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Links from GEO DataSets

Items: 20

1.

Small RNA sequencing in wild chickpea

(Submitter supplied) We report small RNA data from the leaves of wild chickpea PI 489777. Small RNA library was prepared and sequencing was performed using Illumina platform. A total of 23 million reads were generated, which represented 0.95 million unique reads. These were mapped to the chickpea genome using Bowtie to obtain the non-redundant set of unique small RNA sequences.
Organism:
Cicer reticulatum
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL23991
1 Sample
Download data: FASTA
Series
Accession:
GSE103571
ID:
200103571
2.

Single-base resolution DNA methylome maps of different organs in chickpea

(Submitter supplied) In this study, we have elucidated the DNA methylation patterns in different organs of a cultivated chickpea genotype ICC 4958 (leaf, root, flower and young pod) and leaf of wild chickpea PI 489777 using bisulphite sequencing. Approximately 108 million read pairs were analyzed per sample. The extent of methylation along-with the context and genomic location of methylated Cs was identified. Further processing was performed to identify the differentially methylated regions among samples with leaves of ICC 4958 as the reference sample. more...
Organism:
Cicer arietinum; Cicer reticulatum
Type:
Methylation profiling by high throughput sequencing
Platforms:
GPL20619 GPL23991
5 Samples
Download data: TXT
Series
Accession:
GSE103575
ID:
200103575
3.

Gene expression profiling in different organs of chickpea

(Submitter supplied) In this study, global transcriptome profiling was performed for different organs of ICC 4958 (leaves, roots, flowers and young pod) and leaves of wild chickpea, PI 489777. More than 50 million high-quality reads were obtained from each sample using Illumina platform. A consensus reference-guided assembly was generated for the transcriptome data from all samples and gene expression was analysed.
Organism:
Cicer arietinum; Cicer reticulatum
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL20619 GPL23991
5 Samples
Download data: CSV, ZIP
Series
Accession:
GSE103561
ID:
200103561
4.

Salinity stress response in chickpea

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Cicer arietinum
Type:
Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing
Platform:
GPL32287
20 Samples
Download data: FA, TXT
Series
Accession:
GSE204730
ID:
200204730
5.

Epigenetic regulation during salinity stress response in chickpea (WGBS)

(Submitter supplied) Bisulphite sequencing of salinity sensitive and salinity tolerant chickpea genotypes during salinity stress response using Illumina platform has been performed. At least 195 million reads in bisulphite sequencing were generated in each sample. Methylated cytosines in each sample were identified for their genomic location and sequence context.
Organism:
Cicer arietinum
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL32287
8 Samples
Download data: TXT
Series
Accession:
GSE204729
ID:
200204729
6.

Small RNA sequencing during salinity stress response in chickpea (small RNA-Seq)

(Submitter supplied) In this study, we have identified small RNA during salinity stress response in chickpea. Small RNA library was prepared and sequencing was performed using Illumina platform. A total of 79 million reads were generated. These reads were mapped to the chickpea genome using Bowtie.
Organism:
Cicer arietinum
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL32287
4 Samples
Download data: FA
Series
Accession:
GSE204728
ID:
200204728
7.

Gene expression profiling during salinity stress response in chickpea (RNA-Seq)

(Submitter supplied) In this study, we performed transcriptomic analysis salinity stress response in salinity sensitive and tolerant genotypes of chickpea using Illumina platform. A total of 87 million reads in RNA-sequencing data were generated in all the samples. Mapping of the reads to the Kabuli genome was performed using tophat (v2.1.1). Differentially expressed genes were identified using cufflilnks-cuffdiff (2.2.1) pipeline.
Organism:
Cicer arietinum
Type:
Expression profiling by high throughput sequencing
Platform:
GPL32287
8 Samples
Download data: TXT
Series
Accession:
GSE204727
ID:
200204727
8.

DNA methylation during seed development in small-seeded chickpea

(Submitter supplied) In this study, we performed bisulphite of two stages of seed development in a small-seeded chickpea cultivar (Himchana 1) using Illumina platform. Paired-end reads were generated from 5 libraries. Data obtained in FASTQ files were pre-processed to remove adapters and low-quality reads. We identified methylation level at each cytosine residue covered in sequencing and differentially methylated regions (DMRs) between stages of seed development.
Organism:
Cicer arietinum
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL20619
5 Samples
Download data: TXT
Series
Accession:
GSE131669
ID:
200131669
9.

