Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Single-cell transcriptome analysis reveals the key genes associated with macrophage polarization in liver cancer

27 Oct 2023

Abstract excerpt

BACKGROUND: The aim of this study was to reveal the key genes associated with macrophage polarization in liver cancer. METHODS: Data were downloaded from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas databases (TCGA). R package Seurat 4.0 was used to preprocess the downloaded single-cell sequencing data, principal component analysis, and clustering. R package SingleR was used to annotate cell...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Ferroptosis and cancer prognosis
Share to Immune cells in cancer
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37889536
DOI: 10.1097/hc9.0000000000000304

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Single-cell transcriptome analysis reveals the key genes associated with macrophage polarization in liver cancerPMID 37889536Read ↗

Identification of SPP1+ macrophages as an immune suppressor in hepatocellular carcinoma using single-cell and bulk transcriptomicsSemantic proximity Read ↗

Tumor-Associated Macrophages (TAMs) Polarization by Single-Cell Sequencing Combined with Bulk Data in Hepatocellular Carcinoma CellSemantic proximity Read ↗

Gene trail of polarized M2 macrophage decodes tumor heterogeneity and recommendation for therapy of hepatocellular carcinomaSemantic proximity Read ↗

Multi-Omics Deciphering of the Characteristics, Functional Mechanisms, and Prognostic Value of Tumor-Associated Macrophage Subsets in Hepatocellular CarcinomaSemantic proximity Read ↗

Integrating Bulk and Single-cell RNA-seq to Construct a Macrophage-related Prognostic Model for Prognostic Stratification in Triple-negative Breast CancerSemantic proximity Read ↗

SPP1+ tumor-associated macrophages define a high-risk subgroup and inform personalized therapy in hepatocellular carcinomaSemantic proximity Read ↗

Construction of TME and Identification of crosstalk between malignant cells and macrophages by SPP1 in hepatocellular carcinoma.Semantic proximity Read ↗

Identification of a Macrophage Marker Gene Signature to Evaluate Immune Infiltration and Therapeutic Response in Hepatocellular Carcinoma Based on Single-cell and Bulk RNA Sequencing DataSemantic proximity Read ↗

Systematic analysis and experimental validation of the prognostic and immunological effects of SPP1 tumor-associated macrophage features in colorectal cancerSemantic proximity Read ↗

Comprehensive Molecular Analyses of a Macrophage-Related Gene Signature With Regard to Prognosis, Immune Features, and Biomarkers for Immunotherapy in Hepatocellular Carcinoma Based on WGCNA and the LASSO AlgorithmSemantic proximity Read ↗

Single-cell RNA-seq integration unveils liver vulnerability to tumor metastases: insights from myeloid cell characterization in pancreatic cancer liver metastaticSemantic proximity Read ↗

PNOC Expressed by B Cells in Cholangiocarcinoma Was Survival Related and LAIR2 Could Be a T Cell Exhaustion Biomarker in Tumor Microenvironment: Characterization of Immune Microenvironment Combining Single-Cell and Bulk Sequencing TechnologySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.