Evidence map›Paper›PMID 33856812›Full record

ArticleJournal of proteome research2021

Enhancing Top-Down Proteomics of Brain Tissue with FAIMS.

James M Fulcher, Aman Makaju, Ronald J Moore, Mowei Zhou, David A Bennett, Philip L De Jager, Wei-Jun Qian, Ljiljana Paša-Tolić, Vladislav A Petyuk

Abstract read
In one paragraph

Article in Journal of proteome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  20. Modulation of α-synuclein in vitro aggregation kinetics by its alternative splice isoforms.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

9 authors.

James M FulcherBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0001-9033-3623
Aman MakajuLife Sciences Mass Spectrometry Unit, Thermo Fisher Scientific, San Jose, California 95134, United States.
Ronald J MooreBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0003-2806-2855
Mowei ZhouEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID 0000-0003-3575-3224
David A BennettRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois 60612, United States.
Philip L De JagerDepartment of Neurology, Center for Translational & Computational Neuroimmunology, Columbia University Medical Center, New York, New York 10032, United States.
Wei-Jun QianBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0002-5393-2827
Ljiljana Paša-TolićEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Vladislav A PetyukBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0003-4076-151X

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Multi-omic network-directed proteoform discovery, dissection and functional validation to prioritize novel AD therapeutic targetsU01AG061356 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2018 to 2022
$13.7M
Pathway discovery, validation and compound identification for Alzheimer's disease - SupplementU01AG046152 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2013 to 2017
$13.6M
NIA NIH HHS P30 AG010161NIA NIH HHS R01 AG015819NIA NIH HHS U01 AG046152NIA NIH HHS U01 AG061356
6 · The paper itself

Abstract

Proteomic investigations of Alzheimer's and Parkinson's disease have provided valuable insights into neurodegenerative disorders. Thus far, these investigations have largely been restricted to bottom-up approaches, hindering the degree to which one can characterize a protein's "intact" state. Top-down proteomics (TDP) overcomes this limitation; however, it is typically limited to observing only the most abundant proteoforms and of a relatively small size. Therefore, fractionation techniques are commonly used to reduce sample complexity. Here, we investigate gas-phase fractionation through high-field asymmetric waveform ion mobility spectrometry (FAIMS) within TDP. Utilizing a high complexity sample derived from Alzheimer's disease (AD) brain tissue, we describe how the addition of FAIMS to TDP can robustly improve the depth of proteome coverage. For example, implementation of FAIMS with external compensation voltage (CV) stepping at -50, -40, and -30 CV could more than double the mean number of non-redundant proteoforms, genes, and proteome sequence coverage compared to without FAIMS. We also found that FAIMS can influence the transmission of proteoforms and their charge envelopes based on their size. Importantly, FAIMS enabled the identification of intact amyloid beta (Aβ) proteoforms, including the aggregation-prone Aβ

Indexed as

Ion Mobility SpectrometryProteomicsAmyloid beta-PeptidesBrainBrain ChemistryProteomeAmyloid beta-PeptidesProteomeAlzheimer’sbrain tissuedifferential mobility spectrometryFAIMSion mobilitytop-down proteomics

Identifiers

PMID33856812
PMCPMC8672206

What OpenQuestion holds

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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.