Evidence map›Paper›PMID 30955045›Full record

ArticleDiabetologia2019

Imaging mass spectrometry enables molecular profiling of mouse and human pancreatic tissue.

Boone M Prentice, Nathaniel J Hart, Neil Phillips, Rachana Haliyur, Audra Judd, Radhika Armandala, Jeffrey M Spraggins, Cindy L Lowe, Kelli L Boyd, Roland W Stein and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetologia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.6field-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

32 citing papers in PubMed, 47 citations in OpenAlex.

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  12. Multiplex protein imaging in tumour biology.Nature reviews. Cancer · 2024
    Review
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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

15 authors at 2 institutions in 1 country.

Boone M Prentice9160 MRB III, Department of Biochemistry, Vanderbilt University, Nashville, TN, 37232, USA.
Nathaniel J HartDivision of Diabetes, Endocrinology and Metabolism, Vanderbilt University Medical Center, Nashville, TN, USA.
Neil PhillipsDivision of Diabetes, Endocrinology and Metabolism, Vanderbilt University Medical Center, Nashville, TN, USA.
Rachana HaliyurDepartment of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA.
Audra JuddMass Spectrometry Research Center, Vanderbilt University, Nashville, TN, USA.
Radhika ArmandalaDivision of Diabetes, Endocrinology and Metabolism, Vanderbilt University Medical Center, Nashville, TN, USA.
Jeffrey M Spraggins9160 MRB III, Department of Biochemistry, Vanderbilt University, Nashville, TN, 37232, USA.
Cindy L LoweTranslational Pathology Shared Resource, Vanderbilt University Medical Center, Nashville, TN, USA.
Kelli L BoydTranslational Pathology Shared Resource, Vanderbilt University Medical Center, Nashville, TN, USA.
Roland W SteinDepartment of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA.
Christopher V WrightDepartment of Cell & Developmental Biology, Vanderbilt University, Nashville, TN, USA.
Jeremy L Norris9160 MRB III, Department of Biochemistry, Vanderbilt University, Nashville, TN, 37232, USA.
Alvin C PowersDivision of Diabetes, Endocrinology and Metabolism, Vanderbilt University Medical Center, Nashville, TN, USA.
Marcela BrissovaDivision of Diabetes, Endocrinology and Metabolism, Vanderbilt University Medical Center, Nashville, TN, USA.
Richard M Caprioli9160 MRB III, Department of Biochemistry, Vanderbilt University, Nashville, TN, 37232, USA. richard.m.caprioli@vanderbilt.edu.
Vanderbilt University · USVanderbilt University Medical Center · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
Coordinating Center for Beta Cell Biology ConsortiumU01DK072473 · NIDDK · VANDERBILT UNIVERSITY · PI MAGNUSON, MARK A · 2005 to 2014
$61.0M
Vanderbilt Diabetes Research CenterP30DK020593 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI OWEN P MCGUINNESS · 2012 to 2026
$29.3M
Training (pp 214-245)P41GM103391 · NIGMS · VANDERBILT UNIVERSITY · PI REYZER, MICHELLE L · 2012 to 2020
$17.7M
Vanderbilt Mouse Metabolic Physiology CenterU24DK059637 · NIDDK · VANDERBILT UNIVERSITY · PI WASSERMAN, DAVID H · 2001 to 2015
$14.9M
Supplement to Integrated Program for Human Pancreas Procurement and AnalysisUC4DK112232 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ATKINSON, MARK A., POWERS, ALVIN C · 2016 to 2020
$8.4M
Molecular Mechanisms of Human and Murine Beta Cell Proliferation and RegenerationU01DK089572 · NIDDK · VANDERBILT UNIVERSITY · PI GREINER, DALE LESLIE, HARLAN, DAVID MARSHALL · 2010 to 2014
$8.4M
Vanderbilt Mouse Metabolic Phenotyping CenterU2CDK059637 · NIDDK · VANDERBILT UNIVERSITY · PI WASSERMAN, DAVID H · 2016 to 2021
$6.3M
Discovery of Pancreatic Signatures in Type 2 Diabetes MellitusR24DK106755 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CAI, LONG, CAPRIOLI, RICHARD M · 2015 to 2019
$6.2M
Vanderbilt University Biomolecular Multimodal Imaging Center for 3-Dimensional Tissue MappingU54DK120058 · NIDDK · VANDERBILT UNIVERSITY · PI HARRIS, RAYMOND C. · 2018 to 2021
$5.7M
Humanized Mouse Avatars for T1DU01DK104218 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BREHM, MICHAEL ALLEN, GREINER, DALE LESLIE · 2019 to 2023
$4.5M
High-resolution analysis of juvenile human pancreas maturationUC4DK108120 · NIDDK · VANDERBILT UNIVERSITY · PI CAI, LONG, GRADINARU, VIVIANA · 2015 to 2015
$4.4M
BLRD VA I01 BX000666NCI NIH HHS P30 CA068485NIDDK NIH HHS F32 DK105841NIDDK NIH HHS P30 DK020593NIDDK NIH HHS R01 DK094199NIDDK NIH HHS R01 DK097829NIDDK NIH HHS R24 DK106755NIDDK NIH HHS U01 DK072473NIDDK NIH HHS U01 DK089572NIDDK NIH HHS U01 DK104218NIDDK NIH HHS U24 DK059637NIDDK NIH HHS U2C DK059637NIDDK NIH HHS U54 DK120058NIDDK NIH HHS UC4 DK104211NIDDK NIH HHS UC4 DK104218NIDDK NIH HHS UC4 DK108120NIDDK NIH HHS UC4 DK112232NIGMS NIH HHS P41 GM103391NIH HHS S10 OD021630
6 · The paper itself

