Evidence map›Paper›PMID 36465564›Full record

ArticleFrontiers in molecular biosciences2022

An optimized approach and inflation media for obtaining complimentary mass spectrometry-based omics data from human lung tissue.

Jessica K Lukowski, Heather Olson, Marija Velickovic, Juan Wang, Jennifer E Kyle, Young-Mo Kim, Sarah M Williams, Ying Zhu, Heidi L Huyck, Matthew D McGraw and 10 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 10 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

20 authors at 3 institutions in 2 countries.

Jessica K LukowskiPacific Northwest National Laboratory (PNNL), Richland, WA, United States.
Heather OlsonPacific Northwest National Laboratory (PNNL), Richland, WA, United States.
Marija VelickovicPacific Northwest National Laboratory (PNNL), Richland, WA, United States.
Juan WangPacific Northwest National Laboratory (PNNL), Richland, WA, United States.
Jennifer E KylePacific Northwest National Laboratory (PNNL), Richland, WA, United States.
Young-Mo KimPacific Northwest National Laboratory (PNNL), Richland, WA, United States.
Sarah M WilliamsPacific Northwest National Laboratory (PNNL), Richland, WA, United States.
Ying ZhuPacific Northwest National Laboratory (PNNL), Richland, WA, United States.
Heidi L HuyckDepartment of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States.
Matthew D McGrawDepartment of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States.
Cory PooleDepartment of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States.
Lisa RogersDepartment of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States.
Ravi MisraDepartment of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States.
Theodore AlexandrovStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Charles AnsongPacific Northwest National Laboratory (PNNL), Richland, WA, United States.
Gloria S PryhuberDepartment of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States.
Geremy ClairPacific Northwest National Laboratory (PNNL), Richland, WA, United States.
Joshua N AdkinsPacific Northwest National Laboratory (PNNL), Richland, WA, United States.
James P CarsonTexas Advanced Computing Center (TACC), University of Texas at Austin, Austin, TX, United States.
Christopher R AndertonPacific Northwest National Laboratory (PNNL), Richland, WA, United States.
Pacific Northwest National Laboratory · USUniversity of Rochester Medical Center · USEuropean Molecular Biology Laboratory · DE

Funding

BioRepository for INvestigation of Diseases of the Lung (BRINDL) - Phase IIIU01HL148861 · NHLBI · UNIVERSITY OF ROCHESTER · PI GLORIA S PRYHUBER · 2019 to 2026
$9.7M
The Human Lung BioMolecular Multi-Scale Atlas Program (HuBMAP-Lung)U54HL165443 · NHLBI · UNIVERSITY OF ROCHESTER · PI PRYHUBER, GLORIA S · 2022 to 2025
$8.0M
Research Center for Spatiotemporal Lung Imaging and OmicsU01HL148860 · NHLBI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI ADKINS, JOSHUA N., CARSON, JAMES PAUL · 2019 to 2023
$4.7M
NHLBI NIH HHS U01 HL148860NHLBI NIH HHS U01 HL148861NHLBI NIH HHS U54 HL165443
6 · The paper itself

Abstract

Human disease states are biomolecularly multifaceted and can span across phenotypic states, therefore it is important to understand diseases on all levels, across cell types, and within and across microanatomical tissue compartments. To obtain an accurate and representative view of the molecular landscape within human lungs, this fragile tissue must be inflated and embedded to maintain spatial fidelity of the location of molecules and minimize molecular degradation for molecular imaging experiments. Here, we evaluated agarose inflation and carboxymethyl cellulose embedding media and determined effective tissue preparation protocols for performing bulk and spatial mass spectrometry-based omics measurements. Mass spectrometry imaging methods were optimized to boost the number of annotatable molecules in agarose inflated lung samples. This optimized protocol permitted the observation of unique lipid distributions within several airway regions in the lung tissue block. Laser capture microdissection of these airway regions followed by high-resolution proteomic analysis allowed us to begin linking the lipidome with the proteome in a spatially resolved manner, where we observed proteins with high abundance specifically localized to the airway regions. We also compared our mass spectrometry results to lung tissue samples preserved using two other inflation/embedding media, but we identified several pitfalls with the sample preparation steps using this preservation method. Overall, we demonstrated the versatility of the inflation method, and we can start to reveal how the metabolome, lipidome, and proteome are connected spatially in human lungs and across disease states through a variety of different experiments.

Indexed as

laser capture microdissectionlipidsMALDImass spectrometry imagingmetabolitesmolecular pulmonologyproteins

Identifiers

PMID36465564
PMCPMC9709465
OpenAlexW4309314491

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.