DNA methylation during seed development in large-seeded chickpea

(Submitter supplied) In this study, we performed bisulphite of five stages of seed development in a large-seeded chickpea cultivar (JGK 3) using Illumina platform. Paired-end reads were generated from 11 libraries. Data obtained in FASTQ files were pre-processed to remove adapters and low-quality reads. We identified methylation level at each cytosine residue covered in sequencing and differentially methylated regions (DMRs) between stages of seed development.
Organism:
Cicer arietinum
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL20619
11 Samples
Download data: TXT
Series
Accession:
GSE131665
ID:
200131665
10.

Small RNAs during seed development in large-seeded chickpea

(Submitter supplied) In this study, we sequenced small RNAs at seven successive stages of seed development and leaf tissue in a large-seeded chickpea cultivar (JGK 3) using Illumina platform. More than 500 million reads were generated in all the samples combined together with an average of 34 million reads in each sample. Data obtained in FASTQ files were pre-processed and unique reads representing small RNAs were identified at different stages of seed development.
Organism:
Cicer arietinum
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL20619
15 Samples
Download data: FA
Series
Accession:
GSE131424
ID:
200131424
11.

Transcriptome dynamics during seed development in chickpea (Himchana)

(Submitter supplied) In this study, we aim to present a global view of transcriptome dynamics during seed development in a small-seeded chickpea (genotype Himchana 1). We generated about 1.5 billion high-quality reads from 24 libraries (leaf and seven seed developmental stages in three biological replicates) using Illumina high-throughput sequencing platform. We mapped the reads to the kabuli chickpea genome for estimation of their transcript abundance in different tissue samples. more...
Organism:
Cicer arietinum
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20619
24 Samples
Download data: TXT
Series
Accession:
GSE79720
ID:
200079720
12.

Transcriptome dynamics during seed development in chickpea (JGK3)

(Submitter supplied) In this study, we aim to present a global view of transcriptome dynamics during seed development in a large-seeded chickpea (genotype JGK3). We generated about 1.5 billion high-quality reads from 24 libraries (leaf and seven seed developmental stages in three biological replicates) using Illumina high-throughput sequencing platform. We mapped the reads to the kabuli chickpea genome for estimation of their transcript abundance in different tissue samples. more...
Organism:
Cicer arietinum
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20619
24 Samples
Download data: TXT
Series
Accession:
GSE79719
ID:
200079719
13.

Transcriptome analysis and Genome-wide DNA methylation maps in chronic lymphocytic leukemia cells determined by next-generation sequencing

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing
Platforms:
GPL10999 GPL11154
111 Samples
Download data: BED
Series
Accession:
GSE66167
ID:
200066167
14.

Genome-wide DNA methylation maps in chronic lymphocytic leukemia cells determined by next-generation sequencing (RRBS)

(Submitter supplied) Chronic lymphocytic leukemia (CLL) is a biologically and clinically heterogeneous disease. The somatic hypermutation status of the immunoglobulin heavy chain variable (IGHV) genes has been identified as one of the most robust prognostic markers in CLL. Patients with unmutated IGHV status (U-CLL) typically experience an inferior outcome compared to those whose clones express mutated IGHV genes (M-CLL). more...
Organism:
Homo sapiens
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL11154
42 Samples
Download data: BED
Series
Accession:
GSE66121
ID:
200066121
15.

Transcriptome analysis in chronic lymphocytic leukemia cells using RNA sequencing (RNA-seq)

(Submitter supplied) Chronic lymphocytic leukemia (CLL) is a biologically and clinically heterogeneous disease. The somatic hypermutation status of the immunoglobulin heavy chain variable (IGHV) genes has been identified as one of the most robust prognostic markers in CLL. Patients with unmutated IGHV status (U-CLL) typically experience an inferior outcome compared to those whose clones express mutated IGHV genes (M-CLL). more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
52 Samples
Download data: TXT
16.

Epigenetic and genetic influences on DNA methylation variation in maize populations

(Submitter supplied) DNA methylation is a chromatin modification that is frequently associated with epigenetic regulation in plants and mammals. However, other genetic changes such as transposon insertions also can lead to changes in DNA methylation levels. Genome-wide profiles of DNA methylation levels for 20 maize inbreds were used to discover differentially methylated regions (DMRs). The methylation level for each of these DMRs was also assayed in 31 additional maize genotypes resulting in the discovery of 1,966 common DMRs and 1,754 rare DMRs. more...
Organism:
Zea mays
Type:
Methylation profiling by genome tiling array
Platforms:
GPL15621 GPL17181 GPL13499
86 Samples
Download data: PAIR
Series
Accession:
GSE46949
ID:
200046949
17.

