Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA138857 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:MicroRNAs are a group of non-coding small RNAs with lengths around 21~23nt and function as inhibitors to repress mRNA translation by targeting their 3' untranslated region. Recent research shows that microRNAs are involved in many biological processes such as cell growth, development and cancer, etc. Here, we introduce a novel artificial microRNA p-27-5p which can inhibit cell proliferation in breast cancer cell lines. This data shows the expression changes in breast cancer cell line T-47D with the effect of artificial miR-p-27-5p. 4 total samples were analyzed. We generated mimic/control paired samples with 2 repeats.
2013-04-15 | E-GEOD-28657 | biostudies-arrayexpress
Project description:MicroRNAs are a group of non-coding small RNAs with lengths around 21~23nt and function as inhibitors to repress mRNA translation by targeting their 3' untranslated region. Recent research shows that microRNAs are involved in many biological processes such as cell growth, development and cancer, etc. Here, we introduce a novel artificial microRNA p-27-5p which can inhibit cell proliferation in breast cancer cell lines. This data shows the expression changes in breast cancer cell line T-47D with the effect of artificial miR-p-27-5p.
2013-04-15 | GSE28657 | GEO
Project description:Breast Cancer is the cancer with most incidence and mortality in women. microRNAs are emerging as novel prognosis/diagnostic tools. Our aim was to identify a serum microRNA signature useful to predict cancer development. We focused on studying the expression levels of 30 microRNAs in the serum of 96 breast cancer patients versus 92 control individuals. Bioinformatic studies provide a microRNA signature, designated as a predictor, based upon the expression levels of 5 microRNAs. Then, we tested the predictor in a group of 60 randomly chosen women. Lastly, a proteomic study unveiled the over-expression and down-regulation of proteins differently expressed in the serum of breast cancer patients versus that of control individuals. Twenty-six microRNAs differentiate cancer tissue from healthy tissue and 16 microRNAs differentiate the serum of cancer patients from that of the control group. The tissue expression of miR-99a-5p, mir-497-5p, miR-362, and miR-1274, and the serum levels of miR-141 correlated with patient survival. Moreover, the predictor consisting of mir-125b-5p, miR-29c-3p, mir-16-5p, miR-1260, and miR-451a was able to differentiate breast cancer patients from controls. The predictor was validated in 20 new cases of breast cancer patients and tested in 60 volunteer women, assigning 11 out of 60 women to the cancer group. An association of low levels of mir-16-5p with a high content of CD44 protein in serum was found. Circulating microRNAs in serum can represent biomarkers for cancer prediction. Their clinical relevance and use of the predictor here described might be of potential importance for breast cancer prediction.
2020-09-18 | PXD020795 | Pride
Project description:Cytosine deamination to uracil in DNA leads to mutations if the DNA lesion is not corrected. Base excision repair (BER) initiated by single-strand selective uracil-DNA glycosylase 1 (SMUG1) primarily recognizes uracil and oxidized pyrimidines, and processes them to restore the correct bases. SMUG1 status has been associated with cancer risk and therapeutic response as high levels of SMUG1 were observed in breast carcinomas and other cancer types. The role of SMUG1 in breast cancer is not completely understood. Here, we define a bad prognosis signature for SMUG1 interactors in different cancers by mapping out a SMUG1 interaction network. Survival analyses of patient outcomes show that high expression of genes in the bad prognosis network correlates with lower survival probability in breast cancer. Interestingly, bioinformatics analyses suggested let-7b-5p microRNA as one of the upstream regulators of SMUG1 interactors. Expression of SMUG1 and let-7b-5p are negatively correlated in breast cancer and we observed an inhibitory auto-regulatory loop between SMUG1 and let-7b-5p in MCF-7 cells. Hence, SMUG1 is a key player connecting RNA and DNA metabolism with regulation of gene expression.
2023-03-09 | PXD025929 | Pride
Project description:microRNA (miRNA) dysfunction is associated with a variety of human diseases including cancer. Our previous study showed that miR-671-5p was deregulated during breast cancer progression. We aim to decipher the functional mechanism of miR- 671-5p in breast cancer. We used microarrays to detail the global programme of gene expression after overexpression miR-671-5p in several breast cancer cell lines, and those altered genes might potentially under regulation of miR-671-5p contibuting to breast cancer developemtn. miR-671-5p or scramble control nucleotide were tranfected into breast cancer cell lines, including MCF7, MDA231 and SKBR3. Total RNA were extracted and hybridized on Affymetrix microarrays. We sought to identify the potential downstream target genes that under miR-671-5p regulation by overexpress miR-671-5p. Potential targets were predicted to see if it has binding sites matching miR-671-5p sequence by miRNA target prediction softwares.
2014-10-16 | E-GEOD-62411 | biostudies-arrayexpress
Project description:microRNA (miRNA) dysfunction is associated with a variety of human diseases including cancer. Our previous study showed that miR-671-5p was deregulated during breast cancer progression. We aim to decipher the functional mechanism of miR- 671-5p in breast cancer. We used microarrays to detail the global programme of gene expression after overexpression miR-671-5p in several breast cancer cell lines, and those altered genes might potentially under regulation of miR-671-5p contibuting to breast cancer developemtn.
2014-10-16 | GSE62411 | GEO
Project description:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs.
2010-09-25 | GSE24338 | GEO
Project description:Kynureninase is a member of a large family of catalytically diverse but structurally homologous pyridoxal 5'-phosphate (PLP) dependent enzymes known as the aspartate aminotransferase superfamily or alpha-family. The Homo sapiens and other eukaryotic constitutive kynureninases preferentially catalyze the hydrolytic cleavage of 3-hydroxy-l-kynurenine to produce 3-hydroxyanthranilate and l-alanine, while l-kynurenine is the substrate of many prokaryotic inducible kynureninases. The human enzyme was cloned with an N-terminal hexahistidine tag, expressed, and purified from a bacterial expression system using Ni metal ion affinity chromatography. Kinetic characterization of the recombinant enzyme reveals classic Michaelis-Menten behavior, with a Km of 28.3 +/- 1.9 microM and a specific activity of 1.75 micromol min-1 mg-1 for 3-hydroxy-dl-kynurenine. Crystals of recombinant kynureninase that diffracted to 2.0 A were obtained, and the atomic structure of the PLP-bound holoenzyme was determined by molecular replacement using the Pseudomonas fluorescens kynureninase structure (PDB entry 1qz9) as the phasing model. A structural superposition with the P. fluorescens kynureninase revealed that these two structures resemble the "open" and "closed" conformations of aspartate aminotransferase. The comparison illustrates the dynamic nature of these proteins' small domains and reveals a role for Arg-434 similar to its role in other AAT alpha-family members. Docking of 3-hydroxy-l-kynurenine into the human kynureninase active site suggests that Asn-333 and His-102 are involved in substrate binding and molecular discrimination between inducible and constitutive kynureninase substrates.
| S-EPMC2531291 | biostudies-literature
Project description:27-Hydroxycholesterol links cholesterol and breast cancer pathophysiology.
| PRJNA203044 | ENA
Project description:RNA extracted at 240min. Samples are rRNA depleted. Expression measurement of Homo sapiens genes.
2019-07-31 | GSE114179 | GEO