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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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