Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Liver cancer tissues: tumor tissues vs. non-tumor tissues

ABSTRACT: lncRNAs and mRNAs profiling of tissues from HCC patients comparing tumor tissues with non-tumor tissues. Two-condition experiment, tumors vs. non-tumors. Biological replicates: 7 tumor replicates, 7 non-tumor replicates.

ORGANISM(S): Homo sapiens

SUBMITTER: Chuanhui Cao

PROVIDER: E-GEOD-58043 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Applied Biosystems Human TaqMan Low Density Array (TLDA) in HCC tumor and adjacent non-tumor tissues

Project description:MicroRNAs (miRNAs) are aberrant expressed in hepatocellular carcinoma (HCC) tissue and play a central role in diverse biological processes. We conducted a genome-wide miRNAs screening in 10 pairs of HCC tumor and adjacent non-tumor tissues to test the hypothesis that dysregulation of miRNAs in HCC tumor tissue are partially due to aberrant methylation in relevant miRNAs host genes. Taqman low density arrays were used to examine miRNA profiles in paired HCC tissues, and quantitative RT-PCR was used to validate candidate miRNAs for both discovery and validation sets. A cross-sectional study was conducted in 10 HCC tumor tissues and 10 adjacent non-tumor tissues in Columbia University Medical Center (CUMC), which is approved by the Institutional Review Board.

2014-02-08 | E-GEOD-54751 | biostudies-arrayexpress

Differential miRNA expression profiles betweenHBV-related HCC tumor versus non-tumor liver tissue

Project description:miRNA played an important role in the process of carcinogenesis in HBV related hepatocellular carcinoma. Therefore, we performed miRNA microarray to evaluate the miRNAs that expressed differentially between HCC tumor versus non-tumor liver tissues. RNA was extracted from snap fresh tissue collected from resected HCC tumor and adjacent non-tumor liver tissues. All HCC tumors were HBV-associated HCC.

2015-07-22 | E-GEOD-69580 | biostudies-arrayexpress

mRNA/microRNA expression profiles of HCC or CCC patients' liver, together with those of non-tumor part tissues

Project description:11 CCC and 5 HCC patients' tumor and non-tumor parts tissues are extracted. Then total RNA are purified from tissues and mRNA and miRNA profiles are measured using agilent one color microarrays designed for mRNA or microRNA expression profiles. Tumor and non-tumor parts are extracted from obtained tissues.

2015-12-21 | E-GEOD-57555 | biostudies-arrayexpress

microRNA profile of human liver tissues: hepatocellular carcinoma vs. matched noncancerous liver tissue

Project description:microRNA profiling of hepatocellular carcinoma vs. matched noncancerous liver tissue 166 pairs of hepatocellular carcinoma and matched noncancerous liver tissues

2011-08-15 | E-GEOD-31384 | biostudies-arrayexpress

Spatially variant immune infiltration scoring in human cancer tissues

Project description:The Immunoscore is a method to quantify the immune cell infiltration within cancers to predict the disease prognosis. Previous immune profiling approaches relied on limited immune markers to establish patients’ tumor immunity. However, immune cells exhibit a higher-level complexity that is typically not obtained by the conventional immunohistochemistry methods. Herein, we present a spatially variant immune infiltration score, termed as SpatialVizScore, to quantify immune cells infiltration within lung tumor samples using multiplex protein imaging data. Imaging mass cytometry (IMC) was used to target 26 markers in tumors to identify stromal, immune, and cancer cell states within 26 human tissues from lung cancer patients. Unsupervised clustering methods dissected the spatial infiltration of cells in tissue using the high-dimensional analysis of 16 immune markers and other cancer and stroma enriched labels to profile alterations in the tumors’ immune infiltration patterns. Spatially resolved maps of distinct tumors determined the spatial proximity and neighborhoods of immune-cancer cell pairs. These SpatialVizScore maps provided a ranking of patients’ tumors consisting of immune inflamed, immune suppressed, and immune cold states, demonstrating the tumor’s immune continuum assigned to three distinct infiltration score ranges. Several inflammatory and suppressive immune markers were used to establish the cell-based scoring schemes at the single-cell and pixel-level, depicting the cellular spectra in diverse lung tissues. Thus, SpatialVizScore is an emerging quantitative method to deeply study tumor immunology in cancer tissues.

