Evidence map›Paper›PMID 36284160›Full record

ArticleCommunications biology2022

Pooled image-base screening of mitochondria with microraft isolation distinguishes pathogenic mitofusin 2 mutations.

Alex L Yenkin, John C Bramley, Colin L Kremitzki, Jason E Waligorski, Mariel J Liebeskind, Xinyuan E Xu, Vinay D Chandrasekaran, Maria A Vakaki, Graham W Bachman, Robi D Mitra and 2 more

Abstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Massively Parallel CRISPR-Based Genetic Perturbation Screening at Single-Cell Resolution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  5. Review
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

12 authors.

Alex L YenkinDepartment of Genetics, Washington University School of Medicine, St Louis, MO, USA.ORCID 0000-0001-5909-7802
John C BramleyDepartment of Genetics, Washington University School of Medicine, St Louis, MO, USA.
Colin L KremitzkiDepartment of Genetics, Washington University School of Medicine, St Louis, MO, USA.
Jason E WaligorskiDepartment of Genetics, Washington University School of Medicine, St Louis, MO, USA.
Mariel J LiebeskindDepartment of Genetics, Washington University School of Medicine, St Louis, MO, USA.
Xinyuan E XuDepartment of Genetics, Washington University School of Medicine, St Louis, MO, USA.ORCID 0000-0003-4944-9047
Vinay D ChandrasekaranDepartment of Genetics, Washington University School of Medicine, St Louis, MO, USA.ORCID 0000-0001-5803-9723
Maria A VakakiDepartment of Genetics, Washington University School of Medicine, St Louis, MO, USA.
Graham W BachmanDepartment of Genetics, Washington University School of Medicine, St Louis, MO, USA.
Robi D MitraDepartment of Genetics, Washington University School of Medicine, St Louis, MO, USA.
Jeffrey D MilbrandtDepartment of Genetics, Washington University School of Medicine, St Louis, MO, USA.ORCID 0000-0002-5477-7689
William J BuchserDepartment of Genetics, Washington University School of Medicine, St Louis, MO, USA. wbuchser@wustl.edu.ORCID 0000-0002-6675-6359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most human genetic variation is classified as variants of uncertain significance. While advances in genome editing have allowed innovation in pooled screening platforms, many screens deal with relatively simple readouts (viability, fluorescence) and cannot identify the complex cellular phenotypes that underlie most human diseases. In this paper, we present a generalizable functional genomics platform that combines high-content imaging, machine learning, and microraft isolation in a method termed "Raft-Seq". We highlight the efficacy of our platform by showing its ability to distinguish pathogenic point mutations of the mitochondrial regulator Mitofusin 2, even when the cellular phenotype is subtle. We also show that our platform achieves its efficacy using multiple cellular features, which can be configured on-the-fly. Raft-Seq enables a way to perform pooled screening on sets of mutations in biologically relevant cells, with the ability to physically capture any cell with a perturbed phenotype and expand it clonally, directly from the primary screen.

Indexed as

Gene EditingGenomicsHumansMitochondriaMutationPhenotype

Identifiers

PMID36284160
PMCPMC9596453

What Socratic 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 Socratic graph.