Evidence map›Paper›PMID 30087104›Full record

ArticleGenome research2018

High-throughput single-cell DNA sequencing of acute myeloid leukemia tumors with droplet microfluidics.

Maurizio Pellegrino, Adam Sciambi, Sebastian Treusch, Robert Durruthy-Durruthy, Kaustubh Gokhale, Jose Jacob, Tina X Chen, Jennifer A Geis, William Oldham, Jairo Matthews and 6 more

Abstract read
In one paragraph

Article in Genome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers.

0numbers the graph read from it
0cells of the map it votes in
116citing 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

116 citing papers in PubMed.

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  19. Late-onsetHaematologica · 2024
    Article
  20. Article

56 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

16 authors.

Maurizio Pellegrino *Mission Bio, Incorporated, South San Francisco, California 94080, USA.
Adam Sciambi *Mission Bio, Incorporated, South San Francisco, California 94080, USA.
Sebastian Treusch *Mission Bio, Incorporated, South San Francisco, California 94080, USA.
Robert Durruthy-DurruthyMission Bio, Incorporated, South San Francisco, California 94080, USA.
Kaustubh GokhaleMission Bio, Incorporated, South San Francisco, California 94080, USA.
Jose JacobMission Bio, Incorporated, South San Francisco, California 94080, USA.
Tina X ChenMission Bio, Incorporated, South San Francisco, California 94080, USA.
Jennifer A GeisMission Bio, Incorporated, South San Francisco, California 94080, USA.
William OldhamMission Bio, Incorporated, South San Francisco, California 94080, USA.
Jairo MatthewsDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
Hagop KantarjianDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
P Andrew FutrealDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
Keyur PatelDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
Keith W JonesMission Bio, Incorporated, South San Francisco, California 94080, USA.
Koichi TakahashiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
Dennis J EastburnMission Bio, Incorporated, South San Francisco, California 94080, USA.

Funding

A robust platform for high-throughput single-cell genetic variation analysisR44HG009465 · NHGRI · MISSION BIO, INC. · PI EASTBURN, DENNIS J · 2017 to 2017
$951k
NHGRI NIH HHS R44 HG009465
6 · The paper itself

Abstract

To enable the characterization of genetic heterogeneity in tumor cell populations, we developed a novel microfluidic approach that barcodes amplified genomic DNA from thousands of individual cancer cells confined to droplets. The barcodes are then used to reassemble the genetic profiles of cells from next-generation sequencing data. By using this approach, we sequenced longitudinally collected acute myeloid leukemia (AML) tumor populations from two patients and genotyped up to 62 disease relevant loci across more than 16,000 individual cells. Targeted single-cell sequencing was able to sensitively identify cells harboring pathogenic mutations during complete remission and uncovered complex clonal evolution within AML tumors that was not observable with bulk sequencing. We anticipate that this approach will make feasible the routine analysis of AML heterogeneity, leading to improved stratification and therapy selection for the disease.

Indexed as

AgedCells, CulturedClonal EvolutionHumansLeukemia, Myeloid, AcuteMaleMicrofluidicsMutationSequence Analysis, DNASingle-Cell Analysis

Identifiers

PMID30087104
PMCPMC6120635

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.