Evidence map›Paper›PMID 26418743›Full record

ArticleeLife2015

Determining composition of micron-scale protein deposits in neurodegenerative disease by spatially targeted optical microproteomics.

Kevin C Hadley, Rishi Rakhit, Hongbo Guo, Yulong Sun, James E N Jonkman, Joanne McLaurin, Lili-Naz Hazrati, Andrew Emili, Avijit Chakrabartty

Abstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Spatial-omics: Novel approaches to probe cell heterogeneity and extracellular matrix biology.Matrix biology : journal of the International Society for Matrix Biology · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Spatiotemporal Proteomic Profiling of Human Cerebral Development.Molecular & cellular proteomics : MCP · 2017
    Article
  19. Article
  20. STOMPing at the bits.Nature methods · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Kevin C HadleyDepartment of Medical Biophysics, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.
Rishi RakhitDepartment of Chemical and Systems Biology, Stanford University, Stanford, United States.
Hongbo GuoThe Banting and Best Department of Medical Research, Terrence Donnelly Centre for Cellular & Biomolecular Research, Department of Molecular Genetics, University of Toronto, Toronto, Canada.
Yulong SunDepartment of Medical Biophysics, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.ORCID http://orcid.org/0000-0002-6665-677X
James E N JonkmanAdvanced Optical Microscopy Facility, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Joanne McLaurinDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.
Lili-Naz HazratiTanz Centre for Research in Neurodegenerative Diseases, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.
Andrew EmiliThe Banting and Best Department of Medical Research, Terrence Donnelly Centre for Cellular & Biomolecular Research, Department of Molecular Genetics, University of Toronto, Toronto, Canada.
Avijit ChakrabarttyDepartments of Biochemistry and Medical Biophysics, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatially targeted optical microproteomics (STOMP) is a novel proteomics technique for interrogating micron-scale regions of interest (ROIs) in mammalian tissue, with no requirement for genetic manipulation. Methanol or formalin-fixed specimens are stained with fluorescent dyes or antibodies to visualize ROIs, then soaked in solutions containing the photo-tag: 4-benzoylbenzyl-glycyl-hexahistidine. Confocal imaging along with two photon excitation are used to covalently couple photo-tags to all proteins within each ROI, to a resolution of 0.67 µm in the xy-plane and 1.48 µm axially. After tissue solubilization, photo-tagged proteins are isolated and identified by mass spectrometry. As a test case, we examined amyloid plaques in an Alzheimer's disease (AD) mouse model and a post-mortem AD case, confirming known plaque constituents and discovering new ones. STOMP can be applied to various biological samples including cell lines, primary cell cultures, ex vivo specimens, biopsy samples, and fixed post-mortem tissue.

Indexed as

Mass SpectrometryAnimalsMiceMicroscopy, ConfocalNeurodegenerative DiseasesOptical ImagingProteinsProteomicsProteinsbiochemistrybiophysicsconfocal microscopyhumanmass spectroscopymouseprotein foldingprotein misfoldingproteomicsstructural biology

Identifiers

PMID26418743
PMCPMC4630677

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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.