Project description:To reveal the HNRNPAB-regulated lncRNAs, we performed microarray analyses to screen differential lncRNAs in HCC cells after stable overexpression or knockdown of HNRNPAB. MHCC97H and HCCLM3 (HCC cell lines with high-metastatic potentials), PLC/PRF/5 and HepG2 (HCC cell lines with low-metastatic potentials) were used in this study. HepG2-control, HepG2-hnRNPAB, PLC/PRF/5-control, PLC/PRF/5-hnRNPAB, MHCC97H-control, MHCC97H-sh-hnRNPAB, HCCLM3-control, HCCLM3-sh-hnRNPAB were perpared with hU6-MCS-CBh-gcGFP-IRES-puromycin-shRNA-HNRNPAB/mock lentiviral and Ubi-MCS-SV40-EGFP-IRES-puromycin-HNRNPAB/mock cDNA lentiviral,respectively, each performed in triplicate.
Project description:Goal for this study is to identified miRNA involved in metastasis development using PLC8024 and MHCC97H derived cell lines. PLC8024 derived cell lines, PLC-PT (Primary Tumor) and PLC-LM (Lung Metastasis), and MHCC97H derived cell lines, MHCC97H-PT and MHCC97H-LM were compared using the Ncode miRNA microarray platform. The experiment were repeat twice with dye-swap.
Project description:The proteomic profiling of nine commonly used HCC cell lines Hep3B, HepG2, HepG2.2.15, HUH7, PLC/PRF/5, MHCC97L,MHCC97H,HCCLM3 and HCCLM6
Project description:It is known that exosomes (endosome derived vesicles) play important roles in the formation of the tumor microenvironment. Hepatocellular carcinoma (HCC) is a highly malignant cancer, whose malignancy is largely influenced by the tumor microenvironment. The possible role and the specific content of the HCC derived exosomes are however largely unknown. We performed super-SILAC-based mass spectrometry (MS) analyses to interrogate the differential proteins in the exosome of three human HCC cell lines, MHCC97H, MHCCLM3 and Hep3B cells. Exosomal proteins were systematically compared with multi-omics strategies, considering both proteomics and translatomics. With stringent data quality control (quantified unique peptides ≥ 2, FDR ≤ 0.01 at both protein and peptide level), 1907 exosomal proteins were confidently identified from the three HCC cell lines, out of which 469 and 443 exosomal proteins significantly altered in the highly malignant cell lines (MHCC97H/Hep3B and MHCCLM3/Hep3B), respectively. ClueGo and IPA analyses on the differentially expressed proteins (DEPs) revealed that translation and ubiquitination biological processes pathways were significantly more encapsulated in the exosome of higher malignant cell lines. We further observed significantly negative correlation of exosomal protein to cellular protein and translating mRNA in terms of relative abundances comparing the higher malignant cell lines with the low malignant cell line. The negatively correlated genes are also translation regulation-centric. In conclusion, we demonstrated that the exosomal enrichment of translation regulatory proteins is related to the malignant level of HCC cells.
Project description:To investigate the function of EGR1 in HCC growth, we established EGR1 knock out MHCC97H cells by CRISPR/Cas9 system and EGR1-overexpressing PLC/PRF5 cells. We then performed gene expression profiling analysis using data obtained from RNA-seq of EGR1 knock out MHCC97H cells and parental MHCC97H cells, EGR1-overexpressing PLC/PRF5 cells and control PLC/PRF5 cells.
Project description:HNRNPC plays an important role in HCC metastasis, HNRNPC knockdown by specific shRNA (HNRNPC-shRNA) significantly inhibited the migration and invasion of MHCC97H cells, while HNRNPC overexpression exerted the opposite effect. To elucidate the mechanisms by which HNRNPC facilitated HCC metastasis, we performed microarray analysis to compare the transcription profiling between the MHCC97H-shcontrol and MHCC97H-shHNRNPC cells.
Project description:microRNA exprssion profiling of HCC comparing primary tumor with lung metastasis. To explore differentially expressed microRNAs involved in process of HCC metastasis, and identify their biological functions. Two-condition experiment, primary tumor specimens vs. lung metastasis specimens. Biological replicates: 3 primary tumor replicates, 3 lung metastatic replicates. One replicate per array.
Project description:To explore functionally crucial tumor-suppressive (TS)-miRNAs in hepatocellular carcinoma (HCC), we performed integrative function- and expression-based screenings of TS-miRNAs in six HCC cell lines. The screenings identified seven miRNAs, which showed growth-suppressive activities through the overexpression of each miRNA and were endogenously downregulated in HCC cell lines. Further expression analyses using a large panel of HCC cell lines and primary tumors demonstrated four miRNAs, miR-101, -195, -378 and -497, as candidate TS-miRNAs frequently silenced in HCCs. Among them, two clustered miRNAs miR-195 and miR-497 showed significant growth-suppressive activity with induction of G1 arrest. Comprehensive exploration of their targets using Argonute2-immunoprecipitation-deep-sequencing (Ago2-IP-seq) and genome-wide expression profiling after their overexpression, successfully identified a set of cell-cycle regulators, including CCNE1, CDC25A, CCND3, CDK4, and BTRC. Our results suggest the molecular pathway regulating cell cycle progression to be integrally altered by downregulation of miR-195 and miR-497 expression, leading to aberrant cell proliferation in hepatocarcinogenesis. Screening of frequently downregulated miRNAs by comparing endgeneous expression status of miRNAs in 6 HCC cell lines with 2 normal livers Expression analysis using total RNAs extracted from standard medium conditioned 6 HCC cell lines, and 2 normal livers derived from patients with hepatectomy due to metastatic liver tumor
Project description:To look at genes/pathways differentially expressed in metastatic and primary tumor cells we performed global gene expression profiling of the 3 sets of HNSCC lines derived from primary tumors and matched metastatic sites. Illumina HT-12 v4 BeadChip arrays were used. The data suggest that HNSCC lines derived from metastatic sites exhibit phenotypes distinct from those found in cells derived from the corresponding primary tumors. Metastatic cell lines upregulated several pathways involved in stem cell self-renewal, invasion and migration, which are well known characteristics of metastatic progression. We conclude that the cell lines derived from primary patient tumors and matched metastatic sites represent a reliable model to study HNSCC metastasis.