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Related Concept Videos

Renewal of Intestinal Stem Cells01:23

Renewal of Intestinal Stem Cells

The intestinal epithelial lining rapidly renews every 4 to 5 days. The renewal is facilitated by intestinal stem cells (ISCs) located at the base of the crypt– a gland located at the bottom of each villus. ISCs divide asymmetrically to form new stem cells and progenitor daughter cells. The daughter cells are called transit-amplifying (TA) cells which move upwards along the crypt and either differentiate into absorptive cells– the enterocytes or secretory cells– including the goblet,...

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Related Experiment Video

Updated: Jun 13, 2026

Real Time Analysis of Metabolic Profile in Ex Vivo Mouse Intestinal Crypt Organoid Cultures
08:53

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Published on: November 3, 2014

Integrated Single-Cell and Spatial Transcriptomic Analysis Identifies Putative Metabolic Crosstalk Between SPP1+ TAMs

Yu Xue1,2, Guangsong Tang2,3, Xinglong Li2,4

  • 1School of Life Sciences, Faculty of Medicine, Tianjin University, Tianjin 300072, China.

Cancers
|June 12, 2026
PubMed
Summary

Colorectal cancer (CRC) involves metabolic reprogramming in malignant epithelial cells and tumor-associated macrophages (TAMs). This study reveals coordinated metabolic programs and bidirectional communication, leading to a new prognostic model for CRC patient stratification.

Keywords:
colorectal cancermetabolic crosstalkmetabolic reprogrammingprognostic modelscRNA-seqspatial transcriptomics

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Last Updated: Jun 13, 2026

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Published on: March 12, 2021

Area of Science:

  • Oncology
  • Metabolic Biology
  • Immunology

Background:

  • Colorectal cancer (CRC) progression is linked to tumor metabolic reprogramming and an immunosuppressive microenvironment.
  • Coordinated metabolic interactions between malignant epithelial and immune cells in CRC are not well understood.

Purpose of the Study:

  • To characterize metabolic crosstalk in colorectal cancer.
  • To validate spatial organization of metabolic interactions.
  • To develop a metabolism-based prognostic model for CRC.

Main Methods:

  • Integrated six colorectal cancer single-cell RNA sequencing datasets.
  • Utilized spatial transcriptomics to assess regional co-enrichment.
  • Analyzed bulk transcriptomic cohorts and targeted metabolomics data.
  • Employed elastic net modeling for prognostic signature development.

Main Results:

  • Identified metabolically reprogrammed SLC6A20+ epithelial cells and immunosuppressive SPP1+ tumor-associated macrophage (TAM) subsets in CRC.
  • Both subsets showed elevated glycolysis, vitamin B6, and aromatic amino acid metabolism.
  • Spatial transcriptomics confirmed regional co-enrichment of these cell subsets and shared metabolic activities.
  • A 14-gene signature based on metabolic features predicted high-risk CRC subtypes.

Conclusions:

  • SLC6A20+ epithelial cells and SPP1+ TAMs exhibit coordinated metabolic programs and bidirectional communication in CRC.
  • These findings offer potential biomarkers for CRC.
  • A metabolism-based prognostic model can stratify CRC patients effectively.