Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Modeling Pathogenesis of Primary Liver Cancer in Lineage Specific Cell Types

ABSTRACT: Classification of human liver cancer into biologically distinct subgroups suggests origin from different hepatic lineage cells. To clarify contribution of lineage stage in liver oncogenesis, we transduced H-Ras and SV40LT into hepatic progenitor cells (HPC), hepatoblasts (HB) and terminally differentiated adult hepatocytes (AH). Regardless of origin, all transformed cell types acquired common cancer stem cell characteristics in vitro and in vivo. However, expression analysis distinguished tumors of different cellular origin underscoring the contribution of lineage/stage-dependent genetic changes in malignant transformation. Notably, AH-derived tumors showed specific enrichment of c-Myc target genes. These data establish that any hepatic lineage cell can be a target for transformation and acquire common cancer stem cell traits via activation of diverse cell type specific pathways. Profiling of individual tumors derived by Ras/SV40 transformation of hepatic progenitor cell (oval cells), hepatoblasts (fetal) and adult hepatocytes

ORGANISM(S): Mus musculus

SUBMITTER: Jesper Andersen

PROVIDER: E-GEOD-41312 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Recent studies suggested that embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs) may represent different pluripotent states as defined by gene expression profiles and differentiation potential. Here we addressed a contribution of a lineage stage-specific donor cell memory in modulating the functional properties of iPSCs. iPSCs were generated from hepatic lineage cells at an early (hepatoblast-derived, HB-iPSCs) and end stage (adult hepatocyte, AH-iPSCs) of hepatocyte differentiation as well as from mouse fetal fibroblasts (MEF-iPSCs) using a lentiviral vector encoding four pluripotency-inducing factors Oct4, Sox2, Klf4, and c-Myc. All resulting iPS cell lines acquired iPSCs phenotype as judged by the accepted criteria including morphology, expression of pluripotency markers, silencing of transducing factors, capacity of multilineage differentiation in teratoma assay and normal diploid karyotype. However, hepatoblasts were more susceptible to reprogramming than either AH or MEF, and HB-iPSCs were more efficient in directed differentiation towards hepatocytic lineage as compared to AH-iPSCs, MEF-iPSCs or mESCs. Extensive comparative transcriptome analyses of the early passage iPSCs, donor cells and mESCs revealed that despite global similarities in gene expression patterns between generated iPSCs and mESCs, HB-iPSCs retained a transcriptional memory (7 up- and 20 down-regulated genes) typical of the original cells. Continuous passaging of HB-iPSCs abolished most of these differences including a superior capacity of hepatic re-differentiation. These results suggest that retention of lineage stage-specific donor memory in iPSCs may facilitate differentiation into donor cell type. The identified gene set may be helpful to improve hepatic differentiation for therapeutic application in liver disease modeling. A total of 200 ng RNA from four independent biological replicates of MACS-sorted mESC and iPSC were linearly amplified according to manufactures’ specification (Ambion, Austin, Tx,). For in vitro transcription (IVT), reactions were incubated for 16 h at 37ºC. The efficiency of the single round amplification was measured by NanoDrop (ND1000, Thermo Scientific). Hybridization, washing, detection (Cy3-streptavidin, Amersham Biosciences, GE Healthcare), and scanning were performed on an illumina iScan system (Illumina) using reagents and following protocols supplied by the manufacturer. The biotinylated cRNA (750 ng/sample) was hybridized on Sentrix beadchips human Ref-8v3 for 18 h at 58ºC while rocking (5 rpm).

Project description:Genomic analysis of human hepatocellular carcinoma (HCC) is potentially confounded by the differentiation state of the hepatic cell-of-origin. Here we integrated genomic analysis of mouse HCC (with defined cell-of-origin) along with normal liver development. We found a major shift in expression of Wnt and RXR-Î± pathway genes (up and down, respectively) coincident with the transition from hepatoblasts to hepatocytes. A combined Wnt and RXR-Î± gene signature categorized HCCs into two subtypes (high Wnt, low RXR-Î± and low Wnt, high RXR-Î±), which matched cell-of-origin in mouse models and the differentiation state of human HCC. Suppression of RXR-Î± levels in hepatocytes increased Wnt signaling and enhanced tumorigenicity, whereas ligand activation of RXR-Î± achieved the opposite. These results corroborate that there are two main HCC subtypes that correspond to the degree of hepatocyte differentation and that RXR-Î±, in part via Wnt signaling, plays a key functional role in the hepatocyte-like subtype and potentially could serve as a selective therapeutic target. Total RNA from whole livers taken at different developmental timepoints (embryonic day 14, embryonic day 18, post-natal day 5 and post-natal day 56) along with hepatoblasts isolated from E14 livers and immature hepatocytes isolated from E18 livers was extracted and purified using the Qiagen RNeasy Mini Kit. RNA purity and integrity were assayed by the Bioanalyser 2100 (Agilent Technologies). For each sample, 2 Âµg of total RNA was reverse transcribed and amplified by using an RNA amplification kit from Ambion. Fifteen micrograms of amplified RNA were labeled by direct chemical coupling to the Cy5 NHS ester (Amersham Biosciences). Normal adult mouse liver (Agilent) was used as control and Cy3 labeled. Labeled RNAs were purified, fragmented, and used as probes to hybridize microarrays. Gene expression profiling was done with the 4x44k mouse Agilent platform. Expression profiling of the 23 human HCC samples was previously described

Dataset Information

Modeling Pathogenesis of Primary Liver Cancer in Lineage Specific Cell Types

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure