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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Exogenous BRCT-GST of PARP1 bind to wild-type p53. p53 was overexpressed after UV treatment in U2OS.

ABSTRACT: Exogenous BRCT-GST in U2OS bind to wild-type p53 in a phosphorylation-dependent manner, after UV treatment. BRCT-GST fusion protected cells from apoptotic cell death and impact of miRNAs responsive to p53 activation.

ORGANISM(S): Homo sapiens

SUBMITTER: Marco Galasso

PROVIDER: E-MTAB-3628 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Exogenous BRCT-GST of PARP1 bind to wild-type p53. p53 was overxpressed after UV treatment in U2OS.

Project description:Exogenous BRCT-GST in U2OS bind to wild-type p53 in a phosphorylation-dependent manner, after UV treatment. BRCT-GST fusion protected cells from apoptotic cell death.

2022-12-30 | E-MTAB-3619 | biostudies-arrayexpress

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Project description:MicroRNA (miRNA) expression profiles for lung cancers were examined to investigate the miRNA involvement in lung carcinogenesis. miRNA microarray analysis identified statistical unique profiles, which could discriminate lung cancers from noncancerous lung tissues.

2005-12-31 | E-TABM-47 | biostudies-arrayexpress

MicroRNA profiling of peripheral blood mononuclear cells from CLL patients to identify a signature for specific chromasomal abnormalities (OSU-CCC microRNA array)

Project description:We studied the value of the microRNAs as a signature for CLL patients with specific chromosomal abnormalities. We identified 32 microRNAs able to discriminate the 11q deletion, 17p deletion, trisomy 12, and 13q deletion and normal karyotype cytogenetic subgroups. The expression values of 9 among the 32 microRNAs (miR-151-3p, miR-34a, miR-29c, miR-29b, miR-155, miR-148a, miR-146a, miR-146b5p and miR-640) were correlated with genes expression data from the same samples to assess their biological impact on CLL. In this study we also found that IGHV unmutated, high expression of ZAP-70 protein and low expression of the miR-223, miR-29c, miR-29b, and miR-181 family were strongly associated with disease progression in CLL cases harboring 17p deletion; whereas in those harboring trisomy 12 only high expression of the miR-181a, among the analyzed parameters, suggested more aggressive disease. Thus, the use of the microRNA-based classifications may yield clinically useful bio-markers of tumor behavior in CLL.

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MicroRNA profiling of human chronic lymphocytic leukemia samples to identify whether microRNA profiles are prognostic indicators

Project description:MicroRNA expression profiles can distinguish normal B cells from malignant B cells in chronic lymphocytic leukemia (CLL). We investigated whether microRNA profiles are associated with known prognostic factors in CLL. We evaluated the microRNA expression profiles of 94 samples of CLL cells for which ZAP-70 expression, mutations in the rearranged IgVH gene, and the time from diagnosis to initial treatment were known. We also investigated the presence of abnormalities in the genomic sequence of 42 microRNA genes.

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Transcription profiling of human breast cancer cell lines and tissue samples to identify aberrant microRNA expression

Project description:MicroRNAs are a class of small non-coding RNAs that control gene expression by targeting messenger RNAs and triggering either translation repression or RNA degradation. Their aberrant expression may be involved in human diseases, including cancer. Indeed, microRNA aberrant expression has been previously found in human chronic lymphocytic leukemias, where microRNA signatures were associated with specific clinico-biological features. Here, we show that, in comparison to normal breast tissue, microRNAs are also aberrantly expressed in human breast cancer. The overall microRNA expression could clearly separate normal versus cancer tissues, with the most significantly deregulated microRNAs being mir-125b, mir-145, mir-21, mir-155. Results were confirmed by microarray and Northern blot analyses. We could identify microRNAs whose expression was correlated with specific breast cancer bio-pathologic features, such as estrogen and progesterone receptor expression, tumor stage, vascular invasion or proliferation index.

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