Ontology highlight
ABSTRACT:
PROVIDER: PRJNA169517 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Transcriptional profiling of gastric tumors compared to paired adjacent non-tumoral gastric tissue by two strategies. The first strategy is a conventional microarray assay, while the second strategy involves a previous Suppression Subtractive Hybridization (SSH) followed by a conventional microarray assay. We applied subtractive hybridization followed by microarray analysis to identify tumor-specific low-abundance transcripts. The goal was to determine differences in gene expression profile in tumor samples by both strategies. Two-condition experiment: tumoral vs. adjacent non-tumoral tissues. Biological replicates: 12 tumoral replicates, 12 non-tumoral replicates. The same replicates were used for both strategies (conventional, SSH). Human Universal Reference RNA (Clontech) was used as the reference.
2012-06-26 | E-GEOD-38932 | biostudies-arrayexpress
Project description:Human Tissues: pancreatic cancer vs. pancreatic non-tumoral tissues
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Project description:This SuperSeries is composed of the following subset Series: GSE33335: Expression data from gastric tissues: Cancer Samples vs. Matched Adjacent Noncancerous Samples GSE33428: Copy number variation profiling of gastric tissues: Cancer Samples vs. Matched Adjacent Noncancerous Samples Refer to individual Series
2012-05-22 | E-GEOD-33429 | biostudies-arrayexpress
Project description:CapitalBio Technology Human LncRNA Array v4, 4x180K was used to detect lncRNA expression in CRC tissues compared with their matched non-tumoral tissues. Here we report significantly up-regulated as well as down-regulated lncRNAs in CRC tissues compared with their matched non-tumoral tissues.
2022-07-25 | GSE134834 | GEO
Project description:ArrayStar Human LncRNA/mRNA Expression Microarray Version 3.0 was used to detect lncRNA expression in CRC tissues compared with their matched non-tumoral tissues. Here we report significantly up-regulated as well as down-regulated lncRNAs in CRC tissues compared with their matched non-tumoral tissues.
2019-07-20 | GSE134525 | GEO
Project description:The circRNAs expression profiles in 5 gastric cancer (GC) and their matched non-gastric cancer (non-GC) tissues were detected by human circRNA expression profile chips, and the differentially expression circRNAs between GC and matched non-GC tissues were then identified. A total of 713 circRNAs were differentially expressed in GC tissues vs. non-GC tissues (fold change≥2.0, p<0.05) among all the candidate circRNAs (62998) detected in both GC and non-GC tissues according to the T-test. 191/713 circRNAs were significantly upregulated in GC tissues, whereas 522/713 circRNAs were significantly downregulated in GC tissues. GO and KEGG pathway analyses showed that many dysregulated circRNAs may be functionally GC-related, thereby contributing to the development of GC.
2017-06-19 | GSE100170 | GEO
Project description:Long non-coding RNAs (lncRNAs) may contribute to tumorigenesis and cancer progression by regulating the gene in various cancers, including advanced gastric cancer (AGC). To investigate differentially expressed lncRNAs in AGC, we use whole transcriptome sequencing in 3 pairs of human gastric adenocarcinoma and the corresponding normal tissues.
2023-08-10 | GSE210909 | GEO
Project description:Expression data from gastric tissues: Cancer Samples vs. Matched Adjacent Noncancerous Samples
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Project description:Copy number variation profiling of gastric tissues comparing gastric cancer tissues with matched adjacent noncancerous tissues. Goal was to determine the effects of chromosomal imbalances on gene expression and carcinogenesis or progression. 27 pairs of gastric tissues: gastric cancer tissues vs. matched adjacent noncancerous tissues.
2012-05-22 | E-GEOD-33428 | biostudies-arrayexpress
Project description:Early gastric cancers (EGC) precede advanced gastric cancers (AGC) with a favorable clinical outcome compared to advanced gastric cancers (AGC). To understand the progression mechanisms of EGC to AGC, it is required to disclose the EGC and AGC genomes in terms of the the mutational and evolutionary perspectives. In this study, we performed whole-exome sequencing and copy number profiling of nine microsatellite (MS)-unstable (MSI-H) (5 EGC and 4 AGC) and eight MS-stable (MSS) gastric cancers (4 EGC and 4 AGC). Unexpectedly, we observed no substantial differences in the number, sequence composition and functional consequences (potential driver mutations and affected pathways) of the mutations and CNAs between EGC and AGC genomes in both MSI-H and MSS cases. Gastrectomy tissues from 17 GC patients were used for this study. The hospital pathology department confirmed pathologic features of the GC (e.g., EGC vs. AGC, differentiation, lymph node metastasis and TNM stage). All of the picked areas from tumor and normal areas were frozen, cut, and stained with hematoxylin & eosin (H&E). Two pathologists selected cases with rich tumor cell population (at least 60%), which were subsequently used in the study. Copy number profiling was performed using Agilent 180K platform according to the manufacturer's protocol.
2014-06-30 | E-GEOD-57176 | biostudies-arrayexpress