Trial reportMedicine2019
Single-cell transcriptional profiling reveals the heterogenicity in colorectal cancer.
Trial report in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed.
- Single-cell RNA sequencing in ovarian cancer: decoding the tumor microenvironment for personalized therapy.Journal of ovarian research · 2026Review
- Single-Cell Mapping Reveals MIF-Centered Immunoregulatory Networks in Colorectal Cancer.International journal of molecular sciences · 2026Article
- Elevated PXDC1 expression linked to poor prognosis and abnormalities in PD-L1 regulation and NK cell function in colorectal cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Exploring the antibacterial mechanism and biofilm inhibition ofCurrent research in food science · 2026Article
- Using single cell sequencing to investigate tumor microenvironment differences in left and right colon cancer and prognosis-related core genes.Discover oncology · 2025Article
- Systematic characterization of full-length RNA isoforms in human colorectal cancer at single-cell resolution.Protein & cell · 2025Article
- The Duality of Collagens in Metastases of Solid Tumors.International journal of molecular sciences · 2025Review
- Tumour heterogeneity and personalized treatment screening based on single-cell transcriptomics.Computational and structural biotechnology journal · 2025Article
- Single-cell multi-omics in the study of digestive system cancers.Computational and structural biotechnology journal · 2024Review
- Single-cell transcriptomics reveals stage- and side-specificity of gene modules in colorectal cancer.Research square · 2024Article
- Application of Single-Cell Sequencing Technology in Research on Colorectal Cancer.Journal of personalized medicine · 2024Review
- WTAP regulates autophagy in colon cancer cells by inhibiting FLNA through N6-methyladenosine.Cell adhesion & migration · 2023Article
- scFASTCORMICS: A Contextualization Algorithm to Reconstruct Metabolic Multi-Cell Population Models from Single-Cell RNAseq Data.Metabolites · 2022Article
- Identification and validation of a seven-gene prognostic marker in colon cancer based on single-cell transcriptome analysis.IET systems biology · 2022Article
- Single-Cell RNA Sequencing for Analyzing the Intestinal Tract in Healthy and Diseased Individuals.Frontiers in cell and developmental biology · 2022Review
- Applications and Achievements of Single-Cell Sequencing in Gastrointestinal Cancer.Frontiers in oncology · 2022Review
- Identification of Six Genes as Diagnostic Markers for Colorectal Cancer Detection by Integrating Multiple Expression Profiles.Journal of oncology · 2022Article
- Capturing tumour heterogeneity in pre- and post-chemotherapy colorectal cancer ascites-derived cells using single-cell RNA-sequencing.Bioscience reports · 2021Article
- Traditional chinese medicine syndromes classification associates with tumor cell and microenvironment heterogeneity in colorectal cancer: a single cell RNA sequencing analysis.Chinese medicine · 2021Article
- A Portrait of Intratumoral Genomic and Transcriptomic Heterogeneity at Single-Cell Level in Colorectal Cancer.Medicina (Kaunas, Lithuania) · 2021Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColorectal Cancer (CRC) is a highly heterogeneous disease. RNA profiles of bulk tumors have enabled transcriptional classification of CRC. However, such ways of sequencing can only target a cell colony and obscure the signatures of distinct cell populations. Alternatively, single-cell RNA sequencing (scRNA-seq), which can provide unbiased analysis of all cell types, opens the possibility to map cellular heterogeneity of CRC unbiasedly.
methodsIn this study, we utilized scRNA-seq to profile cells from cancer tissue of a CRC patient. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to understand the roles of genes within the clusters. RESULTS AND
conclusionThe 2824 cells were analyzed and categorized into 5 distinct clusters by scRNA-seq. For every cluster, specific cell markers can be applied, indicating each 1 of them different from another. We discovered that the tumor of CRC displayed a clear sign of heterogenicity, while genes within each cluster serve different functions. GO term analysis also stated that different cluster's relatedness towards the tumor of CRC differs. Three clusters participate in peripheral works in cells, including, energy transport, extracellular matrix generation, etc; Genes in other 2 clusters participate more in immunology processes. Lastly, trajectory plot analysis also supports the viewpoint, in that some clusters present in different states and pseudo-time, while others present in a single state or pseudo time. Our analysis provides more insight into the heterogeneity of CRC, which can provide assistance to further researches on this topic.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.