efficient tool for the measure of 3’UTR dynamics. We show here that PAT-seq returns (i) digital gene expression, (ii) polyadenylation site usage within and between samples, including alternative adenylation, and (iii) the polyadenylation-state the transcriptome. PAT-seq differs from previous 3’ focused RNA-seq methods in that it strictly depends on native 3’ adenylation within total RNA samples and thus removes the need for ribosome depletion and, that the full native poly(A)-tail is included in the sequencing libraries. more...
Organism:
Saccharomyces cerevisiae
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL18085
13 Samples
Download data: CSV
Series
Accession:
GSE53461
ID:
200053461
20.

Targeted RNA sequencing enhances gene expression profiling of ultra-low input samples

(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
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