Evidence map›Paper›PMID 22232676›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Digital RNA sequencing minimizes sequence-dependent bias and amplification noise with optimized single-molecule barcodes.

Katsuyuki Shiroguchi, Tony Z Jia, Peter A Sims, X Sunney Xie

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

149 citing papers in PubMed.

  1. Comprehensive analysis ofJournal of genetics · 2020
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  11. Transcriptome and Temporal Transcriptome Analyses in Single Cells.International journal of molecular sciences · 2024
    Review
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  18. CD45 alleviates airway inflammation and lung fibrosis by limiting expansion and activation of ILC2s.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. Review
  20. Article

89 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Katsuyuki ShiroguchiDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA.
Tony Z Jia
Peter A Sims
X Sunney Xie

Funding

Real-time single-molecule nucleic acid sequencing with fluorogenic nucleotidesR01HG005097 · NHGRI · HARVARD UNIVERSITY · PI XIE, XIAOLIANG SUNNEY · 2009 to 2011
$2.5M
Single Cell Single Molecule Digital mRNA Profiling with No PCR AmplificationRC2HG005613 · NHGRI · HARVARD UNIVERSITY · PI XIE, XIAOLIANG SUNNEY · 2009 to 2010
$736k
NHGRI NIH HHS 1RC2HG005613-01NHGRI NIH HHS HG005097-01NHGRI NIH HHS R01 HG005097NHGRI NIH HHS RC2 HG005613
6 · The paper itself

Abstract

RNA sequencing (RNA-Seq) is a powerful tool for transcriptome profiling, but is hampered by sequence-dependent bias and inaccuracy at low copy numbers intrinsic to exponential PCR amplification. We developed a simple strategy for mitigating these complications, allowing truly digital RNA-Seq. Following reverse transcription, a large set of barcode sequences is added in excess, and nearly every cDNA molecule is uniquely labeled by random attachment of barcode sequences to both ends. After PCR, we applied paired-end deep sequencing to read the two barcodes and cDNA sequences. Rather than counting the number of reads, RNA abundance is measured based on the number of unique barcode sequences observed for a given cDNA sequence. We optimized the barcodes to be unambiguously identifiable, even in the presence of multiple sequencing errors. This method allows counting with single-copy resolution despite sequence-dependent bias and PCR-amplification noise, and is analogous to digital PCR but amendable to quantifying a whole transcriptome. We demonstrated transcriptome profiling of Escherichia coli with more accurate and reproducible quantification than conventional RNA-Seq.

Indexed as

DNA Barcoding, TaxonomicDNA, ComplementaryEscherichia coliGene Expression ProfilingHigh-Throughput Nucleotide SequencingPolymerase Chain ReactionSequence Analysis, RNASystems BiologyDNA, Complementary

Identifiers

PMID22232676
PMCPMC3268301

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.