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Characterization of the small RNA transcriptomes of cell protrusions and cell bodies of highly metastatic hepatocellular carcinoma cells via RNA sequencing.

ABSTRACT: Increasing evidence suggest that hepatocellular carcinoma (HCC) HCCLM3 cells initially develop pseudopodia when they metastasize, and microRNAs (miRNAs/miRs) and circular RNAs (circRNAs) have been demonstrated to serve important roles in the development, progression and metastasis of cancer. The present study aimed to isolate the cell bodies (CBs) and cell protrusions (CPs) from HCCLM3 cells, and screen the miRNAs and circRNAs associated with HCC infiltration and metastasis in CBs and CPs. The Boyden chamber assay has been confirmed to effectively isolate the CBs and CPs from HCCLM3 cells via observation of microtubule immunofluorescence, DAPI staining and nuclear protein H3 western blotting. Following high-throughput sequencing of the successfully isolated CBs and CPs, 64 pairs of miRNAs, including 23 pairs of upregulated genes and 41 pairs of downregulated genes, and 260 sets of circRNAs, including 127 upregulated genes and 133 downregulated genes, were significantly differentially expressed, using the following criteria: HP/HB ratio, fold change ≥|1.5|, P<0.05). PCR analysis verified that changes in the expression levels of hsa-let-7a-5p, hsa-let-7c-3p, hsa-miR-30c-5p, hsa_circ_0059580, hsa_circ_0067475, hsa_circ_0002100 and hsa_circ_00072309 were consistent with the sequencing results. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were performed to analyze the functions and roles of the differentially expressed miRNAs and circRNAs. The interaction maps between miRNAs and circRNAs were constructed, and signaling pathway maps were analyzed to determine the molecular mechanism and regulation of the differentially expressed miRNAs and circRNAs. Taken together, the results of the present study suggest that the Boyden chamber assay can be used to effectively isolate the somatic CBs and CPs of HCC, which can be used to screen the miRNAs and circRNAs associated with invasion and metastasis of HCC.

SUBMITTER: Cai W

PROVIDER: S-EPMC8185705 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundOrgan-specific gene expression contains rich information about in vivo biological processes. This kind of information, previously gathered through microarray profiling, has been proven fruitful to the understanding of specific mutants, regulatory events, signaling, and development. With the advent of the next-generation sequencing (NGS) of RNAs, more quantitative and detailed information of gene expressions than previously available can now be collected for each organ or organ developmental stages. The combination of an object-oriented experimental design and an efficient treatment of the high volume information generated through a NGS platform may offer a powerful tool for inferring previously intractable developmental processes.ResultsWe collected transcriptomic data over a Solexa/Illumina platform on samples of Ipomoea leaf, sepal, and petals (at three developmental stages), and presented a method for analyzing transcriptomic variations within and between organs. We demonstrated that in vivo signals of transcriptomes can be retrieved de novo through the NGS techniques, proper data handling, bioinformatic tools, and the current understanding of molecular networks. We found that numbers of transcribed genes from both nuclear and chloroplast genomes decreased by the same order of leaf → sepal →petal. Petal resembled leaf in cell division patterns and abundance level of commonly expressed organelle genes. Its chloroplast transcripts constituted a subset of those in leaf. Moreover, reconstructions of multiple metabolic networks for each organ enabled inferences of substance flow, providing transcript evidence for the path of sucrose in leaf to anthocyanin synthesis in petal.ConclusionOur results attest that developmental transcriptomes are highly informative for exploring connections between morphological traits and the associated molecular networks. Significant hypotheses have been developed, including that the petal is a derived organ of leaf and that its color can be modified by fluctuations of substance flow within the associated metabolic networks among organs.

