Evidence map›Paper›PMID 33201688›Full record

ArticleAnalytical chemistry2020

Development and Comparative Evaluation of Endolysosomal Proximity Labeling-Based Proteomic Methods in Human iPSC-Derived Neurons.

Ashley M Frankenfield, Michael S Fernandopulle, Saadia Hasan, Michael E Ward, Ling Hao

Open access · greenAbstract readComparative Study
In one paragraph

Article in Analytical chemistry, 2020. 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
2.6field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 36 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

5 authors at 3 institutions in 2 countries.

Ashley M FrankenfieldDepartment of Chemistry, The George Washington University, Science and Engineering Hall, Suite 4000, 800 22nd Street, NW, Washington, District of Columbia 20052, United States.
Michael S FernandopulleNational Institute of Neurological Disorders and Stroke, NIH, Building 35-2A, 35 Convent Drive, Bethesda, Maryland 20892, United States.
Saadia HasanNational Institute of Neurological Disorders and Stroke, NIH, Building 35-2A, 35 Convent Drive, Bethesda, Maryland 20892, United States.
Michael E WardNational Institute of Neurological Disorders and Stroke, NIH, Building 35-2A, 35 Convent Drive, Bethesda, Maryland 20892, United States.
Ling HaoDepartment of Chemistry, The George Washington University, Science and Engineering Hall, Suite 4000, 800 22nd Street, NW, Washington, District of Columbia 20052, United States.ORCID 0000-0002-0106-5266
George Washington University · USNational Institute of Neurological Disorders and Stroke · USUniversity of Cambridge · GB

Funding

Development of Mass Spectrometry Strategies to Decipher Dynamic Lysosomal Dysfunctions in Frontotemporal DementiaR01NS121608 · NINDS · UNIV OF MARYLAND, COLLEGE PARK · PI Ling Hao · 2021 to 2026
$2.0M
Mechanisms of autophagic dysfunction in progranulin-related neurodegenerationF30AG060722 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI FERNANDOPULLE, MICHAEL · 2018 to 2022
$203k
Intramural NIH HHS Z99 NS999999NIA NIH HHS F30 AG060722NINDS NIH HHS R01 NS121608
6 · The paper itself

Abstract

Proximity-based in situ labeling techniques offer a unique way to capture both stable and transient protein-protein and protein-organelle interactions. Combining this technology with mass spectrometry (MS)-based proteomics allows us to obtain snapshots of molecular microenvironments with nanometer resolution, facilitating the discovery of complex and dynamic protein networks. However, a number of technical challenges still exist, such as interferences from endogenously biotinylated proteins and other highly abundant bystanders, how to select the proper controls to minimize false discoveries, and experimental variations among biological/technical replicates. Here, we developed a new method to capture the proteomic microenvironment of the neuronal endolysosomal network by knocking in (KI) an engineered ascorbate peroxidase (APEX) gene to the endogenous locus of lysosome-associated membrane protein 1 (LAMP1). We found that normalizing proximity labeling proteomics data to the endogenously biotinylated protein (PCCA) can greatly reduce variations and enable fair comparisons among different batches of APEX labeling and different APEX probes. We conducted a comparative evaluation between this KI-LAMP1-APEX method and our two overexpression LAMP1-APEX probes, achieving complementary coverage of both known and new lysosomal membrane and lysosomal-interacting proteins in human iPSC-derived neurons. To summarize, this study demonstrated new analytical tools to characterize lysosomal functions and microenvironment in human neurons and filled critical gaps in the field for designing and optimizing proximity labeling proteomic experiments.

Indexed as

Ascorbate PeroxidasesGene Knock-In TechniquesHumansInduced Pluripotent Stem CellsLysosomal-Associated Membrane Protein 1NeuronsPhagosomesProteomicsStaining and LabelingAscorbate PeroxidasesLysosomal-Associated Membrane Protein 1

Identifiers

PMID33201688
PMCPMC8895409
OpenAlexW3100577602

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.