Evidence map›Paper›PMID 33623102›Full record

ArticleScientific reports2021

Metabolic labeling with an alkyne probe reveals similarities and differences in the prenylomes of several brain-derived cell lines and primary cells.

Kiall F Suazo, Angela Jeong, Mina Ahmadi, Caroline Brown, Wenhui Qu, Ling Li, Mark D Distefano

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. ACS chemical biology · 2025
    Article
  4. Article
  5. Article
  6. Article
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  13. Article
  14. ACS chemical biology · 2022
    Article
  15. Article
  16. 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

7 authors.

Kiall F SuazoDepartment of Chemistry, University of Minnesota, Minneapolis, MN, 55455, USA.ORCID https://orcid.org/0000-0002-0803-8332
Angela JeongDepartment of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, 55455, USA.ORCID https://orcid.org/0000-0002-8033-1170
Mina AhmadiDepartment of Chemistry, University of Minnesota, Minneapolis, MN, 55455, USA.
Caroline BrownDepartment of Chemistry, University of Minnesota, Minneapolis, MN, 55455, USA.ORCID https://orcid.org/0000-0002-2751-9262
Wenhui QuGraduate Program in Neuroscience, University of Minnesota, Minneapolis, MN, 55455, USA.ORCID https://orcid.org/0000-0002-3603-6051
Ling LiDepartment of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, 55455, USA.ORCID https://orcid.org/0000-0002-9245-7387
Mark D DistefanoDepartment of Chemistry, University of Minnesota, Minneapolis, MN, 55455, USA. diste001@umn.edu.ORCID https://orcid.org/0000-0002-2872-0259

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Timothy C. Hallstrom · 1998 to 2026
$100.4M
Protein prenylation inhibition for the treatment of tauopathiesR01NS107442 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PRZEDBORSKI, SERGE E · 2018 to 2022
$3.1M
Enzymatic Protein LabelingR01GM084152 · NIGMS · UNIVERSITY OF MINNESOTA · PI DISTEFANO, MARK D · 2010 to 2019
$2.6M
HDL Mimetic Peptide-Mediated Enhancement of Neurovascular Function to Mitigate Cerebral Amyloid Angiopathy and Alzheimer's DiseaseRF1AG058081 · NIA · UNIVERSITY OF MINNESOTA · PI LI, LING · 2018 to 2018
$1.9M
Dysregulation of Protein Prenylation in the Pathogenesis of Alzheimer's DiseaseRF1AG056976 · NIA · UNIVERSITY OF MINNESOTA · PI DISTEFANO, MARK D, LI, LING · 2017 to 2017
$1.9M
Testing a Unique HDL Mimetic Peptide to Reverse ApoE4 Lipidation Deficiency and Alzheimer's NeuropathologyR21AG056025 · NIA · UNIVERSITY OF MINNESOTA · PI LI, LING · 2017 to 2018
$419k
NCI NIH HHS P30 CA077598NIA NIH HHS R21 AG056025NIA NIH HHS RF1 AG056976NIA NIH HHS RF1 AG058081NIGMS NIH HHS R01 GM084152NINDS NIH HHS R01 NS107442
6 · The paper itself

Abstract

Protein prenylation involves the attachment of one or two isoprenoid group(s) onto cysteine residues positioned near the C-terminus. This modification is essential for many signal transduction processes. In this work, the use of the probe C15AlkOPP for metabolic labeling and identification of prenylated proteins in a variety of cell lines and primary cells is explored. Using a single isoprenoid analogue, 78 prenylated protein groups from the three classes of prenylation substrates were identified including three novel prenylation substrates in a single experiment. Applying this method to three brain-related cell lines including neurons, microglia, and astrocytes showed substantial overlap (25%) in the prenylated proteins identified. In addition, some unique prenylated proteins were identified in each type. Eight proteins were observed exclusively in neurons, five were observed exclusively in astrocytes and three were observed exclusively in microglia, suggesting their unique roles in these cells. Furthermore, inhibition of farnesylation in primary astrocytes revealed the differential responses of farnesylated proteins to an FTI. Importantly, these results provide a list of 19 prenylated proteins common to all the cell lines studied here that can be monitored using the C15AlkOPP probe as well as a number of proteins that were observed in only certain cell lines. Taken together, these results suggest that this chemical proteomic approach should be useful in monitoring the levels and exploring the underlying role(s) of prenylated proteins in various diseases.

Indexed as

Protein PrenylationAlkynesAnimalsAstrocytesBrainCells, CulturedChlorocebus aethiopsCOS CellsHeLa CellsHumansMass SpectrometryMiceMice, Inbred C57BLNeuronsProteomeProteomicsAlkynesProteome

Identifiers

PMID33623102
PMCPMC7902609

What Socratic 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 Socratic graph.