Chickpea Transcriptome Atlas - I

(Submitter supplied) In this study, we aim to present a global view of transcriptome dynamics during flower development in chickpea. We generated around 234 million high-quality reads for eight flower development stages (ranging from 16 to 40 million reads for each stage) and 91 million high-quality reads from three vegetative tissues using Illumina high-throughput sequencing GAII platform. Because of non-availability of reference genome sequence, we mapped the reads to chickpea transcriptome comprised of 34,760 transcripts for estimation of their transcriptional activity in different tissue samples. more...
Organism:
Cicer arietinum
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16348
11 Samples
Download data: TXT
Series
Accession:
GSE42679
ID:
200042679
18.

DNA Methylation Identifies Epigenetic Variation across Embryo and Endosperm in Maize (Zea may)

(Submitter supplied) Epigenetic modification plays important roles in plant and animal development. DNA methylation can impact the transposable element (TE) silencing, gene imprinting and regulate gene expression.Through a genome-wide analysis, DNA methylation peaks were respectively characterized and mapped in maize embryo and endosperm genome. Distinct methylation level across maize embryo and endosperm was observed. The maize embryo genome contained more DNA methylation peaks than endosperm. However, the endosperm chloroplast genome contained more DNA methylation peaks to compare with the embryo chloroplast genome. DNA methylation regions were characterized and mapped in genome. More CG island (CGI) shore are methylated than CGI in maize suggested that DNA methylation level is not positively correlated with CpG density. The DNA methylation occurred more frequently in the promoter sequence and transcriptional termination region (TTR) than other regions of the genes. The result showed that 99% TEs we characterized are methylated in maize embryo, but some (34.8%) of them are not methylated in endosperm. Maize embryo and endosperm exhibit distinct pattern/level of methylation. The most differentially methylated two regions between embryo and endosperm are High CpG content promoters (HCPs) and high CpG content TTRs (HCTTRs). DNA methylation peaks distinction of mitochondria and chloroplast DNA were less than the nucleus DNA. Our results indicated that DNA methylation is associated with the gene silencing or gene activation in maize endosperm and embryo. Many genes involved in embryogenesis and seed development were found differentially methylated in embryo and endosperm. We found 17 endosperm-specific expressed imprinting genes were hypomethylated in endosperm and were hypermethylated in embryo. The expression of a maize DEMETER -like (DME-like) gene and MBD101 gene (MBD4 homolog) which direct bulk genome DNA demethylation were higher in endosperm than in embryo. These two genes may be associated with the distinct methylation level across maize embryo and endosperm.The methylomes of maize embryo and endosperm was obtained by MeDIP-seq method. The global mapping of maize embryo and endosperm methylation in this study broadened our knowledge of DNA methylation patterns in maize genome, and provided useful information for future studies on maize seed development and regulation of metabolic pathways in different seed tissues.
Organism:
Zea mays
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL15463
2 Samples
Download data: BED
Series
Accession:
GSE58549
ID:
200058549
19.

MeDIP-chip result of 10 lung cancer patients

(Submitter supplied) Compared with non-cancerous lung tissues, lung cancer in Xuanwei tissues expressed a total of 6,899 differentially methylated regions, including 5,788 hypermethylated regions and 1,111 hypomethylated regions. Many differentially methylated regions have been found in lung cancer in Xuanwei.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL16378
2 Samples
Download data: GFF, PAIR, XLS
Series
Accession:
GSE113432
ID:
200113432
20.

The DNA methylation profile of liver tumors in C3H mice and identification of differentially methylated regions involved in the regulation of tumorigenic genes

(Submitter supplied) Background: C3H mice have been frequently used in cancer studies as animal models of spontaneous liver tumors and chemically induced hepatocellular carcinoma (HCC). Epigenetic modifications, including DNA methylation, are among pivotal control mechanisms of gene expression leading to carcinogenesis. Although information on somatic mutations in liver tumors of C3H mice is available, epigenetic aspects are yet to be clarified. more...
Organism:
Mus musculus
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL17021
6 Samples
Download data: XLSX
Series
Accession:
GSE111420
ID:
200111420
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