Lineage tracing reveals <i>atoh7</i> positive and negative retinal ganglion cell populations in the zebrafish retina

These data demonstrate the presence of <i>atoh7</i> positive and negative retinal cell types in the zebrafish retina, including RGCs, highlighting the potential to study survival mechanisms of <i>atoh7</i> negative RGCs and fate switch paradigms using zebrafish retinal development models.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-03-22
DOI
https://doi.org/10.64898/2026.03.19.712911
Primary Topic
Retinal Development and Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lineage tracing reveals atoh7 positive and negative retinal ganglion cell populations in the zebrafish retina

Joel B. Miesfeld, Matthew B. Veldman, D Bennett, Robert I Newland
bioRxiv (Cold Spring Harbor Laboratory)
Retinal Development and Disorders
article

Lineage tracing reveals atoh7 positive and negative retinal ganglion cell populations in the zebrafish retina

Joel B. Miesfeld, Matthew B. Veldman, D Bennett, Robert I Newland
article en

Abstract

These data demonstrate the presence of <i>atoh7</i> positive and negative retinal cell types in the zebrafish retina, including RGCs, highlighting the potential to study survival mechanisms of <i>atoh7</i> negative RGCs and fate switch paradigms using zebrafish retinal development models.

bioRxiv (Cold Spring Harbor Laboratory)
Medical College of Wisconsin (US)
Openalex Percentile: Top 13%
Retinal Development and Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.