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Links from GEO DataSets

Items: 20

1.

RNA-seq differential expression studies: more sequence, or more replication?

(Submitter supplied) Motivation: RNA-seq is replacing microarrays as the primary tool for gene expression studies. Many RNA-seq studies have used insufficient biological replicates, resulting in low statistical power and inefficient use of sequencing resources. Results: We show the explicit trade-off between more biological replicates and deeper sequencing in increasing power to detect differentially expressed (DE) genes. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
14 Samples
Download data: TXT
2.

Evaluating Gene Expression in C57BL/6J and DBA/2J Mouse Striatum Using RNA-Seq and Microarray

(Submitter supplied) C57BL/6J (B6) and DBA/2J (D2) are two of the most commonly used inbred mouse strains in neuroscience research. However, the only currently available mouse genome is based entirely on the B6 strain sequence. Subsequently, oligonucleotide microarray probes are based solely on this B6 reference sequence, making their application for gene expression profiling comparisons across mouse strains dubious due to their allelic sequence differences, including single nucleotide polymorphisms (SNPs). more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platforms:
GPL6885 GPL1261
44 Samples
Download data: CEL, TXT
Series
Accession:
GSE26024
ID:
200026024
3.

Quartz-Seq2: a high-throughput single-cell RNA-sequencing method that effectively uses limited sequence reads

(Submitter supplied) High-throughput single-cell RNA-seq methods assign limited unique molecular identifier (UMI) counts as gene expression values to single cells from shallow sequence reads and detect limited gene counts. We thus developed a high-throughput single-cell RNA-seq method, Quartz-Seq2, to overcome these issues. Our improvements in several of the reaction steps of Quartz-Seq2 allow us to effectively convert initial reads to UMI counts (at a rate of 30%–50%). more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL19057 GPL17021
74 Samples
Download data: TXT
Series
Accession:
GSE99866
ID:
200099866
4.

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Nrl-/- Retinal Transcriptomes

(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
Series
Accession:
GSE33141
ID:
200033141
5.

Differential gene expression tools exhibit substandard performance for long non-coding RNA-sequencing data

(Submitter supplied) Paired End PolyA-+ RNA-sequencing of NGP cells with and without NGP treatment in 10 replicates.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
20 Samples
Download data: TSV
6.

A benchmark of hemoglobin blocking during library preparation for mRNA-Sequencing of human blood samples

(Submitter supplied) Background: RNA-Sequencing (RNA-Seq) of peripheral blood can be a valuable source of information for investigating the status and mechanism of diseases. However, blood contains mostly unwanted hemoglobin (Hb) transcripts. A recent method for Illumina RNA-Seq features a ‘Globin Block’ (GB) module that depletes Hb transcripts during library preparation. Here, we aimed to assess GB’s effectiveness, and we checked for technical biases attributable to GB. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL20301 GPL16791
198 Samples
Download data: CSV
7.

RNA-sequence analysis of human B-cells

(Submitter supplied) RNA-sequencing (RNA-seq) allows quantitative measurement of expression levels of genes and their transcripts. In this study, we sequenced complementary DNA fragments of cultured human B-cells and obtained 879 million 50-bp reads comprising 44 Gb of sequence. The results allowed us to study the gene expression profile of B-cells and to determine experimental parameters for sequencing-based expression studies. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL9052
20 Samples
Download data: MAP, TXT
Series
Accession:
GSE29158
ID:
200029158
8.

CATseq a comparative Arabidopsis Transcriptome - RNA-Seq part

(Submitter supplied) A comparative assessment between both technologies, RNASeq and microarrays to detect differential expression in Arabidopsis transcriptome. The sequencing approach use High-throughput sequencing on different Solexa technologies (GAII,HiSeq2000 multiplex or not) Wild type samples were analyzed from 2 tissus (flower buds and leaves) which have a very contrasted transcriptomic profile (i.e very high number of genes differentially expressed).
Organism:
Arabidopsis thaliana
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL13222 GPL11221
11 Samples
Download data: FA, TXT
Series
Accession:
GSE53673
ID:
200053673
9.

bf_vs_f-Comparative Arabidopsis Transcriptome -Sequencing

(Submitter supplied) cat-seq - bf_vs_f - A comparative assessment of the Arabidopsis sequencing approach High-throughput sequencing cDNA GAII or HiSeq2000 sequenceur (technology Solexa) and data on CATMA array hybridation (version 6). These different characteristics will be studied through the analysis of control samples but also samples from mutants in genes coding for cytosolic or nuclear PPR proteins - The two selected samples are the flower buds and leaves of Arabidopsis. more...
Organism:
Arabidopsis thaliana
Type:
Expression profiling by array
Platform:
GPL15719
4 Samples
Download data: PAIR
Series
Accession:
GSE45345
ID:
200045345
10.

