Unraveling the future of genomics: CRISPR, single-cell omics, and the applications in cancer and immunology DOI Creative Commons
A Vipin Menon, Bicna Song, Lumen Chao

и другие.

Frontiers in Genome Editing, Год журнала: 2025, Номер 7

Опубликована: Апрель 11, 2025

The CRISPR system has transformed many research areas, including cancer and immunology, by providing a simple yet effective genome editing system. Its simplicity facilitated large-scale experiments to assess gene functionality across diverse biological contexts, generating extensive datasets that boosted the development of computational methods machine learning/artificial intelligence applications. Integrating with single-cell technologies further advanced our understanding function its role in processes, unprecedented insights into human biology disease mechanisms. This powerful combination accelerated AI-driven analyses, enhancing diagnostics, risk prediction, therapeutic innovations. review provides comprehensive overview CRISPR-based systems, highlighting their advancements, current progress, challenges, future opportunities, especially immunology.

Язык: Английский

Quantifying and interpreting biologically meaningful spatial signatures within tumor microenvironments DOI Creative Commons
Siyu Jing,

He-qi Wang,

Ping Lin

и другие.

npj Precision Oncology, Год журнала: 2025, Номер 9(1)

Опубликована: Март 11, 2025

The tumor microenvironment (TME) plays a crucial role in orchestrating cell behavior and cancer progression. Recent advances spatial profiling technologies have uncovered novel signatures, including univariate distribution patterns, bivariate relationships, higher-order structures. These signatures the potential to revolutionize mechanism treatment. In this review, we summarize current state of signature research, highlighting computational methods uncover spatially relevant biological significance. We discuss impact these on fundamental biology translational address challenges future research directions.

Язык: Английский

Процитировано

0

Sequencing-free whole genome spatial transcriptomics at molecular resolution in intact tissue DOI Creative Commons

Yubao Cheng,

Shengyuan Dang,

Yuan Zhang

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Март 11, 2025

Recent breakthroughs in spatial transcriptomics technologies have enhanced our understanding of diverse cellular identities, compositions, interactions, organizations, and functions. Yet existing tools are still limited either transcriptomic coverage or resolution. Leading spatial-capture spatial-tagging techniques that rely on in-vitro sequencing offer whole-transcriptome coverage, principle, but at the cost lower resolution compared to image-based techniques. In contrast, high-performance techniques, which situ hybridization sequencing, achieve single-molecule retain sub-cellular morphologies, by probe libraries target only a subset transcriptome, typically covering several hundred few thousand transcript species. Together, these limitations hinder unbiased, hypothesis-free analyses high Here we develop new technology termed Reverse-padlock Amplicon Encoding FISH (RAEFISH) with whole-genome level while retaining intact tissues. We demonstrate targeting 23,000 human species 22,000 mouse species, including nearly entire protein-coding transcriptome long-noncoding RNAs, single cells cultures tissue sections. Our reveal differential subcellular localizations transcripts, cell-type-specific cell-type-invariant zonation dependent gene expression programs underlying preferential cell-cell interactions. Finally, further for direct readout gRNAs an high-content CRISPR screen. Overall, developments provide research community broadly applicable enables high-coverage, high-resolution profiling both long short, native engineered RNA many biomedical contexts.

Язык: Английский

Процитировано

0

Unraveling the future of genomics: CRISPR, single-cell omics, and the applications in cancer and immunology DOI Creative Commons
A Vipin Menon, Bicna Song, Lumen Chao

и другие.

Frontiers in Genome Editing, Год журнала: 2025, Номер 7

Опубликована: Апрель 11, 2025

The CRISPR system has transformed many research areas, including cancer and immunology, by providing a simple yet effective genome editing system. Its simplicity facilitated large-scale experiments to assess gene functionality across diverse biological contexts, generating extensive datasets that boosted the development of computational methods machine learning/artificial intelligence applications. Integrating with single-cell technologies further advanced our understanding function its role in processes, unprecedented insights into human biology disease mechanisms. This powerful combination accelerated AI-driven analyses, enhancing diagnostics, risk prediction, therapeutic innovations. review provides comprehensive overview CRISPR-based systems, highlighting their advancements, current progress, challenges, future opportunities, especially immunology.

Язык: Английский

Процитировано

0