Evidence map›Paper›PMID 39416173›Full record

ArticlebioRxiv : the preprint server for biology2024

A collection of split-Gal4 drivers targeting conserved signaling ligands in

Ben Ewen-Campen, Neha Joshi, Ashley Suraj Hermon, Tanuj Thakkar, Jonathan Zirin, Norbert Perrimon

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

6 authors.

Ben Ewen-CampenDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-4326-3033
Neha JoshiDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
Ashley Suraj HermonDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
Tanuj ThakkarDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
Jonathan ZirinDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
Norbert PerrimonDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0001-7542-472X

Funding

Functional genomics resources for the Drosophila - TR&D3P41GM132087 · NIGMS · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2019 to 2023
$6.8M
Using CRISPR technology to study the function of paralogous genesR24OD026435 · OD · HARVARD MEDICAL SCHOOL · PI BELLEN, HUGO J, PERRIMON, NORBERT · 2018 to 2021
$2.5M
Resources for functional studies in DrosophilaR24OD031952 · OD · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2022 to 2025
$2.2M
NIGMS NIH HHS P41 GM132087NIH HHS R24 OD026435NIH HHS R24 OD031952
6 · The paper itself

Abstract

Communication between cells in metazoan organisms is mediated by a remarkably small number of highly conserved signaling pathways. Given the relatively small number of signaling pathways, the existence of multiple related ligands for many of these pathways is thought to represent a key evolutionary innovation for encoding complexity into cell-cell signaling. Relatedly, crosstalk and other interactions between pathways is another critical feature which allows a modest number pathways to ultimately generate an enormously diverse range of outcomes. It would thus be useful to have genetic tools to identify and manipulate not only those cells which express a given signaling ligand, but also those cells that specifically co-express pairs of signaling ligands. Here, we present a collection of split-Gal4 knock-in lines targeting many of the ligands for highly conserved signaling pathways in

Identifiers

PMID39416173
PMCPMC11482896

What OpenQuestion 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 OpenQuestion graph.