Evidence map›Paper›PMID 36333818›Full record

ArticleActa neuropathologica communications2022

Single-cell spatial proteomic imaging for human neuropathology.

Kausalia Vijayaragavan, Bryan J Cannon, Dmitry Tebaykin, Marc Bossé, Alex Baranski, J P Oliveria, Syed A Bukhari, Dunja Mrdjen, M Ryan Corces, Erin F McCaffrey and 11 more

Open access · goldAbstract read
In one paragraph

Article in Acta neuropathologica communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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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

21 authors at 3 institutions in 1 country.

Kausalia Vijayaragavan *Department of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Bryan J Cannon *Department of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Dmitry TebaykinDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Marc BosséDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Alex BaranskiDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
J P OliveriaDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Syed A BukhariDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Dunja MrdjenDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
M Ryan CorcesThe Gladstone Institutes, San Francisco, CA, USA.
Erin F McCaffreyDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Noah F GreenwaldDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Yari SigalIonpath, Inc, Menlo Park, CA, USA.
Diana MarquezDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Zumana KhairDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Trevor BruceDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Mako GoldstonDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Anusha BharadwajDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Kathleen S MontineDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
R Michael AngeloDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Thomas J MontineDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Sean C BendallDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA. bendall@stanford.edu.ORCID 0000-0003-1341-2453
Stanford University · USGladstone Institutes · USStanford Medicine · US

Funding

Stanford Alzheimer's Disease Research CenterAdmin Supp: Developing iPSC models for AD and PDP30AG066515 · NIA · STANFORD UNIVERSITY · PI LU TIAN · 2020 to 2026
$29.0M
MOLECULAR &CELLULAR IMMUNOBIOLOGYT32AI007290 · NIAID · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Olivia M Martinez · 1985 to 2026
$27.0M
Stanford Cancer Immune Monitoring and Analysis Center (CIMAC)U24CA224309 · NCI · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Holden T. Maecker · 2017 to 2026
$19.9M
Project 4: Novel reagent development to enable molecular characterizationU19AG065156 · NIA · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2020 to 2024
$15.9M
MIRIAD - Multiplexed Imaging of Resilience In Alzheimers DiseaseR01AG057915 · NIA · STANFORD UNIVERSITY · PI ANGELO, ROBERT MICHAEL, BENDALL, SEAN CURTIS · 2017 to 2021
$4.5M
Deciphering the Glycan Code in Human Alzheimer’s Disease BrainR01AG078702 · NIA · UNIVERSITY OF KENTUCKY · PI Peggi M Angel, Sean Curtis Bendall · 2022 to 2026
$3.8M
The Phenotypic Landscape of Cognitive Decline as Revealed by Next-Generation Multiplexed Ion Beam ImagingR01AG056287 · NIA · STANFORD UNIVERSITY · PI ANGELO, ROBERT MICHAEL, BENDALL, SEAN CURTIS · 2017 to 2021
$2.6M
Uncoupling Age- Versus Cognitive-Related Cellular Senescence in Alzheimer's DiseaseR01AG068279 · NIA · STANFORD UNIVERSITY · PI BENDALL, SEAN CURTIS · 2020 to 2024
$1.9M
A robust platform for multiplexed, subcellular proteomic imaging in human tissueUH3CA246633 · NCI · STANFORD UNIVERSITY · PI ANGELO, ROBERT MICHAEL, BENDALL, SEAN CURTIS · 2019 to 2021
$1.8M
Predicting response to anti-PD-1 therapy in triple negative breast cancer by comprehensive profiling of the tumor microenvironmentF31CA246880 · NCI · STANFORD UNIVERSITY · PI GREENWALD, NOAH · 2020 to 2021
$53k
NCI NIH HHS F31 CA246880NCI NIH HHS U24 CA224309NCI NIH HHS UH3 CA246633NIAID NIH HHS T32 AI007290NIA NIH HHS P30 AG066515NIA NIH HHS R01 AG056287NIA NIH HHS R01 AG057915NIA NIH HHS R01 AG068279NIA NIH HHS R01 AG078702NIA NIH HHS U19 AG065156
6 · The paper itself

Abstract

Neurodegenerative disorders are characterized by phenotypic changes and hallmark proteopathies. Quantifying these in archival human brain tissues remains indispensable for validating animal models and understanding disease mechanisms. We present a framework for nanometer-scale, spatial proteomics with multiplex ion beam imaging (MIBI) for capturing neuropathological features. MIBI facilitated simultaneous, quantitative imaging of 36 proteins on archival human hippocampus from individuals spanning cognitively normal to dementia. Customized analysis strategies identified cell types and proteopathies in the hippocampus across stages of Alzheimer's disease (AD) neuropathologic change. We show microglia-pathologic tau interactions in hippocampal CA1 subfield in AD dementia. Data driven, sample independent creation of spatial proteomic regions identified persistent neurons in pathologic tau neighborhoods expressing mitochondrial protein MFN2, regardless of cognitive status, suggesting a survival advantage. Our study revealed unique insights from multiplexed imaging and data-driven approaches for neuropathologic analysis and serves broadly as a methodology for spatial proteomic analysis of archival human neuropathology. TEASER: Multiplex Ion beam Imaging enables deep spatial phenotyping of human neuropathology-associated cellular and disease features.

Indexed as

Alzheimer DiseaseProteomicsAnimalsHippocampusHumansMicrogliaNeuropathologytau Proteinstau Proteins

Identifiers

PMID36333818
PMCPMC9636771
OpenAlexW4308296202

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.