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

SpatialSNV: A novel method for identifying and analyzing spatially resolved SNVs in tumor microenvironments.

GigaScience - 6 Jan 2025

Liu Yi, Zhu Fan, Li Xinxing, Guan Xiangyu, Hou Yong, Feng Yu, Dong Xuan, Li Young

Abstract excerpt

BACKGROUND: The dynamics of single-nucleotide variants (SNVs) play a critical role in understanding tumor development, yet their influence on shaping tumor microenvironments remains largely unexplored. Spatial transcriptomics offers an opportunity to map SNVs within the tumor context, potentially uncovering new insights into tumor microenvironment dynamics. RESULTS: This study developed SpatialSNV for identifying...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to Gene Expression Profiling

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Mutation

Share to Neoplasms

Share to Polymorphism, Single Nucleotide

Share to Transcriptome

Share to Tumor Microenvironment

Source

Open in PubMed Open full text

Identifiers

PMID: 40515555
DOI: 10.1093/gigascience/giaf065
PMCID: PMC12166308

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

SpatialSNV: A novel method for identifying and analyzing spatially resolved SNVs in tumor microenvironments.PMID 40515555Read ↗

Detection of Somatic Point Mutations Directly from Spatial Transcriptomics Enables in vivo Spatiotemporal Lineage TracingSemantic proximity Read ↗

stSNV: a comprehensive resource of SNVs in spatial transcriptome.Semantic proximity Read ↗

Spatial transcriptomics and scRNA-seq: decoding tumor complexity and constructing prognostic models in colorectal cancerSemantic proximity Read ↗

Conserved principles of spatial biology define tumor heterogeneity and response to immunotherapySemantic proximity Read ↗

Spatial omics for profiling the dynamic tumor microenvironmentSemantic proximity Read ↗

HEARTSVG: a fast and accurate method for spatially variable gene identification in large-scale spatial transcriptomic dataSemantic proximity Read ↗

Molecular cartography uncovers evolutionary and microenvironmental dynamics in sporadic colorectal tumorsSemantic proximity Read ↗

Charting the Heterogeneity of Colorectal Cancer Consensus Molecular Subtypes using Spatial TranscriptomicsSemantic proximity Read ↗

Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in tissuesSemantic proximity Read ↗

Molecular cartography uncovers evolutionary and microenvironmental dynamics in sporadic colorectal tumors.Semantic proximity Read ↗

Multiregion ultra-deep sequencing reveals early intermixing and variable levels of intratumoral heterogeneity in colorectal cancer.Semantic proximity Read ↗

CanCellVar: A database for single-cell variants map in human cancer.Semantic proximity Read ↗

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