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Omics · study · 2026

TGIRT-seq-based quantification of snoRNAs across 5 healthy mouse organs

Listed in NCBI GEO

Small nucleolar RNAs (snoRNAs) are structured non-coding RNAs that are frequently under-quantified by standard RNA-seq protocols, since their compact secondary structure impedes efficient reverse transcription.

Description

TGIRT-seq relies on a thermostable group II intron reverse transcriptase with high fidelity, processivity, and structure-tolerant activity, making it particularly well suited to accurately capture and quantify these RNA species.

This dataset presents a TGIRT-seq atlas generated from ribodepleted total RNA of five healthy mouse organs (bone, colon, gonad, liver and lung), enabling accurate snoRNA quantification alongside mRNAs, lncRNAs and other structured non-coding RNAs (e.g. tRNAs), using a genome annotation supplemented with an updated murine snoRNA annotation and tRNA gene annotations from GtRNAdb.

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From keywords
Life Sciences
Inferred from text
RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE3470797 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[method].geo_series_type:non-coding-rna-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[organism].NCBITaxon:10090source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title