Evidence map›Paper›PMID 31784286›Full record

ArticleNeuron2019

Single-Cell Profiles of Retinal Ganglion Cells Differing in Resilience to Injury Reveal Neuroprotective Genes.

Nicholas M Tran, Karthik Shekhar, Irene E Whitney, Anne Jacobi, Inbal Benhar, Guosong Hong, Wenjun Yan, Xian Adiconis, McKinzie E Arnold, Jung Min Lee and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuron, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 435 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
435citing papers in PubMed, 1 pooled it
32.7field-weighted citation impact, top 1% of its field
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

435 citing papers in PubMed, 1 synthesis or guideline pooled it, 629 citations in OpenAlex.

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375 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 1 country.

Nicholas M TranCenter for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.
Karthik ShekharBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
Irene E WhitneyCenter for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.
Anne JacobiF.M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Inbal BenharBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
Guosong HongDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA; Department of Material Science and Engineering and Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.
Wenjun YanCenter for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.
Xian AdiconisBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
McKinzie E ArnoldF.M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Jung Min LeeDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA.
Joshua Z LevinBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
Dingchang LinDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA.
Chen WangF.M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Charles M LieberDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA.
Aviv RegevBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA and Department of Biology and Koch Institute, MIT, Cambridge, MA 02139, USA.
Zhigang HeF.M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Joshua R SanesCenter for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA. Electronic address: sanesj@mcb.harvard.edu.
Harvard University · USBroad Institute · USBoston Children's Hospital · USStanford University · US

Funding

Viral ModuleP30EY012196 · NEI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ZHIGANG HE · 1998 to 2026
$21.3M
Synaptic Choices in the Retinotectal SystemR01NS029169 · NINDS · WASHINGTON UNIVERSITY · PI SANES, JOSHUA R · 1991 to 2012
$6.0M
Mouse Neurodevelopmental Behavior CoreU54HD090255 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI POMEROY, SCOTT LOREN · 2016 to 2020
$5.2M
Comprehensive Classification Of Neuronal Subtypes By Single Cell TranscriptomicsU01MH105960 · NIMH · HARVARD UNIVERSITY · PI REGEV, AVIV, SANES, JOSHUA R · 2014 to 2016
$4.5M
SOCS3 and optic nerve regenerationR01EY021526 · NEI · BOSTON CHILDREN'S HOSPITAL · PI HE, ZHIGANG · 2011 to 2020
$4.1M
Synaptic Choices in the Retinotectal SystemR37NS029169 · NINDS · HARVARD UNIVERSITY · PI SANES, JOSHUA R · 2013 to 2019
$4.0M
CRSIPR screening for novel regulators of retinal ganglion cell survival and axonal regenerationR01EY030204 · NEI · BOSTON CHILDREN'S HOSPITAL · PI HE, ZHIGANG, SANES, JOSHUA R · 2019 to 2023
$2.7M
Reprogramming Strategies of Promoting Optic Nerve Regeneration and Vision RestorationR01EY026939 · NEI · BOSTON CHILDREN'S HOSPITAL · PI HE, ZHIGANG · 2016 to 2020
$2.2M
Brain Aging Studies with Single-Neuron Resolution Using Syringe-Injectable ElectronicsR00AG056636 · NIA · STANFORD UNIVERSITY · PI HONG, GUOSONG · 2018 to 2020
$745k
Determinants of type-dependent retinal ganglion cell resilience: potential targets for neuroprotection and axon regenerationR00EY029360 · NEI · BAYLOR COLLEGE OF MEDICINE · PI TRAN, NICHOLAS MINH ABELL · 2021 to 2023
$740k
Uncovering the molecular identity of retinal cell types, and their responses to nerve injury using single-cell transcriptomicsR00EY028625 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI SHEKHAR, KARTHIK · 2020 to 2022
$740k
Cell type-specific vulnerability of neurons to axonal injury: comprehensive mapping of types and gene expression analyzed by high throughput single cell RNAseqR21NS104248 · NINDS · HARVARD UNIVERSITY · PI SANES, JOSHUA R · 2017 to 2018
$465k
NEI NIH HHS F32 EY028448NEI NIH HHS K99 EY028625NEI NIH HHS K99 EY029360NEI NIH HHS P30 EY012196NEI NIH HHS R00 EY028625NEI NIH HHS R00 EY029360NEI NIH HHS R01 EY021526NEI NIH HHS R01 EY026939NEI NIH HHS R01 EY030204NIA NIH HHS K99 AG056636NIA NIH HHS R00 AG056636NICHD NIH HHS U54 HD090255NIMH NIH HHS U01 MH105960NINDS NIH HHS R01 NS029169NINDS NIH HHS R21 NS104248NINDS NIH HHS R37 NS029169
6 · The paper itself

Abstract

Neuronal types in the central nervous system differ dramatically in their resilience to injury or other insults. Here we studied the selective resilience of mouse retinal ganglion cells (RGCs) following optic nerve crush (ONC), which severs their axons and leads to death of ∼80% of RGCs within 2 weeks. To identify expression programs associated with differential resilience, we first used single-cell RNA-seq (scRNA-seq) to generate a comprehensive molecular atlas of 46 RGC types in adult retina. We then tracked their survival after ONC; characterized transcriptomic, physiological, and morphological changes that preceded degeneration; and identified genes selectively expressed by each type. Finally, using loss- and gain-of-function assays in vivo, we showed that manipulating some of these genes improved neuronal survival and axon regeneration following ONC. This study provides a systematic framework for parsing type-specific responses to injury and demonstrates that differential gene expression can be used to reveal molecular targets for intervention.

Indexed as

AnimalsCell SurvivalFemaleMaleMiceNerve CrushNerve RegenerationNeuroprotectionRetinal Ganglion Cells

Identifiers

PMID31784286
PMCPMC6923571
OpenAlexW2990382732

What OpenQuestion holds

Textmetadata
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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.