← Search

Omics · study · 2026

Omega-seq: ultra-low-background RNA sequencing with faithful molecular counting and precise transcript-end capture

Listed in NCBI GEO

Description

PCR-based RNA sequencing generates phantom unique molecular identifiers (UMIs) when residual UMI-bearing oligonucleotides reprime during amplification, inflating molecule counts and corrupting relative abundances; non-specific amplification limits sensitivity, and synthetic poly-T tracts disrupt sequencing and obscure transcript 3' ends. This series contains the sequencing data for Omega-seq, a full-length single-cell RNA-seq method that restricts UMI incorporation to reverse transcription using uracil-containing, USER-excisable template-switching oligonucleotides together with a uracil-intolerant polymerase, and that replaces the conventional oligo-dT primer with an Omega-shaped dT primer which relocates the sequencing adapter past the homopolymer tract.

The data comprise (i) serial dilutions of human brain total RNA (10, 1 and 0.1 pg) and no-template controls processed in parallel by Omega-seq and FLASH-seq-UMI, with ERCC spike-ins, on Illumina; (ii) FACS-sorted individual Drosophila larval neuroblasts, and pooled neuroblasts and neurons, prepared by both methods; (iii) an oligonucleotide-design comparison of standard versus Omega-shaped dT primers; and (iv) a Nanopore run in which preamplified cDNA from both methods across the same dilution series was barcoded and sequenced on a single flow cell, used to characterise adapter composition and mappability of the preamplification products directly.

Read the rest (1 more)

Processed data are provided as per-library gene-by-cell UMI count matrices. The Nanopore run is deposited here as its eight demultiplexed libraries; reads for which no barcode could be recovered are not included in this Series, and are deposited with the Zenodo record accompanying the publication.

Links

Where it is published

Documentation and papers

Topics

From keywords
Life Sciences
Inferred from text
RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE34412414 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[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:single-cell-rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[organism].NCBITaxon:7227source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
concepts[organism].NCBITaxon:9606source · 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