Evidence map›Paper›PMID 23873959›Full record

ArticleNucleic acids research2013

Single molecule quantitation and sequencing of rare translocations using microfluidic nested digital PCR.

Joe Shuga, Yong Zeng, Richard Novak, Qing Lan, Xiaojiang Tang, Nathaniel Rothman, Roel Vermeulen, Laiyu Li, Alan Hubbard, Luoping Zhang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

11 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Extinction risk of soil biota.Nature communications · 2015
    Review
  7. Article
  8. Microfluidics: reframing biological enquiry.Nature reviews. Molecular cell biology · 2015
    Review
  9. Article
  10. Article
  11. Article
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

12 authors at 3 institutions in 1 country.

Joe ShugaSchool of Public Health, University of California, Berkeley, CA 94720, USA, Department of Chemistry, University of California, Berkeley, CA 94720, USA, Department of Chemistry, University of Kansas, Lawrence, KS 66045, USA, UC San Francisco/UC Berkeley Graduate Program in Bioengineering, University of California, Berkeley, CA 94720, USA, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Department of Health and Human Services, Bethesda, MD 20852, USA, Guangdong Poison Control Center, Guangzhou 510300, China and Environmental Epidemiology Division, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, NL-3508, The Netherlands.
Yong Zeng
Richard Novak
Qing Lan
Xiaojiang Tang
Nathaniel Rothman
Roel Vermeulen
Laiyu Li
Alan Hubbard
Luoping Zhang
Richard A Mathies
Martyn T Smith
University of California, San Francisco · USUniversity of California, Berkeley · USNational Cancer Institute · US

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MORELLO-FROSCH, RACHEL ADELE · 1987 to 2025
$74.6M
PROTEIN ADDUCTS AS MOLECULAR SIGNATURES OF CARCINOGEN DOSEU54ES016115 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI RAPPAPORT, STEPHEN MORRIS · 2007 to 2011
$5.3M
NIEHS NIH HHS P42 ES004705NIEHS NIH HHS U54 ES016115NIEHS NIH HHS U54 ES016115-01
6 · The paper itself

Abstract

Cancers are heterogeneous and genetically unstable. New methods are needed that provide the sensitivity and specificity to query single cells at the genetic loci that drive cancer progression, thereby enabling researchers to study the progression of individual tumors. Here, we report the development and application of a bead-based hemi-nested microfluidic droplet digital PCR (dPCR) technology to achieve 'quantitative' measurement and single-molecule sequencing of somatically acquired carcinogenic translocations at extremely low levels (<10(-6)) in healthy subjects. We use this technique in our healthy study population to determine the overall concentration of the t(14;18) translocation, which is strongly associated with follicular lymphoma. The nested dPCR approach improves the detection limit to 1×10(-7) or lower while maintaining the analysis efficiency and specificity. Further, the bead-based dPCR enabled us to isolate and quantify the relative amounts of the various clonal forms of t(14;18) translocation in these subjects, and the single-molecule sensitivity and resolution of dPCR led to the discovery of new clonal forms of t(14;18) that were otherwise masked by the conventional quantitative PCR measurements. In this manner, we created a quantitative map for this carcinogenic mutation in this healthy population and identified the positions on chromosomes 14 and 18 where the vast majority of these t(14;18) events occur.

Indexed as

Microfluidic Analytical TechniquesTranslocation, GeneticCell LineChromosome BreakpointsChromosomes, Human, Pair 14Chromosomes, Human, Pair 18FormaldehydeHumansOccupational ExposurePolymerase Chain ReactionSequence Analysis, DNAFormaldehyde

Identifiers

PMID23873959
PMCPMC3763562
OpenAlexW2164037743

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.