Evidence map›Paper›PMID 28732598›Full record

ReviewTrends in genetics : TIG2017

High-Throughput Imaging for the Discovery of Cellular Mechanisms of Disease.

Gianluca Pegoraro, Tom Misteli

Open access · greenAbstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
13.2field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 118 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Dressed in Collagen: 2D and 3D Cardiac Fibrosis Models.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Sexy ways: approaches to studying plant sex chromosomes.Journal of experimental botany · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

2 authors at 2 institutions in 1 country.

Gianluca PegoraroNCI High-Throughput Imaging Facility, Bethesda, MD 20892, USA; Center for Cancer Research, National Cancer Institute/NIH, Bethesda, MD 20892, USA. Electronic address: pegorarog@mail.nih.gov.
Tom MisteliCenter for Cancer Research, National Cancer Institute/NIH, Bethesda, MD 20892, USA. Electronic address: mistelit@mail.nih.gov.
High Throughput Biology (United States) · USNational Cancer Institute · US

Funding

Nuclear Architecture and DiseaseZIABC010309 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MISTELI, THOMAS A · 2009 to 2025
$39.8M
HiTIF Microscopy Core FacilityZICBC011567 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PEGORARO, GIANLUCA · 2014 to 2025
$15.8M
Nuclear architecture and gene expression Z01BC010309 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MISTELI, THOMAS A · 1999 to 2008
$3.6M
Intramural NIH HHS Z01 BC010309Intramural NIH HHS Z99 CA999999Intramural NIH HHS ZIC BC011567
6 · The paper itself

Abstract

High-throughput imaging (HTI) is a powerful tool in the discovery of cellular disease mechanisms. While traditional approaches to identify disease pathways often rely on knowledge of the causative genetic defect, HTI-based screens offer an unbiased discovery approach based on any morphological or functional defects of disease cells or tissues. In this review, we provide an overview of the use of HTI for the study of human disease mechanisms. We discuss key technical aspects of HTI and highlight representative examples of its practical applications for the discovery of molecular mechanisms of disease, focusing on infectious diseases and host-pathogen interactions, cancer, and rare genetic diseases. We also present some of the current challenges and possible solutions offered by novel cell culture systems and genome engineering approaches.

Indexed as

High-Throughput Screening AssaysMicroscopyautomationchemical screeningfluorescence microscopyhigh-content imaginghigh-throughput imagingphenotypic profilingRNAi screening

Identifiers

PMID28732598
PMCPMC5562530
OpenAlexW2738075018

What OpenQuestion holds

Textmetadata
LicenceTDM
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.