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RoCK and ROI: single-cell transcriptomics with multiplexed enrichment of selected transcripts and region-specific sequencing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378050%3A_____%2F25%3A00645521" target="_blank" >RIV/68378050:_____/25:00645521 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1038/s41467-025-66248-z" target="_blank" >https://doi.org/10.1038/s41467-025-66248-z</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41467-025-66248-z" target="_blank" >10.1038/s41467-025-66248-z</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    RoCK and ROI: single-cell transcriptomics with multiplexed enrichment of selected transcripts and region-specific sequencing

  • Original language description

    Single-cell profiling technologies allow exploring molecular mechanisms that drive development, health, and disease. However, current methods still fall short of profiling single cell transcriptomes comprehensively, with one major challenge being high non-detection rates of specific transcripts and transcript regions. Such information is often crucial to understanding the biology of cells. Here, we introduce RoCK and ROI (Robust Capture of Key transcripts and Regions Of Interest), a scRNA-seq workflow encompassing two techniques. RoCKseq uses targeted capture to enrich for key transcripts, thereby supporting the detection and identification of cell types and complex phenotypes in scRNA-seq experiments. ROIseq directs a subset of reads to a specific region of interest via selective priming. Importantly, RoCK and ROI enables retrieval of specific sequence information without compromising overall single cell transcriptome information. We validate RoCK and ROI across diverse biological systems highlighting the versatility and showing the power of the method to retrieve critical transcriptomic features.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10601 - Cell biology

Result continuities

  • Project

    <a href="/en/project/LX22NPO5102" target="_blank" >LX22NPO5102: National institute for cancer research</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Nature Communications

  • ISSN

    2041-1723

  • e-ISSN

    2041-1723

  • Volume of the periodical

    16

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    22

  • Pages from-to

    10991

  • UT code for WoS article

    001690544800001

  • EID of the result in the Scopus database

    2-s2.0-105024359744