Evidence map›Paper›PMID 31149808›Full record

ArticleAnalytical chemistry2019

MicroLESA: Integrating Autofluorescence Microscopy, In Situ Micro-Digestions, and Liquid Extraction Surface Analysis for High Spatial Resolution Targeted Proteomic Studies.

Daniel J Ryan, Nathan Heath Patterson, Nicole E Putnam, Aimee D Wilde, Andy Weiss, William J Perry, James E Cassat, Eric P Skaar, Richard M Caprioli, Jeffrey M Spraggins

Abstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
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  11. Article
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  13. Review
  14. Imaging mass spectrometry reveals complex lipid distributions acrossJournal of mass spectrometry and advances in the clinical lab · 2022
    Article
  15. Article
  16. Proteoform-Selective Imaging of Tissues Using Mass Spectrometry.Angewandte Chemie (International ed. in English) · 2022
    Article
  17. Review
  18. Review
  19. Article
  20. Review
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

10 authors.

Daniel J RyanDepartment of Chemistry , Vanderbilt University , 7330 Stevenson Center, Station B 351822 , Nashville , Tennessee 37235 , United States.ORCID 0000-0001-8201-1472
Nathan Heath PattersonMass Spectrometry Research Center , Vanderbilt University , 465 21st Avenue South #9160 , Nashville , Tennessee 37235 , United States.ORCID 0000-0002-0064-1583
Nicole E PutnamDepartment of Pathology, Microbiology and Immunology , Vanderbilt University School of Medicine , Nashville , Tennessee 37232 , United States.
Aimee D WildeDepartment of Pathology, Microbiology and Immunology , Vanderbilt University School of Medicine , Nashville , Tennessee 37232 , United States.
Andy WeissDepartment of Pathology, Microbiology and Immunology , Vanderbilt University School of Medicine , Nashville , Tennessee 37232 , United States.
William J PerryDepartment of Chemistry , Vanderbilt University , 7330 Stevenson Center, Station B 351822 , Nashville , Tennessee 37235 , United States.
James E CassatDepartment of Pathology, Microbiology and Immunology , Vanderbilt University School of Medicine , Nashville , Tennessee 37232 , United States.
Eric P SkaarDepartment of Pathology, Microbiology and Immunology , Vanderbilt University School of Medicine , Nashville , Tennessee 37232 , United States.
Richard M CaprioliDepartment of Chemistry , Vanderbilt University , 7330 Stevenson Center, Station B 351822 , Nashville , Tennessee 37235 , United States.ORCID 0000-0001-5859-3310
Jeffrey M SpragginsDepartment of Chemistry , Vanderbilt University , 7330 Stevenson Center, Station B 351822 , Nashville , Tennessee 37235 , United States.ORCID 0000-0001-9198-5498

Funding

Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RICHARD M. PEEK · 2002 to 2026
$29.9M
Training (pp 214-245)P41GM103391 · NIGMS · VANDERBILT UNIVERSITY · PI REYZER, MICHELLE L · 2012 to 2020
$17.7M
Vanderbilt University Biomolecular Multimodal Imaging Center for 3-Dimensional Tissue MappingU54DK120058 · NIDDK · VANDERBILT UNIVERSITY · PI HARRIS, RAYMOND C. · 2018 to 2021
$5.7M
Molecular mapping of microbial communities at the host-pathogen interface by multi-modal 3-dimensional imaging mass spectrometryR01AI138581 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Eric P Skaar, Jeffrey M Spraggins · 2018 to 2026
$5.2M
The impact of hypoxia on Staphylococcus aureus metabolism and virulence during osteomyelitisR01AI132560 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CASSAT, JAMES E · 2017 to 2021
$1.9M
Host-pathogen interactions during osteomyelitisK08AI113107 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CASSAT, JAMES E · 2014 to 2018
$885k
NIAID NIH HHS K08 AI113107NIAID NIH HHS R01 AI132560NIAID NIH HHS R01 AI138581NIDDK NIH HHS P30 DK058404NIDDK NIH HHS U54 DK120058NIGMS NIH HHS P41 GM103391
6 · The paper itself

Abstract

The ability to target discrete features within tissue using liquid surface extractions enables the identification of proteins while maintaining the spatial integrity of the sample. Here, we present a liquid extraction surface analysis (LESA) workflow, termed microLESA, that allows proteomic profiling from discrete tissue features of ∼110 μm in diameter by integrating nondestructive autofluorescence microscopy and spatially targeted liquid droplet micro-digestion. Autofluorescence microscopy provides the visualization of tissue foci without the need for chemical stains or the use of serial tissue sections. Tryptic peptides are generated from tissue foci by applying small volume droplets (∼250 pL) of enzyme onto the surface prior to LESA. The microLESA workflow reduced the diameter of the sampled area almost 5-fold compared to previous LESA approaches. Experimental parameters, such as tissue thickness, trypsin concentration, and enzyme incubation duration, were tested to maximize proteomics analysis. The microLESA workflow was applied to the study of fluorescently labeled Staphylococcus aureus infected murine kidney to identify unique proteins related to host defense and bacterial pathogenesis. Proteins related to nutritional immunity and host immune response were identified by performing microLESA at the infectious foci and surrounding abscess. These identifications were then used to annotate specific proteins observed in infected kidney tissue by MALDI FT-ICR IMS through accurate mass matching.

Indexed as

AnimalsFluorescent DyesKidneyLiquid-Liquid ExtractionMiceMicroscopy, FluorescencePeptidesProteinsProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStaphylococcus aureusTrypsinFluorescent DyesPeptidesProteinsTrypsin

Identifiers

PMID31149808
PMCPMC6652190

What OpenQuestion holds

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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.