2022-10-14 | PXD035340 | Pride

Development of lncRNA and Mrna expression signatures for pancreatic ductal adenocarcinoma

Project description:To further development of our lncRNA and mRNA expression approach to pancreatic ductal adenocarcinoma(PDAC), we have employed lncRNA and mRNA microarray expression profiling as a discovery platform to identify lncRNA and mRNA expression in pancreatic ductal adenocarcinoma.Human pancreatic ductal adenocarcinoma tissues and normal pancreatic tissues from PDAC donors and other duodenum diseases donors. analyze mRNA and lncRNA expression in pancreatic ductal adenocarcinoma (PDAC) by microarray platform

2014-11-18 | E-GEOD-57144 | biostudies-arrayexpress

Pseudogene INTS6P1 regulates its cognate gene INTS6 through competitive binding of miR-17-5p in hepatocellular carcinoma [mRNA, lncRNA]

Project description:To identify the novel tumor suppressors in hepatocellular carcinoma (HCC), we have employed whole genome microarray expression profiling as a discovery platform in HCC and paired normal liver tissues to identify genes which down-regulated in HCC. Among which, INTS6 and its pseudogene, namely INTS6P1, were found to be dramatically down-regulated in HCC. The down-regulated expression of INTS6 and INTS6P1 in HCC was further confirmed by real-time PCR. RNA was extracted from 3 pairs of HCC and normal liver tissue harvested from patients to undergo microarray study.

2015-01-03 | E-GEOD-64631 | biostudies-arrayexpress

Differentially expressed miRNAs in colon cancer tissues vs normal colon tissues

Project description:To investigate the role of miRNAs in the progression of colon cancer, we performed comprehensive miRMA microarray analysis on RNA derived from colon cancer tissues and normal colon tissues. We identified a novel set of colon cancer-related miRNAs. Total RNA was isolated from colon cancer tissues and normal colon tissues. Six-condition experiment: H normal tiss vs. H tumor tissue, S normal tiss vs. S tumor tissue, W1 normal tiss vs. W1 tumor tissue, M normal tiss vs. M tumor tissue, W2 normal tiss vs. W2 tumor tissue, and Y normal tiss vs. Y tumor tissue. Biological replicates: 1H normal tiss, 1H tumor tissue, 1S normal tissM-oM-<M-^L1S tumor tissue, 1W1 normal tissM-oM-<M-^L1W1 tumor tissue, 1M normal tissM-oM-<M-^L1M tumor tissue, 1W2 normal tissM-oM-<M-^L1W2 tumor tissue, 1Y normal tiss and 1Y tumor tissue, independently grown and harvested. One replicate per array.

2013-12-16 | E-GEOD-53339 | biostudies-arrayexpress

Profiling of lncRNAs and protein-coding RNAs in colorectal cancer and of MYC-regulated lncRNAs and protein-coding RNAs

Project description:The Arraystar Human LncRNA Array v2.0 was designed for researchers who were interested in profiling both LncRNAs and protein-coding RNAs in human genome. 33,045 LncRNAs were collected from the authoritative data sources including RefSeq, UCSC knowngenes, Ensembl and many related literatures. This experiment is to profile lncRNAs and protein-coding RNAs using Arraystar Human LncRNA Array v2.0. Identification of coding RNAs and lncRNAs that are diffrentially expressed in colorectal cancer by comparing sample A-E (normal colorectal cells) vs sample F-J (colorectal tumor cells) and c-MYC-regulating lncRNAs by comparing sample 1-3 (triplicate of HCT116 cells treated with control siRNA) vs sample 4-6 (triplicate of HCT116 cells treated with siRNA targeting MYC) and sample 7-9 (triplicate of RKO cells treated with control siRNA) vs sample 10-12 (triplicate of RKO cells treated with siRNA targeting MYC) .

2013-09-20 | E-GEOD-39846 | biostudies-arrayexpress

Gene expression signatures for bladder cancer tissues and normal adjacent tissues

Project description:To identify aberrantly expressed long intergenic noncoding RNAs (lincRNAs) in bladder cancer tissues compared with normal adjacent tissues, we have employed microarray expression profiling as a discovery platform to identify lincRNAs that may play important roles in bladder cancer origin and progression. Samples of fresh frozen cancer tissues, together with normal adjacent tissues (3 cm away from the tumor), were obtained during surgical resection, and total RNA was extracted for microarray analysis. Two pairs of fresh frozen bladder cancer tissues and corresponding normal adjacent tissues were used in the microarray analysis.

2014-09-22 | E-GEOD-61615 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data