Evidence map›Paper›PMID 24789374›Full record

ArticleLab on a chip2014

Microfluidics for single-cell genetic analysis.

A M Thompson, A L Paguirigan, J E Kreutz, J P Radich, D T Chiu

Abstract read
In one paragraph

Article in Lab on a chip, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

A M ThompsonDepartment of Chemistry, University of Washington, Seattle, WA, USA. chiu@chem.washington.edu.
A L Paguirigan
J E Kreutz
J P Radich
D T Chiu

Funding

VIRUS-MEDIATED MYELOSUPPRESSIONP01CA018029 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Geoffrey Roger HILL · 1985 to 2026
$128.4M
Understanding and predicting relapse in acute myeloid leukemiaR01CA175008 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RADICH, JERALD PATRICK · 2013 to 2023
$3.9M
Single-Cell Methods for Analysis of Clonal Heterogeneity and Evolution in CancerR01CA175215 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RADICH, JERALD PATRICK · 2013 to 2017
$3.0M
NCI NIH HHS P01 CA018029NCI NIH HHS R01 CA175008NCI NIH HHS R01 CA175215NCI NIH HHS R01CA175215
6 · The paper itself

Abstract

The ability to correlate single-cell genetic information to cellular phenotypes will provide the kind of detailed insight into human physiology and disease pathways that is not possible to infer from bulk cell analysis. Microfluidic technologies are attractive for single-cell manipulation due to precise handling and low risk of contamination. Additionally, microfluidic single-cell techniques can allow for high-throughput and detailed genetic analyses that increase accuracy and decrease reagent cost compared to bulk techniques. Incorporating these microfluidic platforms into research and clinical laboratory workflows can fill an unmet need in biology, delivering the highly accurate, highly informative data necessary to develop new therapies and monitor patient outcomes. In this perspective, we describe the current and potential future uses of microfluidics at all stages of single-cell genetic analysis, including cell enrichment and capture, single-cell compartmentalization and manipulation, and detection and analyses.

Indexed as

Single-Cell AnalysisGenome, HumanHumansMicrofluidicsPolymerase Chain ReactionSequence Analysis

Identifiers

PMID24789374
PMCPMC4117719

What OpenQuestion holds

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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.