Project description:BACKGROUND:The implication of post-transcriptional regulation by microRNAs in molecular mechanisms underlying cancer disease is well documented. However, their interference at the cellular level is not fully explored. Functional in vitro studies are fundamental for the comprehension of their role; nevertheless results are highly dependable on the adopted cellular model. Next generation small RNA transcriptomic sequencing data of a tumor cell line and keratinocytes derived from primary culture was generated in order to characterize the microRNA content of these systems, thus helping in their understanding. Both constitute cell models for functional studies of microRNAs in head and neck squamous cell carcinoma (HNSCC), a smoking-related cancer. Known microRNAs were quantified and analyzed in the context of gene regulation. New microRNAs were investigated using similarity and structural search, ab initio classification, and prediction of the location of mature microRNAs within would-be precursor sequences. Results were compared with small RNA transcriptomic sequences from HNSCC samples in order to access the applicability of these cell models for cancer phenotype comprehension and for novel molecule discovery. RESULTS:Ten miRNAs represented over 70% of the mature molecules present in each of the cell types. The most expressed molecules were miR-21, miR-24 and miR-205, Accordingly; miR-21 and miR-205 have been previously shown to play a role in epithelial cell biology. Although miR-21 has been implicated in cancer development, and evaluated as a biomarker in HNSCC progression, no significant expression differences were seen between cell types. We demonstrate that differentially expressed mature miRNAs target cell differentiation and apoptosis related biological processes, indicating that they might represent, with acceptable accuracy, the genetic context from which they derive. Most miRNAs identified in the cancer cell line and in keratinocytes were present in tumor samples and cancer-free samples, respectively, with miR-21, miR-24 and miR-205 still among the most prevalent molecules at all instances. Thirteen miRNA-like structures, containing reads identified by the deep sequencing, were predicted from putative miRNA precursor sequences. Strong evidences suggest that one of them could be a new miRNA. This molecule was mostly expressed in the tumor cell line and HNSCC samples indicating a possible biological function in cancer. CONCLUSIONS:Critical biological features of cells must be fully understood before they can be chosen as models for functional studies. Expression levels of miRNAs relate to cell type and tissue context. This study provides insights on miRNA content of two cell models used for cancer research. Pathways commonly deregulated in HNSCC might be targeted by most expressed and also by differentially expressed miRNAs. Results indicate that the use of cell models for cancer research demands careful assessment of underlying molecular characteristics for proper data interpretation. Additionally, one new miRNA-like molecule with a potential role in cancer was identified in the cell lines and clinical samples.

Project description:Abstract Neuroendocrine tumors (NETs) comprise a group of complex heterogeneous and increasingly prevalent neoplasms. They arise from diverse body regions, share derivation from primitive neuronal stem cells, secrete various bioactive peptides and exhibit a wide spectrum of tumor behavior from relatively indolent to rapidly progressive. Pituitary tumors represent 20% of intracranial tumors and share some features of NET histo-pathologic morphology, their excess hormone production and some have proposed re-naming pituitary tumors as PitNETs. However there has been no precise cell type composition comparison at the whole genome level in these two types of tumors. To explore intratumoral heterogeneity at a single cell resolution in pituitary and pancreatic NETs, we employed single cell RNA sequencing (scRNA-seq) to analyze in parallel cell populations from surgically resected pituitary tumors (n=4) and pancreatic NETs (pNET, n=2) using a 10x Genomics platform (v3). Using Cell Ranger pipeline for alignment and mapping, we obtained an average of 8,306±2,519 cells/sample with 1,516±822 genes/cell (mean reads/cell 67.9±30K). Seurat v3 was then used for read pre-filtering, normalization, and cluster identification. We identified 5 genes commonly expressed in both pNET and pituitary tumor populations, namely CALY (clathrin light chain binding GO:0032051), SPINT (peptidase inhibitor activity GO:0030414), CHGB (hormone activity GO:0005179), SCG5 (GTP binding GO:0005525) and SEZ6L2. As proof of their oral epidermal embryonic origin, the commonly expressed genes in 4 pituitary tumor samples include pituitary tissue restricted transcription factors (POU1F1, BEX1/2 GO:0033613), GNAS (G-protein beta/gamma-subunit complex binding GO:0031683), NLRP1 (peptidase activator activity involved in apoptotic process GO:0016505), PTN (protein phosphatase regulator activity GO:0019888) and ATP6V1G1 (ATPase binding GO:0051117). In parallel, 71 genes were present at high levels in pNET and involved in molecular functions such as calcium ion binding (HSPA5; ENPP2; C2CD4B; CALR; HSP90B1 GO:0005509) and endopeptidase inhibitor activity (PCSK1N; WFDC2 GO:0004866). Although our exploratory findings are limited to 6 samples, the robust commonly expressed genes within each tumor type clearly separated pituitary and pancreatic neuroendocrine tumors into distinct entities. We did observe conservation of chromogranins and prohormone convertases in these two tumor types, but it only represented a very small portion of overlap in transcriptome in pNETs. In summary, our findings suggest that pituitary and neuroendocrine tumors have only limited common molecular features, and by and large they stand as separate biologic populations. Our observations may begin to provide insight into the differences in tumor progression that are encountered clinically between pituitary tumors and pancreatic NETs.

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Characterization of the small RNA transcriptomes of cell protrusions and cell bodies of highly metastatic hepatocellular carcinoma cells via RNA sequencing.

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