Single-cell RNA-seq of fibroblasts from recessive dystrophic epidermolysis bullosa patients and wild-type controls

(Submitter supplied) The goal of this study is to discover fibroblast subpopulations relevant to recessive dystrophic epidermolysis bullosa
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL15520
543 Samples
Download data: TXT
Series
Accession:
GSE108849
ID:
200108849
11.

Comparative Analysis of RNA-Seq Alignment Algorithms and the RNA-Seq Unified Mapper (RUM).

(Submitter supplied) A critical task in high throughput sequencing is aligning millions of short reads to a reference genome. Alignment is especially complicated for RNA sequencing (RNA-Seq) because of RNA splicing. A number of RNA-Seq algorithms are available, and claim to align reads with high accuracy and efficiency while detecting splice junctions. RNA-Seq data is discrete in nature; therefore with reasonable gene models and comparative metrics RNA-Seq data can be simulated to sufficient accuracy to enable meaningful benchmarking of alignment algorithms. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11002
4 Samples
Download data: SAM, TXT
Series
Accession:
GSE26248
ID:
200026248
12.

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
13.

Expression analysis of neurospheres generated in vitro

(Submitter supplied) Neurospheres generated in vitro were treated with non-epinephrine or potassium chloride. Gene expression analysis was then carried out to identify genes that are up or down regulated due to chemical treatement.
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL6246
6 Samples
Download data: CEL
Series
Accession:
GSE57440
ID:
200057440
14.

Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data

(Submitter supplied) A large number of computational methods have been recently developed for analyzing differential gene expression (DE) in RNA-seq data. We report on a comprehensive evaluation of the commonly used DE methods using the SEQC benchmark data set and data from ENCODE project. We evaluated a number of key features including: normalization, accuracy of DE detection and DE analysis when one condition has no detectable expression. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Third-party reanalysis
Platform:
GPL11154
10 Samples
Download data: TXT
15.

Sequencing Universal Human Reference RNA by Smart-seq and early barcoding library preparation methods

(Submitter supplied) Many library preparation methods are available for gene expression quantification. Here, we sequenced and analysed Universal Human Reference RNA (UHRR) prepared using Smart-Seq2, TruSeq (public data) and a protocol using unique molecular identifiers (UMIs) that all include the ERCC spike-in mRNAs to investigate the effects of amplification bias on expression quantification.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18460
11 Samples
Download data: TXT
16.

Comparison between 3'-DGE and Conventional mRNA-Sequencing Methods

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
32 Samples
Download data
Series
Accession:
GSE98432
ID:
200098432
17.

mRNA Sequencing of Human PromoCells Using 3'-directed Digital Gene Expression (3'-DGE) Technique

(Submitter supplied) The differential gene expression of human cardiomyocytes induced by kinase inhibitors sorafenib and sunitinib is measured by a high-throughput mRNA-sequencing approach called 3'-DGE, that is based on a 3' end-focused reference sequence library and a transcript molecule counting method with unique molecular identifiers (UMI) for correcting PCR bias.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
16 Samples
Download data: TSV, TXT
18.

mRNA Sequencing of Human PromoCells Using Random Primed mRNA-Sequencing Technique

(Submitter supplied) The differential gene expression of human cardiomyocytes induced by kinase inhibitors sorafenib and sunitinib is measured by a high-throughput mRNA-sequencing approach called 3'-DGE, that is based on a 3' end-focused reference sequence library and a transcript molecule counting method with unique molecular identifiers (UMI) for correcting PCR bias.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
16 Samples
Download data: TSV, TXT
19.

SEQC Toxicogenomics Study: microarray data set

(Submitter supplied) The comparative advantages of RNA-Seq and microarrays in transcriptome profiling were evaluated in the context of a comprehensive study design. Gene expression data from Illumina RNA-Seq and Affymetrix microarrays were obtained from livers of rats exposed to 27 agents that comprised of seven modes of action (MOAs); they were split into training and test sets and verified with real time PCR. contributor: DrugMatrix, National Toxicology program (NTP)
Organism:
Rattus norvegicus
Type:
Expression profiling by array
Platform:
GPL1355
105 Samples
Download data: CEL
Series
Accession:
GSE47875
ID:
200047875
20.

SEQC Project

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Rattus norvegicus; synthetic construct; Homo sapiens
Type:
Expression profiling by array; Expression profiling by high throughput sequencing
15 related Platforms
4521 Samples
Download data: CEL, TXT
Series
Accession:
GSE47792
ID:
200047792
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