GEO DataSets

(Submitter supplied) In this dataset, we include the expression data obtained from gastric cancer tissues and gastric normal tissues to determine the differentially expressed genes in gastric cancer tissues.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

90 Samples

Download data: CEL

(Submitter supplied) In this dataset, we include the expression data obtained from gastric cancer tissues and gastric normal tissues to determine the differentially expressed microRNA in gastric cancer tissue.s

Organism:

synthetic construct; Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL8786

30 Samples

Download data: CEL

(Submitter supplied) We sequenced mammary gland samples of MMTV-PyMT mouse from 4 stages (hyperplasia at week 6, adenoma/MIN at week 8, early carcinoma at week 10, and late carcinoma with lung metastasis at week 12) during tumor progression.

Organism:

Mus musculus

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL17021

24 Samples

Download data: CSV

(Submitter supplied) To invesigate the physiology roles of mir-122 in liver, we performed expression profiling of mir-122 knockout mice and the control B6/129 mice.

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

7 Samples

Download data: CEL, CHP

(Submitter supplied) Background: MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression. Their abilyty to affect multiple gene pathways by targeting to various mRNAs makes them to an interesting class of regulators. The interplay between miRNA and mRNA has been proposed as an important process in cancer development and progression. In this study, we analyzed miRNA -mRNA interactions in bladder urothelial carcinoma. more...

Organism:

Homo sapiens

Type:

Expression profiling by array; Non-coding RNA profiling by array

Platforms:

GPL8227 GPL13497

48 Samples

Download data: TXT

(Submitter supplied) MiRNAs are discussed as diagnostic and therapeutic molecules. However, effective miRNA drug treatments with miRNAs are so far hampered by the complexity of the miRNA networks. To identify potential miRNA drugs in colorectal cancer, we profiled miRNA and mRNA expression in matching normal, tumor and metastasis tissues of eight patients by Illumina sequencing. We identified miRNA-1 as top candidate differentially expressed in tumor and metastasis. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing

Platform:

GPL10999

36 Samples

Download data: TXT

(Submitter supplied) Analysis of miRNA expression in human breast cancer samples with Agilent's miRNA arrays. These samples are part of a study where we have investigated the mammalian cell proliferation control network consisting of transcription regulators, E2F and p53, their targets, and a family of 14 microRNAs. We observed that indicative of their significance, expression of these microRNAs is down-regulated in senescent cells and in breast cancers harboring wild-type p53. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL7341

18 Samples

Download data: TXT

(Submitter supplied) There is a distinctive miRNA expression profile between early (young) and replicative senescence (old). We observed a cluster of miRNAs that were repressed upon senescence in both MRC-5 and WI-38 fibroblast cells.

Organism:

Homo sapiens; Mus musculus

Type:

Non-coding RNA profiling by array

Platform:

GPL7327

4 Samples

Download data: GPR

(Submitter supplied) miRNA expression profiles of WI38 primary human fibroblasts with an active or inactive p53. Cells were compared under normal untreated conditions (young and proliferating cells), after DNA damage with Doxorubicin, and upon entry into replicative senescence. Keywords: miRNA, WI-38, p53, GSE56, Senescence, Doxorubicin, Cancer, DNA-damage, fibroblasts.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL7168

12 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; Non-coding RNA profiling by array

Platforms:

GPL24741 GPL13497

79 Samples

Download data: TXT

(Submitter supplied) The human thymus shows a transient involution along the neonatal period and starts a continuous process of decline between the 1st and 2nd years. The immune alterations associated to thymic aging in humans have been extensively investigated, but the genomic mechanisms underlying this process remain largely unknown. Here we conducted a temporal gene co-expression network analysis in the newborn and infant thymic tissue aiming to identify transcriptional modules associated to age.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL24741

29 Samples

Download data: TXT

(Submitter supplied) The human thymus shows a transient involution along the neonatal period and starts a continuous process of decline between the 1st and 2nd years. The immune alterations associated to thymic aging in humans have been extensively investigated, but the genomic mechanisms underlying this process remain largely unknown. Here we conducted a temporal gene co-expression network analysis in the newborn and infant thymic tissue aiming to identify transcriptional modules associated to age.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13497

50 Samples

Download data: TXT

(Submitter supplied) This series studied the patterns of gene expression among different types of gastric tumors. Gastric tumors and adjacent non-tumor normal tissues were obtained from 50 gastric cancer patients of diverse stages (IA, IB, II, IIIA, IIIB, and IV), tumor types (intestinal, diffuse, or mixed), and degree of tumor differentiation (moderately or poorly differentiated). Keywords: Cancer patient samples

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL2912

99 Samples

Download data

(Submitter supplied) Gastric cancer is the most common cancer in Asia and most developing countries. To identify the molecular underpinnings of gastric cancer in the Asian population, we applied an RNA-sequencing approach to gastric tumor and noncancerous specimens to quantitatively characterize the entire transcriptome of gastric cancer (including mRNAs and microRNAs). A multi-layer analysis was then developed to identify multiple types of transcriptional aberrations associated with different stages of gastric cancer, including differentially expressed mRNAs, recurrent somatic mutations and key differentially expressed microRNAs. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing

Platform:

GPL9442

55 Samples

Download data: XLS