Evidence map›Paper›PMID 36778312›Full record

ArticlebioRxiv : the preprint server for biology2023

Using single-cell RNA sequencing to generate cell-type-specific split-GAL4 reagents throughout development.

Yu-Chieh David Chen, Yen-Chung Chen, Raghuvanshi Rajesh, Nathalie Shoji, Maisha Jacy, Haluk Lacin, Ted Erclik, Claude Desplan

Open access · greenAbstract readPreprint
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, 14 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Yu-Chieh David ChenDepartment of Biology, New York University, New York, NY 10003, USA.
Yen-Chung ChenDepartment of Biology, New York University, New York, NY 10003, USA.
Raghuvanshi RajeshDepartment of Biology, New York University, New York, NY 10003, USA.
Nathalie ShojiDepartment of Biology, New York University, New York, NY 10003, USA.
Maisha JacyDepartment of Biology, New York University, New York, NY 10003, USA.
Haluk LacinDepartment of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Ted ErclikDepartment of Cell and Systems Biology, University of Toronto, Toronto, M5S 1A1, Canada.
Claude DesplanDepartment of Biology, New York University, New York, NY 10003, USA.
New York University · USNew York University Abu Dhabi · AEUniversity of Toronto · CAWashington University in St. Louis · US

Funding

Resource Component: Acquisition, maintenance and distribution of Drosophila stocksP40OD018537 · OD · TRUSTEES OF INDIANA UNIVERSITY · PI Cale Whitworth · 2014 to 2026
$13.5M
Signaling from photoreceptors to the optic lobesR01EY013012 · NEI · NEW YORK UNIVERSITY · PI DESPLAN, CLAUDE · 1999 to 2024
$9.4M
Stochastic choices in the retina and optic lobesR01EY013010 · NEI · NEW YORK UNIVERSITY · PI DESPLAN, CLAUDE · 1999 to 2025
$9.1M
Coordination and propagation of cell fate choice in neural circuit assemblyF32EY032750 · NEI · NEW YORK UNIVERSITY · PI CHEN, YU-CHIEH · 2021 to 2023
$213k
NEI NIH HHS F32 EY032750NEI NIH HHS R01 EY013010NEI NIH HHS R01 EY013012NIH HHS P40 OD018537
6 · The paper itself

Abstract

Cell-type-specific tools facilitate the identification and functional characterization of distinct cell types, which underly the complexity of neuronal circuits. A large collection of existing genetic tools in Drosophila relies on enhancer activity to label different subsets of cells. These enhancer-based GAL4 lines often fail to show a predicable expression pattern to reflect the expression of nearby gene(s), partly due to an incomplete capture of the full gene regulatory elements. While genetic intersectional technique such as the split-GAL4 system further improve cell-type-specificity, it requires significant time and resource to generate and screen through combinations of enhancer expression patterns. In addition, since existing enhancer-based split-GAL4 lines that show cell-type-specific labeling in adult are not necessarily active nor specific in early development, there is a relative lack of tools for the study of neural development. Here, we use an existing single-cell RNA sequencing (scRNAseq) dataset to select gene pairs and provide an efficient pipeline to generate cell-type-specific split-GAL4 lines based on the native genetic regulatory elements. These gene-specific split-GAL4 lines can be generated from a large collection of coding intronic MiMIC/CRIMIC lines either by embryo injection or Significance Statement: Understanding the functional role of individual cell types in the nervous systems has remained a major challenge for neuroscience researchers, partly due to incomplete identification and characterization of underlying cell types. To study the development of individual cell types and their functional roles in health and disease, experimental access to a specific cell type is often a prerequisite. Here, we establish an experimental pipeline to generate gene-specific split-GAL4 guided by single-cell RNA sequencing datasets. These lines show high accuracy for labeling targeted cell types from early developmental stages to adulthood and can be applied to any tissues in Drosophila. The collection of gene-speicifc-split-GAL4 will provide a valuable resource to the entire fly research community.

Identifiers

PMID36778312
PMCPMC9915743
OpenAlexW4319165003

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.