Evidence map›Paper›PMID 31302153›Full record

ArticleCell systems2019

A Multi-center Study on the Reproducibility of Drug-Response Assays in Mammalian Cell Lines.

Mario Niepel, Marc Hafner, Caitlin E Mills, Kartik Subramanian, Elizabeth H Williams, Mirra Chung, Benjamin Gaudio, Anne Marie Barrette, Alan D Stern, Bin Hu and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Cell systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing 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

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

  1. Pooled it
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  6. Harmonization and integration of pharmacogenomics screens.Bioinformatics (Oxford, England) · 2026
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36 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.

Mario NiepelLaboratory of Systems Pharmacology, HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA.
Marc HafnerLaboratory of Systems Pharmacology, HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA.
Caitlin E MillsLaboratory of Systems Pharmacology, HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA.
Kartik SubramanianLaboratory of Systems Pharmacology, HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA.
Elizabeth H WilliamsLaboratory of Systems Pharmacology, HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA.
Mirra ChungLaboratory of Systems Pharmacology, HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA.
Benjamin GaudioLaboratory of Systems Pharmacology, HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA.
Anne Marie BarretteDepartment of Pharmacological Sciences, Drug Toxicity Signature Generation (DToxS) LINCS Center, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Alan D SternDepartment of Pharmacological Sciences, Drug Toxicity Signature Generation (DToxS) LINCS Center, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Bin HuDepartment of Pharmacological Sciences, Drug Toxicity Signature Generation (DToxS) LINCS Center, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
James E KorkolaMicroenvironment Perturbagen (MEP) LINCS Center, OHSU Center for Spatial Systems Biomedicine, Oregon Health & Sciences University, Portland, OR 97201, USA.
LINCS Consortium
Joe W GrayMicroenvironment Perturbagen (MEP) LINCS Center, OHSU Center for Spatial Systems Biomedicine, Oregon Health & Sciences University, Portland, OR 97201, USA.
Marc R BirtwistleDepartment of Pharmacological Sciences, Drug Toxicity Signature Generation (DToxS) LINCS Center, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA. Electronic address: mbirtwi@clemson.edu.
Laura M HeiserMicroenvironment Perturbagen (MEP) LINCS Center, OHSU Center for Spatial Systems Biomedicine, Oregon Health & Sciences University, Portland, OR 97201, USA. Electronic address: heiserl@ohsu.edu.
Peter K SorgerLaboratory of Systems Pharmacology, HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA. Electronic address: peter_sorger@hms.harvard.edu.

Funding

Data Coordination and Integration Center for LINCS-BD2KU54HL127624 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI, SCHURER, STEPHAN C · 2014 to 2019
$23.5M
Discovering existing medicines that abrogate cellular responses to SARS CoV-2 infectionU54HL127366 · NHLBI · BROAD INSTITUTE, INC. · PI GOLUB, TODD R. · 2014 to 2020
$14.3M
Pharmaco Response Signatures and Disease MechanismU54HL127365 · NHLBI · HARVARD MEDICAL SCHOOL · PI SORGER, PETER KARL · 2014 to 2019
$13.1M
Drug Combination Signatures for Prediction and Mitigation of ToxicityU54HG008098 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BIRTWISTLE, MARC R., SOBIE, ERIC A · 2014 to 2019
$11.8M
Neuron and Glial Cellular Signatures from Normal and Diseased iPS Cells-SupplementU54NS091046 · NINDS · UNIVERSITY OF CALIFORNIA-IRVINE · PI FINKBEINER, STEVEN M, FRAENKEL, ERNEST · 2014 to 2020
$11.7M
OutreachU54HG008100 · NHGRI · OREGON HEALTH & SCIENCE UNIVERSITY · PI GRAY, JOE W., HEISER, LAURA MADELINE · 2014 to 2019
$10.5M
There and Back Again: Epigenetic Reinforcement of Cellular Signaling States - OverallU54HG008097 · NHGRI · BROAD INSTITUTE, INC. · PI JAFFE, JACOB DAVID · 2014 to 2019
$9.3M
Teaching biomedical and pharmacological trainees to produce FAIR data for AI & ML applicationsT32GM062754 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI SCHLESSINGER, AVNER · 2001 to 2023
$6.2M
Predicting the Heterogeneity of Cell-Fate DecisionsR01GM104184 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BIRTWISTLE, MARC R. · 2014 to 2018
$1.8M
NHGRI NIH HHS U54 HG008097NHGRI NIH HHS U54 HG008098NHGRI NIH HHS U54 HG008100NHLBI NIH HHS U54 HL127365NHLBI NIH HHS U54 HL127366NHLBI NIH HHS U54 HL127624NIGMS NIH HHS R01 GM104184NIGMS NIH HHS T32 GM062754NINDS NIH HHS U54 NS091046
6 · The paper itself

Abstract

Evidence that some high-impact biomedical results cannot be repeated has stimulated interest in practices that generate findable, accessible, interoperable, and reusable (FAIR) data. Multiple papers have identified specific examples of irreproducibility, but practical ways to make data more reproducible have not been widely studied. Here, five research centers in the NIH LINCS Program Consortium investigate the reproducibility of a prototypical perturbational assay: quantifying the responsiveness of cultured cells to anti-cancer drugs. Such assays are important for drug development, studying cellular networks, and patient stratification. While many experimental and computational factors impact intra- and inter-center reproducibility, the factors most difficult to identify and control are those with a strong dependency on biological context. These factors often vary in magnitude with the drug being analyzed and with growth conditions. We provide ways to identify such context-sensitive factors, thereby improving both the theory and practice of reproducible cell-based assays.

Indexed as

AnimalsAntineoplastic AgentsCell Culture TechniquesCell Line, TumorComputational BiologyDrug DevelopmentHigh-Throughput Screening AssaysHumansMammalsNeoplasmsObserver VariationReproducibility of ResultsAntineoplastic Agentscancer drugscell linedose responsehigh[HYPHEN]throughputmicroscopyoncologypharmacologyreproducibilityscreening

Identifiers

PMID31302153
PMCPMC6700527

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.