Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Left ventricular myocardial transcriptomic profiling for target discovery in a rat model of pressure overload-induced heart failure

ABSTRACT: Left ventricular myocardial transcriptomic profiling was performed in rats subjected to transverse aortic constriction (TAC)-induced heart failure and sham-operated controls to investigate gene expression changes associated with pressure overload-induced cardiac remodeling. The dataset was used in studies investigating novel molecular targets in heart failure, including G-protein-coupled receptor (GPCR)-associated pathways and microRNA-regulated target networks.

INSTRUMENT(S): NextSeq 500

ORGANISM(S): Rattus norvegicus

SUBMITTER: Tímea Bálint

PROVIDER: E-MTAB-17114 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Droplet Digital PCR Is a Novel Screening Method Identifying Potential Cardiac G-Protein-Coupled Receptors as Candidate Pharmacological Targets in a Rat Model of Pressure-Overload-Induced Cardiac Dysfunction.

Sayour Nabil V NV Tóth Viktória É VÉ Nagy Regina N RN Vörös Imre I Gergely Tamás G TG Onódi Zsófia Z Nagy Noémi N Bödör Csaba C Váradi Barnabás B Ruppert Mihály M Radovits Tamás T Bleckwedel Federico F Zelarayán Laura C LC Pacher Pal P Ágg Bence B Görbe Anikó A Ferdinandy Péter P Varga Zoltán V ZV

International journal of molecular sciences 20230907 18

The identification of novel drug targets is needed to improve the outcomes of heart failure (HF). G-protein-coupled receptors (GPCRs) represent the largest family of targets for already approved drugs, thus providing an opportunity for drug repurposing. Here, we aimed (i) to investigate the differential expressions of 288 cardiac GPCRs via droplet digital PCR (ddPCR) and bulk RNA sequencing (RNAseq) in a rat model of left ventricular pressure-overload; (ii) to compare RNAseq findings with those ...[more]

PMID: 37762130

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Project description:Background: Osteosarcomas are the most common primary malignant tumors of bone and show multiple and complex genomic aberrations. miRNAs are non-coding RNAs capable of regulating gene expression at the post transcriptional level, and miRNAs and their target genes may represent novel therapeutic targets or biomarkers for osteosarcoma. In order to investigate the involvement of miRNAs in osteosarcoma development, global microarray analyses of a panel of 19 human osteosarcoma cell lines was performed. Principal findings: We identified 177 miRNAs that were differentially expressed in osteosarcoma cell lines relative to normal bone. Among these, miR-126/miR-126*, miR-142-3p, miR-150, miR-223, miR-486-5p and members of the miR-1/miR-133a, miR-144/miR-451, miR-195/miR-497, and miR-206/miR-133b clusters were found to be downregulated in osteosarcoma cell lines. All miRNAs in the paralogous clusters miR-17-92, miR-106b-25 and miR-106a-92 were overexpressed. Furthermore, the upregulated miRNAs included miR-9/miR-9*, miR-21*, miR-31/miR-31*, miR-196a/miR-196b, miR-374a and members of the miR-29, miR-130/301 families. The most interesting inversely correlated miRNA/mRNA pairs in osteosarcoma cell lines included miR-9/TGFBR2 and miR-29/the p85M-NM-1 regulatory subunit of PI3K. PTEN mRNA correlated inversely with miR-92a and members of the miR-17 and miR-130/301 families. Expression profiles of selected miRNAs were confirmed in clinical samples. A set of miRNAs, miR-1, miR-18a, miR-18b, miR-19b, miR-31, miR-126, miR-142-3p, miR-133b, miR-144, miR-195, miR-223, miR-451 and miR-497 was identified with an intermediate expression level in osteosarcoma clinical samples compared to osteoblasts and bone, which may reflect the differentiation level of osteosarcoma relative to the undifferentiated osteoblast and fully differentiated normal bone. Significance: This study provides an integrated analysis of miRNA and mRNA in osteosarcoma, and gives new insight into the complex genetic mechanisms of osteosarcoma development and progression. 19 osteosarcoma cell lines, 4 normal bones used as controls. No replicates. The group of osteosarcomas are compared to the group of normal bones.

Dataset Information

Left ventricular myocardial transcriptomic profiling for target discovery in a rat model of pressure overload-induced heart failure

Publications

Droplet Digital PCR Is a Novel Screening Method Identifying Potential Cardiac G-Protein-Coupled Receptors as Candidate Pharmacological Targets in a Rat Model of Pressure-Overload-Induced Cardiac Dysfunction.

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