Evidence map›Paper›PMID 38916175›Full record

ArticlebioRxiv : the preprint server for biology2024

Protein-coding mutation in

Mackenzie Fitzpatrick, Alexandria Szalanczy, Angela Beeson, Anusha Vora, Christina Scott, Michael Grzybowski, Jason Klotz, Nataley Der, Rong Chen, Aron M Geurts and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

11 authors.

Mackenzie FitzpatrickDepartment of Internal Medicine, Section on Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem NC, USA.
Alexandria SzalanczyDepartment of Internal Medicine, Section on Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem NC, USA.
Angela BeesonDepartment of Internal Medicine, Section on Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem NC, USA.
Anusha VoraDepartment of Internal Medicine, Section on Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem NC, USA.
Christina ScottDepartment of Internal Medicine, Section on Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem NC, USA.
Michael GrzybowskiDepartment of Physiology, Medical College of Wisconsin, Milwaukee WI, USA.
Jason KlotzDepartment of Physiology, Medical College of Wisconsin, Milwaukee WI, USA.
Nataley DerDepartment of Internal Medicine, Section on Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem NC, USA.
Rong ChenDepartment of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem NC, USA.
Aron M GeurtsDepartment of Physiology, Medical College of Wisconsin, Milwaukee WI, USA.
Leah C Solberg WoodsDepartment of Internal Medicine, Section on Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem NC, USA.

Funding

Systems genetics to identify neuronal genes for diet-induced obesityR01DK120667 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SOLBERG WOODS, LEAH CATHERINE · 2019 to 2023
$2.9M
Ethanol and mGluR2 signalingR01AA030676 · NIAAA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Rong Chen, BRIAN A MCCOOL · 2023 to 2026
$2.2M
NIAAA NIH HHS R01 AA030676NIDDK NIH HHS R01 DK120667
6 · The paper itself

Abstract

Objective: Methods: We used CRISPR-SpCas9 to mutate the TM domain of Results: Adcy3 Conclusions: These studies show that the ADCY3 TM domain plays a role in protein function, that

Indexed as

adenylate cyclasedepressiongeneticsObesityrat models

Identifiers

PMID38916175
PMCPMC11195162

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.