Evidence map›Paper›PMID 27530426›Full record

ArticleNucleic acids research2016

Selective single cell isolation for genomics using microraft arrays.

Joshua D Welch, Lindsay A Williams, Matthew DiSalvo, Alicia T Brandt, Raoud Marayati, Christopher E Sims, Nancy L Allbritton, Jan F Prins, Jen Jen Yeh, Corbin D Jones

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

10 authors.

Joshua D WelchCurriculum in Bioinformatics and Computational Biology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA.
Lindsay A WilliamsiBGS-Integrative Program for Biological & Genome Sciences,3356 Genome Sciences Bldg, CB #7100 Chapel Hill, NC 27599-7100, USA Department of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA.
Matthew DiSalvoJoint Biomedical Engineering Program, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA.
Alicia T BrandtDepartment of Biology, Campus Box 3280, Coker Hall, UNC-Chapel Hill, Chapel Hill, NC 27599-3280, USA.
Raoud MarayatiiBGS-Integrative Program for Biological & Genome Sciences,3356 Genome Sciences Bldg, CB #7100 Chapel Hill, NC 27599-7100, USA.
Christopher E SimsDepartment of Chemistry, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA.
Nancy L AllbrittoniBGS-Integrative Program for Biological & Genome Sciences,3356 Genome Sciences Bldg, CB #7100 Chapel Hill, NC 27599-7100, USA Joint Biomedical Engineering Program, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA Department of Chemistry, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA Department of Pharmacology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA.
Jan F PrinsCurriculum in Bioinformatics and Computational Biology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA.
Jen Jen YehiBGS-Integrative Program for Biological & Genome Sciences,3356 Genome Sciences Bldg, CB #7100 Chapel Hill, NC 27599-7100, USA Department of Pharmacology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA Department of Surgery, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA jen_jen_yeh@med.unc.edu.
Corbin D JonesCurriculum in Bioinformatics and Computational Biology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA Department of Biology, Campus Box 3280, Coker Hall, UNC-Chapel Hill, Chapel Hill, NC 27599-3280, USA Department of Surgery, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA cdjones@email.unc.edu.

Funding

UNC Predoc Training Progr in Bioinformatics/Comp BiologyT32GM067553 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELSTON, TIMOTHY C · 2005 to 2019
$2.5M
Unlocking transcript diversity via differential analyses of splice graphsR01HG006272 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIU, JINZE, PRINS, JAN F · 2012 to 2014
$1.2M
Big Data to Knowledge Training ProgramT32CA201159 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FOREST, MARK GREGORY, KOSOROK, MICHAEL R · 2015 to 2015
$316k
CellRaft Arrays for Single-cell PCRR43EB019752 · NIBIB · CELL MICROSYSTEMS, INC. · PI DOBES, NICHOLAS CARL · 2014 to 2014
$190k
Computational Modeling of Heterogeneous Gene Expression in Single CellsF31HG008912 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WELCH, JOSHUA · 2016 to 2017
$45k
NCI NIH HHS T32 CA201159NHGRI NIH HHS F31 HG008912NHGRI NIH HHS R01 HG006272NIBIB NIH HHS R43 EB019752NIGMS NIH HHS T32 GM067553
6 · The paper itself

Abstract

Genomic methods are used increasingly to interrogate the individual cells that compose specific tissues. However, current methods for single cell isolation struggle to phenotypically differentiate specific cells in a heterogeneous population and rely primarily on the use of fluorescent markers. Many cellular phenotypes of interest are too complex to be measured by this approach, making it difficult to connect genotype and phenotype at the level of individual cells. Here we demonstrate that microraft arrays, which are arrays containing thousands of individual cell culture sites, can be used to select single cells based on a variety of phenotypes, such as cell surface markers, cell proliferation and drug response. We then show that a common genomic procedure, RNA-seq, can be readily adapted to the single cells isolated from these rafts. We show that data generated using microrafts and our modified RNA-seq protocol compared favorably with the Fluidigm C1. We then used microraft arrays to select pancreatic cancer cells that proliferate in spite of cytotoxic drug treatment. Our single cell RNA-seq data identified several expected and novel gene expression changes associated with early drug resistance.

Indexed as

Microarray AnalysisAnimalsCell Line, TumorCell ProliferationCells, CulturedCell SeparationDeoxycytidineGemcitabineGene Expression Regulation, NeoplasticGenomicsHumansMiceReproducibility of ResultsSequence Analysis, RNATumor Stem Cell AssayDeoxycytidineGemcitabine

Identifiers

PMID27530426
PMCPMC5041489

What OpenQuestion holds

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LicenceCC BY-NC
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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.