Evidence map›Paper›PMID 35614064›Full record

ArticleNature communications2022

Cell type-specific biotin labeling in vivo resolves regional neuronal and astrocyte proteomic differences in mouse brain.

Sruti Rayaprolu, Sara Bitarafan, Juliet V Santiago, Ranjita Betarbet, Sydney Sunna, Lihong Cheng, Hailian Xiao, Ruth S Nelson, Prateek Kumar, Pritha Bagchi and 8 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
11.2field-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

66 citing papers in PubMed, 105 citations in OpenAlex.

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

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 1 country.

Sruti RayaproluDepartment of Neurology, Emory University, Atlanta, GA, 30322, USA.
Sara BitarafanGeorgia W. Woodruff School of Mechanical Engineering, Parker H. Petit Institute for Bioengineering and Bioscience, and Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, 30322, USA.
Juliet V SantiagoDepartment of Neurology, Emory University, Atlanta, GA, 30322, USA.
Ranjita BetarbetDepartment of Neurology, Emory University, Atlanta, GA, 30322, USA.ORCID 0000-0002-4792-8952
Sydney SunnaDepartment of Neurology, Emory University, Atlanta, GA, 30322, USA.
Lihong ChengDepartment of Neurology, Emory University, Atlanta, GA, 30322, USA.
Hailian XiaoDepartment of Neurology, Emory University, Atlanta, GA, 30322, USA.
Ruth S NelsonDepartment of Neurology, Emory University, Atlanta, GA, 30322, USA.
Prateek KumarDepartment of Neurology, Emory University, Atlanta, GA, 30322, USA.
Pritha BagchiCenter for Neurodegenerative Diseases, Emory University, Atlanta, GA, 30322, USA.ORCID 0000-0001-7229-9476
Duc M DuongCenter for Neurodegenerative Diseases, Emory University, Atlanta, GA, 30322, USA.
Annie M GoettemoellerDepartment of Cell Biology, Emory University, Atlanta, GA, 30322, USA.
Viktor János OláhDepartment of Cell Biology, Emory University, Atlanta, GA, 30322, USA.
Matt RowanDepartment of Cell Biology, Emory University, Atlanta, GA, 30322, USA.ORCID 0000-0003-0955-0706
Allan I LeveyDepartment of Neurology, Emory University, Atlanta, GA, 30322, USA.ORCID 0000-0002-3153-502X
Levi B WoodGeorgia W. Woodruff School of Mechanical Engineering, Parker H. Petit Institute for Bioengineering and Bioscience, and Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, 30322, USA.
Nicholas T SeyfriedCenter for Neurodegenerative Diseases, Emory University, Atlanta, GA, 30322, USA. nseyfri@emory.edu.ORCID 0000-0002-4507-624X
Srikant RangarajuDepartment of Neurology, Emory University, Atlanta, GA, 30322, USA. srikant.rangaraju@emory.edu.ORCID 0000-0003-2765-1500
Emory University · USGeorgia Institute of Technology · USEmory Healthcare · US

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
TREAT AD Structural Biology CoreU54AG065187 · NIA · EMORY UNIVERSITY · PI Gregory W Carter, ALLAN I LEVEY · 2019 to 2026
$69.7M
The Goizueta Alzheimer's Disease Research CenterP30AG066511 · NIA · EMORY UNIVERSITY · PI Amy D Rodriguez · 2020 to 2026
$29.0M
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
The Emory Alzheimer's Disease CenterP50AG025688 · NIA · EMORY UNIVERSITY · PI WALKER, LARY C · 2005 to 2019
$25.7M
Supplement to AMP-AD Brain Proteomic Network Enhancement, Validation and Translation into CSF BiomarkersU01AG061357 · NIA · EMORY UNIVERSITY · PI LEVEY, ALLAN I, SEYFRIED, NICHOLAS THOMAS · 2018 to 2022
$9.1M
Identifying therapeutic targets that confer synaptic resilience to Alzheimer's diseaseR01AG061800 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Christopher A. Gaiteri, Jeremy H. Herskowitz · 2018 to 2026
$6.9M
Neuron and microglia-specific proteomic signatures of ERK mediated mechanisms of Alzheimer’s diseaseR01AG075820 · NIA · YALE UNIVERSITY · PI RANGARAJU, SRIKANT, SEYFRIED, NICHOLAS THOMAS · 2021 to 2025
$5.1M
Glycoproteomics and the Glycosylation Code of the Brain in Asymptomatic and Symptomatic Alzheimer’s DiseaseRF1AG062181 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI CUMMINGS, RICHARD D, SEYFRIED, NICHOLAS THOMAS · 2018 to 2018
$4.1M
Targeting Kv1.3 potassium channels for neuro-immunomodulation in Alzheimer's DiseaseR01NS114130 · NINDS · YALE UNIVERSITY · PI RANGARAJU, SRIKANT · 2020 to 2024
$3.1M
Role of Neuronal p38 MAPK After Repetitive Mild TBIR01NS115994 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI BUCKLEY, ERIN MCGUIRE, WOOD, LEVI BENJAMIN · 2020 to 2024
$2.3M
Microglia-specific proteomic mechanisms and biomarkers of neuroinflammation in Alzheimer’s diseaseRF1AG071587 · NIA · YALE UNIVERSITY · PI RANGARAJU, SRIKANT, SEYFRIED, NICHOLAS THOMAS · 2021 to 2021
$2.1M
NCATS NIH HHS UL1 TR000454NCATS NIH HHS UL1 TR002378NIA NIH HHS F31 AG071319NIA NIH HHS F32 AG064862NIA NIH HHS P30 AG066511NIA NIH HHS P50 AG025688NIA NIH HHS R01 AG061800NIA NIH HHS R01 AG075820NIA NIH HHS R56 AG072473NIA NIH HHS RF1 AG062181NIA NIH HHS RF1 AG071587NIA NIH HHS U01 AG061357NIA NIH HHS U54 AG065187NINDS NIH HHS K08 NS099474NINDS NIH HHS R01 NS114130NINDS NIH HHS R01 NS115994
6 · The paper itself

Abstract

Proteomic profiling of brain cell types using isolation-based strategies pose limitations in resolving cellular phenotypes representative of their native state. We describe a mouse line for cell type-specific expression of biotin ligase TurboID, for in vivo biotinylation of proteins. Using adenoviral and transgenic approaches to label neurons, we show robust protein biotinylation in neuronal soma and axons throughout the brain, allowing quantitation of over 2000 neuron-derived proteins spanning synaptic proteins, transporters, ion channels and disease-relevant druggable targets. Next, we contrast Camk2a-neuron and Aldh1l1-astrocyte proteomes and identify brain region-specific proteomic differences within both cell types, some of which might potentially underlie the selective vulnerability to neurological diseases. Leveraging the cellular specificity of proteomic labeling, we apply an antibody-based approach to uncover differences in neuron and astrocyte-derived signaling phospho-proteins and cytokines. This approach will facilitate the characterization of cell-type specific proteomes in a diverse number of tissues under both physiological and pathological states.

Indexed as

BiotinProteomicsAnimalsAstrocytesBiotinylationBrainMiceNeuronsProteomeBiotinProteome

Identifiers

PMID35614064
PMCPMC9132937
OpenAlexW4281490484

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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.