Evidence map›Paper›PMID 32500953›Full record

ArticleMolecular systems biology2020

High-throughput, microscope-based sorting to dissect cellular heterogeneity.

Nicholas Hasle, Anthony Cooke, Sanjay Srivatsan, Heather Huang, Jason J Stephany, Zachary Krieger, Dana Jackson, Weiliang Tang, Sriram Pendyala, Raymond J Monnat and 3 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

52 citing papers in PubMed, 83 citations in OpenAlex.

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  11. Systematic and proactive evaluation of AIRE missense variant effects.bioRxiv : the preprint server for biology · 2025
    Article
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  13. Review
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  19. Multiplex, multimodal mapping of variant effects in secreted proteins.bioRxiv : the preprint server for biology · 2025
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Nicholas HasleDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Anthony CookeLeica Microsystems, Buffalo Grove, IL, USA.
Sanjay SrivatsanDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Heather HuangDivisions of Basic Sciences and Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID 0000-0002-3534-9814
Jason J StephanyDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Zachary KriegerDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Dana JacksonDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Weiliang TangDepartment of Pathology, University of Washington, Seattle, WA, USA.
Sriram PendyalaDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Raymond J MonnatDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Cole TrapnellDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Emily M HatchDivisions of Basic Sciences and Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Douglas M FowlerDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID 0000-0001-7614-1713
University of Washington · USFred Hutch Cancer Center · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
Tumor mutation signaturesP01CA077852 · NCI · UNIVERSITY OF WASHINGTON · PI MAIZELS, NANCY · 1999 to 2019
$26.0M
Technology to understand genetic variant effects in contextRM1HG010461 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Bruce Colston Trapnell · 2019 to 2026
$18.9M
Large-Scale Methods for Assessing the Consequences of Mutations in ProteinsR01GM109110 · NIGMS · UNIVERSITY OF WASHINGTON · PI FOWLER, DOUGLAS M · 2014 to 2021
$2.4M
Charting the regulatory topography of the cell differentiation landscape with single-cell RNA-Seq.DP2HD088158 · NICHD · UNIVERSITY OF WASHINGTON · PI TRAPNELL, BRUCE COLSTON · 2015 to 2015
$2.3M
Mechanisms regulating nuclear envelope structure and stabilityR35GM124766 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HATCH, EMILY M · 2017 to 2021
$2.2M
Functional phenotyping of human genetic variationR01HL120948 · NHLBI · UNIVERSITY OF WASHINGTON · PI MONNAT, RAYMOND J · 2014 to 2017
$1.5M
Dissecting the role of PTEN in human disease by testing the effects of thousands of variants on multiple cellular phenotypesF30CA236335 · NCI · UNIVERSITY OF WASHINGTON · PI HASLE, NICHOLAS · 2019 to 2022
$170k
NCI NIH HHS F30 CA236335NCI NIH HHS P01 CA077852NCI NIH HHS P30 CA015704NHGRI NIH HHS RM1 HG010461NHLBI NIH HHS R01 HL120948NICHD NIH HHS DP2 HD088158NIGMS NIH HHS R01 GM109110NIGMS NIH HHS R35 GM124766
6 · The paper itself

Abstract

Microscopy is a powerful tool for characterizing complex cellular phenotypes, but linking these phenotypes to genotype or RNA expression at scale remains challenging. Here, we present Visual Cell Sorting, a method that physically separates hundreds of thousands of live cells based on their visual phenotype. Automated imaging and phenotypic analysis directs selective illumination of Dendra2, a photoconvertible fluorescent protein expressed in live cells; these photoactivated cells are then isolated using fluorescence-activated cell sorting. First, we use Visual Cell Sorting to assess hundreds of nuclear localization sequence variants in a pooled format, identifying variants that improve nuclear localization and enabling annotation of nuclear localization sequences in thousands of human proteins. Second, we recover cells that retain normal nuclear morphologies after paclitaxel treatment, and then derive their single-cell transcriptomes to identify pathways associated with paclitaxel resistance in cancers. Unlike alternative methods, Visual Cell Sorting depends on inexpensive reagents and commercially available hardware. As such, it can be readily deployed to uncover the relationships between visual cellular phenotypes and internal states, including genotypes and gene expression programs.

Indexed as

Cell LineCell Nucleus ShapeCellsFlow CytometryGenetic TestingHumansMicroscopy, FluorescenceNuclear Localization SignalsPaclitaxelPhenotypeTranscriptomeNuclear Localization SignalsPaclitaxelgenetic screeningmicroscopypharmacologysubcellular localizationtranscriptomics

Identifiers

PMID32500953
PMCPMC7273721
OpenAlexW3033098366

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.