Abstract

aims/hypothesisThe molecular response and function of pancreatic islet cells during metabolic stress is a complex process. The anatomical location and small size of pancreatic islets coupled with current methodological limitations have prevented the achievement of a complete, coherent picture of the role that lipids and proteins play in cellular processes under normal conditions and in diseased states. Herein, we describe the development of untargeted tissue imaging mass spectrometry (IMS) technologies for the study of in situ protein and, more specifically, lipid distributions in murine and human pancreases.

methodsWe developed matrix-assisted laser desorption/ionisation (MALDI) IMS protocols to study metabolite, lipid and protein distributions in mouse (wild-type and ob/ob mouse models) and human pancreases. IMS allows for the facile discrimination of chemically similar lipid and metabolite isoforms that cannot be distinguished using standard immunohistochemical techniques. Co-registration of MS images with immunofluorescence images acquired from serial tissue sections allowed accurate cross-registration of cell types. By acquiring immunofluorescence images first, this serial section approach guides targeted high spatial resolution IMS analyses (down to 15 μm) of regions of interest and leads to reduced time requirements for data acquisition.

resultsMALDI IMS enabled the molecular identification of specific phospholipid and glycolipid isoforms in pancreatic islets with intra-islet spatial resolution. This technology shows that subtle differences in the chemical structure of phospholipids can dramatically affect their distribution patterns and, presumably, cellular function within the islet and exocrine compartments of the pancreas (e.g. 18:1 vs 18:2 fatty acyl groups in phosphatidylcholine lipids). We also observed the localisation of specific GM3 ganglioside lipids [GM3(d34:1), GM3(d36:1), GM3(d38:1) and GM3(d40:1)] within murine islet cells that were correlated with a higher level of GM3 synthase as verified by immunostaining. However, in human pancreas, GM3 gangliosides were equally distributed in both the endocrine and exocrine tissue, with only one GM3 isoform showing islet-specific localisation. CONCLUSIONS/

interpretationThe development of more complete molecular profiles of pancreatic tissue will provide important insight into the molecular state of the pancreas during islet development, normal function, and diseased states. For example, this study demonstrates that these results can provide novel insight into the potential signalling mechanisms involving phospholipids and glycolipids that would be difficult to detect by targeted methods, and can help raise new hypotheses about the types of physiological control exerted on endocrine hormone-producing cells in islets. Importantly, the in situ measurements afforded by IMS do not require a priori knowledge of molecules of interest and are not susceptible to the limitations of immunohistochemistry, providing the opportunity for novel biomarker discovery. Notably, the presence of multiple GM3 isoforms in mouse islets and the differential localisation of lipids in human tissue underscore the important role these molecules play in regulating insulin modulation and suggest species, organ, and cell specificity. This approach demonstrates the importance of both high spatial resolution and high molecular specificity to accurately survey the molecular composition of complex, multi-functional tissues such as the pancreas.

Indexed as

AnimalsFluorescent Antibody TechniqueGangliosidesHumansImmunohistochemistryIslets of LangerhansMicePancreasSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationGangliosidesDiabetesGangliosideImaging mass spectrometryMALDIPancreasPhospholipid

Identifiers

PMID30955045
PMCPMC6553460
OpenAlexW2932601740

What OpenQuestion holds

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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.