Investigation of Exome-Wide Tumor Heterogeneity on Colorectal Tissue-Based Single Cells

The progression of colorectal cancer is strongly influenced by environmental and genetic conditions. One of the key factors is tumor heterogeneity which is extensively studied by cfDNA and bulk sequencing methods; however, we lack knowledge regarding its effects at the single-cell level. Motivated by this, we aimed to employ an end-to-end single-cell sequencing workflow from tissue-derived sample isolation to exome sequencing. Our main goal was to investigate the heterogeneity patterns by laser microdissecting samples from different locations of a tissue slide. Moreover, by studying healthy colon control, tumor-associated normal, and colorectal cancer tissues, we explored tissue-specific heterogeneity motifs. For completeness, we also compared the performance of the whole-exome bulk, cfDNA, and single-cell sequencing methods based on variation at the level of a single nucleotide.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-01-16
DOI
https://doi.org/10.3390/ijms26020737
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of Exome-Wide Tumor Heterogeneity on Colorectal Tissue-Based Single Cells

Gábor Valcz, Béla Péter Molnár, Kristóf Rada, Tamás Richárd Linkner et al.
1 citations
International Journal of Molecular Sciences
Single-cell and spatial transcriptomics
0.81
article

Investigation of Exome-Wide Tumor Heterogeneity on Colorectal Tissue-Based Single Cells

Gábor Valcz, Béla Péter Molnár, Kristóf Rada, Tamás Richárd Linkner, Barbara Kinga Barták, Alexandra Kalmár, Zsófia Brigitta Nagy, István Takács, Nikolett Szakállas
article en
1 citations

Abstract

The progression of colorectal cancer is strongly influenced by environmental and genetic conditions. One of the key factors is tumor heterogeneity which is extensively studied by cfDNA and bulk sequencing methods; however, we lack knowledge regarding its effects at the single-cell level. Motivated by this, we aimed to employ an end-to-end single-cell sequencing workflow from tissue-derived sample isolation to exome sequencing. Our main goal was to investigate the heterogeneity patterns by laser microdissecting samples from different locations of a tissue slide. Moreover, by studying healthy colon control, tumor-associated normal, and colorectal cancer tissues, we explored tissue-specific heterogeneity motifs. For completeness, we also compared the performance of the whole-exome bulk, cfDNA, and single-cell sequencing methods based on variation at the level of a single nucleotide.

International Journal of Molecular SciencesVol. 26(2)
Semmelweis University (HU), Eötvös Loránd University (HU), Montavid Thermodynamic Research Group (HU)
Hungarian Scientific Research Fund, Nemzeti Kutatási és Technológiai Hivatal
Life in Land
Openalex Percentile: Top 32%
Single-cell and spatial transcriptomics
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Investigation of Exome-Wide Tumor Heterogeneity on Colorectal Tissue-Based Single Cells — Gábor Valcz, Béla Péter Molnár, et al. · International Journal of Molecular Sciences (2025) | TGRS Research Map | TGRS