Evidence map›Paper›PMID 37214826›Full record

ArticlebioRxiv : the preprint server for biology2023

Using CRISPR/Cas9 to identify genes required for mechanosensory neuron development and function.

Christopher J Johnson, Akhil Kulkarni, William J Buxton, Tsz Y Hui, Anusha Kayastha, Alwin A Khoja, Joviane Leandre, Vanshika V Mehta, Logan Ostrowski, Erica G Pareizs and 10 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 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
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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Christopher J JohnsonGeorgia Institute of Technology.
Akhil KulkarniGeorgia Institute of Technology.
William J BuxtonGeorgia Institute of Technology.
Tsz Y HuiGeorgia Institute of Technology.
Anusha KayasthaGeorgia Institute of Technology.
Alwin A KhojaGeorgia Institute of Technology.
Joviane LeandreGeorgia Institute of Technology.
Vanshika V MehtaGeorgia Institute of Technology.
Logan OstrowskiGeorgia Institute of Technology.
Erica G PareizsGeorgia Institute of Technology.
Rebecca L ScottoGeorgia Institute of Technology.
Vanesa VargasGeorgia Institute of Technology.
Raveena M VellingiriGeorgia Institute of Technology.
Giulia VerzinoGeorgia Institute of Technology.
Rhea VohraGeorgia Institute of Technology.
Saurabh C WakadeGeorgia Institute of Technology.
Veronica M WinkeljohnGeorgia Institute of Technology.
Victoria M WinkeljohnGeorgia Institute of Technology.
Travis M RottermanGeorgia Institute of Technology.
Alberto StolfiGeorgia Institute of Technology.

Funding

Specification and maintenance of quiescent progenitor cells set aside for the biphasic life cycle of an invertebrate chordateR01GM143326 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI STOLFI, ALBERTO · 2021 to 2024
$1.3M
Plasticity of spinal neural networks directly impacts motor control following peripheral nerve injuryK99NS126576 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI ROTTERMAN, TRAVIS MICHAEL · 2023 to 2024
$206k
NIGMS NIH HHS R01 GM143326NINDS NIH HHS K99 NS126576
6 · The paper itself

Abstract

Tunicates are marine, non-vertebrate chordates that comprise the sister group to the vertebrates. Most tunicates have a biphasic lifecycle that alternates between a swimming larva and a sessile adult. Recent advances have shed light on the neural basis for the tunicate larva's ability to sense a proper substrate for settlement and initiate metamorphosis. Work in the highly tractable laboratory model tunicate

Identifiers

PMID37214826
PMCPMC10197531

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.