Evidence map›Paper›PMID 37300776›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

FACS-Based Sequencing Approach to Evaluate Cell Type to Genotype Associations Using Cerebral Organoids.

Liam Murray, Meagan N Olson, Nathaniel Barton, Pepper Dawes, Yingleong Chan, Elaine T Lim

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 83% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Liam MurrayProgram in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Meagan N OlsonProgram in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Nathaniel BartonProgram in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Pepper DawesProgram in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Yingleong ChanProgram in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Elaine T LimProgram in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA. Elaine.Lim@umassmed.edu.
NeuroNexus (United States) · USUniversity of Massachusetts Chan Medical School · US

Funding

Center for Genomically Engineered OrgansRM1HG008525 · NHGRI · HARVARD MEDICAL SCHOOL · PI CHURCH, GEORGE M · 2015 to 2019
$10.2M
Exploring a Novel Paradigm of Schizophrenia and Bipolar DisorderR01MH113279 · NIMH · HARVARD MEDICAL SCHOOL · PI CHURCH, GEORGE M, YANKNER, BRUCE A · 2016 to 2020
$4.7M
NHGRI NIH HHS RM1 HG008525NIMH NIH HHS R01 MH113279
6 · The paper itself

Abstract

Recent technological developments have led to widespread applications of large-scale transcriptomics-based sequencing methods to identify genotype-to-cell type associations. Here we describe a fluorescence-activated cell sorting (FACS)-based sequencing method to utilize CRISPR/Cas9 edited mosaic cerebral organoids to identify or validate genotype-to-cell type associations. Our approach is high-throughput and quantitative and uses internal controls to enable comparisons of the results across different antibody markers and experiments.

Indexed as

CRISPR-Cas SystemsOrganoidsFlow CytometryGenotypeCerebral organoidsFACSGenotype to cell typeoFlowSeqSequencing

Identifiers

PMID37300776
OpenAlexW4380203847

What OpenQuestion holds

Textmetadata
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.