U.S. flag

An official website of the United States government

Format
Items per page
Sort by

Send to:

Choose Destination

Links from GEO DataSets

Items: 20

1.

Whole transcriptome sequencing reveals dynamic RNA changes in the aging rat brain

(Submitter supplied) Using RNA-seq, 9 cerebral cortex RNA samples were sequenced from 6 month (n=3, 6 individuals pooled), 12 month (n=3, 6 individuals pooled) and 28 month (n=3, 6 individuals pooled) rats. Allowing brain aging in the cerebral cortex to be assessed.
Organism:
Rattus norvegicus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL14980
9 Samples
Download data: TXT
Series
Accession:
GSE34272
ID:
200034272
2.

Evaluation of the post-stroke transcriptome of the mouse cortex using genome-wide RNA-seq

(Submitter supplied) RNA-sequencing was conducted to profile the transcriptome of the post-ischemic mouse cortex at multiple reperfusion time-points. RNA was isolated from sham and middle cerebral artery occlusion (MCAO)-operated mice at different reperfusion time points (6 h, 12 h or 24 h; three independent biological replicates per group), converted into cDNA libraries, and used for Illumina deep sequencing on a NexSeq500 instrument. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
12 Samples
Download data: GTF
Series
Accession:
GSE112348
ID:
200112348
3.

The long non-coding RNA transcriptome of Dictyostelium discoideum development

(Submitter supplied) This study details the content and dynamics of the long non-coding transcriptome during D. discoideum development, providing an important compendium to the well-characterized protein coding transcriptome. Applying a novel sample preparation method, we isolated antisense and long intergenic non-coding RNAs in addition to mRNAs. We describe the behavior of these different classes of RNAs that have been shown to play important regulatory roles in numerous model systems. more...
Organism:
Dictyostelium discoideum
Type:
Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing
Platform:
GPL22784
23 Samples
Download data: TXT, XLSX
Series
Accession:
GSE90829
ID:
200090829
4.

Molecular Transducers of Human Skeletal Muscle Remodeling under Different Loading States [CDF: GC_M_HTA_3utr_Grch38,binary.cdf]

(Submitter supplied) The annotation of the Affymetrix HTA 2.0 array was updated to optimise the detection of RNA in human skeletal muscle biopsy samples by removing invalid and low signal-high-variance probes (as for CDF GPL24047). The probes were then summarized into groups (probe-sets) reflecting either an ensembl full transcript identifier (FL-ENST, GPL24047) or just the probes targeting the 3' UTR or the 5' UTR of that particular ENST. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL28993
230 Samples
Download data: CEL
Series
Accession:
GSE155959
ID:
200155959
5.

Molecular Transducers of Human Skeletal Muscle Remodeling under Different Loading States [CDF: GC_M_HTA_5utr_Grch38,binary.cdf]

(Submitter supplied) The annotation of the Affymetrix HTA 2.0 array was updated to optimise the detection of RNA in human skeletal muscle biopsy samples by removing invalid and low signal-high-variance probes (as for CDF GPL24047). The probes were then summarized into groups (probe-sets) reflecting either an ensembl full transcript identifier (FL-ENST, GPL24047) or just the probes targeting the 3' UTR or the 5' UTR of that particular ENST. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL28991
230 Samples
Download data: CEL
Series
Accession:
GSE155934
ID:
200155934
6.

Molecular Transducers of Human Skeletal Muscle Remodeling under Different Loading States [CDF: Muscle_genome-build-id_ENST_binary]

(Submitter supplied) The annotation of the Affymetrix HTA 2.0 array was updated to optimise the detection of RNA in human skeletal muscle biopsy samples by removing invalid and low signal-high-variance probes (as for CDF GPL24047). The probes were then summarized into groups (probe-sets) reflecting either an ensembl full transcript identifier (FL-ENST, GPL24047) or just the probes targeting the 3' UTR or the 5' UTR of that particular ENST. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL24047
230 Samples
Download data: CEL
Series
Accession:
GSE155933
ID:
200155933
7.

META-PREDICT: Dynamic responses of the global human skeletal muscle coding and noncoding transcriptome to exercise

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
4 related Platforms
1531 Samples
Download data: CEL
Series
Accession:
GSE154846
ID:
200154846
8.

Human skeletal muscle transcriptome (39 independent analyses)

(Submitter supplied) The annotation of the Affymetrix HTA 2.0 array was updated to optimise the detection of RNA in human skeletal muscle samples by removing invalid and low signal-high-variance probes Human primary skeletal muscle cells were isolated from muscle biopsies from healthy adults as previously described (Crossland et al. 2016; Crossland et al. 2017). Myogenic cell enrichment used magnetic-activated cell sorting (MACS) and anti-CD56 microbeads (130-050-401; Miltenyi Biotec). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL24047
40 Samples
Download data: CEL
Series
Accession:
GSE130789
ID:
200130789
9.

Human skeletal muscle transcriptome

(Submitter supplied) The annotation of the Affymetrix HTA 2.0 array was updated to optimise the detection of both coding and non-coding RNA in human skeletal muscle biopsy samples by removing invalid and low signal-high-variance probes. A transcript level CDF specific to skeletal muscle is provided to use within the standard aroma.affymetrix pipeline.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL24047
527 Samples
Download data: CEL
Series
Accession:
GSE104235
ID:
200104235
10.

RNA sequencing reveals diverse and dynamic repertoire of the Xenopus tropicalis transcriptome over development.

