Project description:Single-cell transcriptomic profiling of human liver tissues collected from hepatocellular carcinoma and intrahepatic cholangiocarcinoma patients. Samples were collected from multiple regions, including tumor core, tumor border and adjacent non-tumor tissue.
Project description:We have analyzed transcriptomic intra-tumor heterogeneity among 2-4 multiregional samples from each of 98 primary colorectal cancers. We investigated the level and prognostic value of intra-tumor heterogeniety of the consensus molecular subtypes, and identified subtypes more robust to heterogeneity based on genes with uniform expression levels across tumor regions.
Project description:Single-cell transcriptomic profiling of liver cancer biospecimens from hepatocellular carcinoma and intrahepatic cholangiocarcinoma patients.
Project description:Glioma is a complex malignant neoplasm, treating each case as a dark box obviously could not acquire expected overall prognosis, because subpopulation inside tumor could be core factor which directly influence tumor progression. So, clonal sequencing or single-cell sequencing could be best solution to this problem. Here we combined these two strategies and analyzed more than 6000 single-cell transcriptome of 73 surgery points from 13 glioma and 1 brain metastasis patient. After these cells assigned into normal, immune, tumor and several other groups based on differentially expressed genes and specified TCGA 4 classification gene sets, spacial information of sampling points helped us built up cell type constituent of different part inside tumor, and illustrated invasion patterns during tumor growth.
Project description:The ability to interrogate circulating tumor cells (CTC) and disseminated tumor cells (DTC) is restricted by the small number detected and isolated (typically <10). We wanted to determine if a commercially available technology could provide a transcriptomic profile of a single prostate cancer (PCa) cell. We clonally selected and cultured a single passage of cell cycle synchronized C4-2B PCa cells. Ten sets of single, 5-, or 10-cells were isolated using a micromanipulator under direct visualization with an inverted microscope. Additionally, we analyzed 10 individual DTC isolated from each of 2 patients with metastatic PCa. We have shown that a transcriptomic profile can be obtained from a single cell using commercially available technology. As expected, fewer amplified genes are detected from a single-cell sample than from pooled cell samples, but this method can be used to obtain a transcriptomic profile from DTC isolated from the bone marrow of patients with PCa. Custom Agilent 44K whole human genome expression oligonucleotide microarrays were used to profile clonally selected and cultured single passage of cell cycle synchronized C4-2B PCa cells isolated using a micromanipulator under direct visualization with an inverted microscope into ten sets of single, 5-, or 10-cells. Single disseminated tumor cells were isolated from bone marrow (BM) samples of two advanced prostate cancer patients. Essentially, a two-step selection process was employed, in which anti-CD45 and anti-CD61 conjugated to immunomagnetic beads were used for negative selection, and anti-HEA was used for positive selection. Cells were then fluorescently stained for BerEP4, counter stained with RPE anti-CD45, and individually selected (10 single cells each per patient) under fluorescent light using a micropipette system for further analysis. RNA was amplified using the WT-Oviation one-direct system and hybridization against a common reference pool of prostate tumor cell lines. Data from C42B cell data and data from single cells isolated from the bone marrow of patients were normalized and analyzed separately.