(Submitter supplied) We report the application of paired-end RNA sequencing for high throughput profiling of the Xenopus transcriptome in 23 distinct developmental stages. In total, we obtained over 900 million reads and the deep coverage allowed us to examine the transcriptome in detail. First, we found that ~150 genes are transcribed before embryonic genome activation when transcription is generally thought to be repressed. more...
Organism:
Xenopus tropicalis
Type:
Expression profiling by high throughput sequencing
Platform:
GPL15472
40 Samples
Download data: TXT
Series
Accession:
GSE37452
ID:
200037452
11.

Integrated analysis of lncRNA and mRNA reveals the temporal expression patterns during chicken brain development and aging

(Submitter supplied) We systematically investigated the lncRNA and mRNA temporal expression profile of the female chicken brain by high-throughput sequencing 8 stages across their entire lifespan. We identified and classified 39,907 putative lncRNAs, and predicted the potential biological functions of lncRNAs based on WGCNA. Temporal expression patterns were investigated based on a set of age-dependent genes, results showed that genes functioned in development, synapse and axon exhibited a progressive decay; genes related to immune response were up-regulated with age, And some genes showed inversion of their temporal profiles. more...
Organism:
Gallus gallus
Type:
Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing
Platform:
GPL24517
21 Samples
Download data: TXT
Series
Accession:
GSE114129
ID:
200114129
12.

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
13.

Dynamics of the transcriptional landscape during human gonad development during fetal life

(Submitter supplied) Fetal life is a crucial period for sexual reproduction when bipotential gonads differentiate into either a testis or an ovary. Gaining insights into the complex molecular events underlying this process is central to a better understanding of disorders of sexual development. The present work therefore intends to improve the knowledge on molecular pathways at play during gonad development in humans using RNA-Sequencing.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
48 Samples
Download data: BED, GTF, TXT, XLSX
Series
Accession:
GSE116278
ID:
200116278
14.

Deep sequencing the circadian and light-dependent transcriptome of Drosophila brain

(Submitter supplied) Eukaryotic circadian clocks include transcriptional/translational feedback loops that drive 24-hour rhythms of transcription.These transcriptional rhythms underlie oscillations of protein abundance, thereby mediating circadian rhythms of behavior, physiology, and metabolism. Numerous studies over the last decade have employed microarrays to profile circadian transcriptional rhythms in various organisms and tissues. more...
Organism:
Drosophila melanogaster
Type:
Expression profiling by high throughput sequencing
Platform:
GPL13304
24 Samples
Download data: BED, BEDGRAPH, TXT
Series
Accession:
GSE36108
ID:
200036108
15.

Deep sequencing the circadian transcriptome of Drosophila brain

(Submitter supplied) RNAseq transcriptional profiling of Drosophila brains from wildtype, and period loss-of-function animals with time points taken over two days.
Organism:
Drosophila melanogaster
Type:
Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing
Platform:
GPL11203
24 Samples
Download data: BED, BEDGRAPH, TXT
Series
Accession:
GSE29972
ID:
200029972
16.

Impact of cognitive performance and normal aging on transcriptomic changes in the prefrontal cortex of rats

(Submitter supplied) We investigated how cognitive stimulation impacts gene expression in the prefrontal cortex (PFC), a brain region known to regulate higher cognitive functions including the control of attention, in young and aged rats.
Organism:
Rattus norvegicus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18694
12 Samples
Download data: TXT
Series
Accession:
GSE105453
ID:
200105453
17.

A switch from neuronal network development to maintenance during postnatal development of rat prefrontal cortex

(Submitter supplied) To unravel the gene expression changes during postnatal prefrontal cortex development, RNA-seq was performed in the rat medial prefrontal cortex at five time points from early life to adulthood (postnatal day 8, 14, 21, 35 and 70) and differential expression of protein-coding genes, lincRNAs and alternative exons was analyzed. A switch from neuronal network development to maintenance during postnatal rat prefrontal cortex development was shown.
Organism:
Rattus norvegicus
Type:
Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing
Platform:
GPL14844
25 Samples
Download data: BEDGRAPH, TXT
Series
Accession:
GSE79860
ID:
200079860
18.

Revealing novel transcribed sequences absent from the human reference genome by RNA-Seq

(Submitter supplied) These two transcriptome sequencing datasets were generated from two reference RNA samples established by the US FDA-led MicroArray Quality Control project with Illumina next-generation sequencing technology. The reference RNA sample A (UHRR, Catalog #740000) consists of total RNA extracted from 10 human cell lines of various origins: Blymphocyte, brain, breast, cervix, liposarcoma, liver, macrophage, skin, testis and Tlymphocyte. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing
Platform:
GPL9115
2 Samples
Download data: BED
Series
Accession:
GSE30251
ID:
200030251
19.

Comparative analysis of human protein-coding and noncoding RNAs between brain and various cell lines by RNA-Seq

(Submitter supplied) These two transcriptome sequencing datasets were generated from two reference RNA samples established by the US FDA-led MicroArray Quality Control project with Illumina next-generation sequencing technology. The reference RNA sample A (UHRR, Catalog #740000) consists of total RNA extracted from 10 human cell lines of various origins: Blymphocyte, brain, breast, cervix, liposarcoma, liver, macrophage, skin, testis and Tlymphocyte. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing
Platform:
GPL9115
2 Samples
Download data: BED
Series
Accession:
GSE30250
ID:
200030250
20.

RNA-seq of brain and various cell lines

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing
Platform:
GPL9115
4 Samples
Download data: BED
Series
Accession:
GSE30222
ID:
200030222
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

db=gds|term=|query=5|qty=8|blobid=MCID_6711fb0fc7d3ca20d5f14160|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
   Taxonomic Groups  [List]
Tree placeholder
    Top Organisms  [Tree]

Find related data

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Support Center