Evidence map›Paper›PMID 38777089›Full record

ArticleJournal of proteomics2024

SHIP1 modulation and proteome characterization of microglia.

Erpan Ahat, Zanyu Shi, Shaoyou Chu, Hai Hoang Bui, Emily R Mason, Disha M Soni, Kenneth D Roth, Michael James Chalmers, Adrian L Oblak, Jie Zhang and 2 more

Abstract read
In one paragraph

Article in Journal of proteomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

12 authors.

Erpan AhatEli Lilly and Company, Indianapolis, USA. Electronic address: ahat_erpan@lilly.com.
Zanyu ShiDepartment of Biostatistics & Health Data Science, Indiana University School of Medicine, Indianapolis, USA.
Shaoyou ChuDepartment of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, USA.
Hai Hoang BuiEli Lilly and Company, Indianapolis, USA.
Emily R MasonDepartment of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, USA.
Disha M SoniStark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Kenneth D RothEli Lilly and Company, Indianapolis, USA.
Michael James ChalmersEli Lilly and Company, Indianapolis, USA.
Adrian L OblakDepartment of Radiology & Imaging Sciences, Indiana University School of Medicine, Indianapolis, USA; Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Jie ZhangDepartment of Biostatistics & Health Data Science, Indiana University School of Medicine, Indianapolis, USA.
Jesus A GutierrezEli Lilly and Company, Indianapolis, USA.
Timothy RichardsonDepartment of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, USA; Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA.

Funding

Structural Biology CoreU54AG065181 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI Bruce T Lamb, Alan D. Palkowitz · 2019 to 2026
$61.3M
NIA NIH HHS U54 AG065181
6 · The paper itself

Abstract

Understanding microglial states in the aging brain has become crucial, especially with the discovery of numerous Alzheimer's disease (AD) risk and protective variants in genes such as INPP5D and TREM2, which are essential to microglia function in AD. Here we present a thorough examination of microglia-like cells and primary mouse microglia at the proteome and transcriptome levels to illuminate the roles these genes and the proteins they encode play in various cell states. First, we compared the proteome profiles of wildtype and INPP5D (SHIP1) knockout primary microglia. Our findings revealed significant proteome alterations only in the homozygous SHIP1 knockout, revealing its impact on the microglial proteome. Additionally, we compared the proteome and transcriptome profiles of commonly used in vitro microglia BV2 and HMC3 cells with primary mouse microglia. Our results demonstrated a substantial similarity between the proteome of BV2 and mouse primary cells, while notable differences were observed between BV2 and human HMC3. Lastly, we conducted targeted lipidomic analysis to quantify different phosphatidylinositols (PIs) species, which are direct SHIP1 targets, in the HMC3 and BV2 cells. This in-depth omics analysis of both mouse and human microglia enhances our systematic understanding of these microglia models. SIGNIFICANCE: Given the growing urgency of comprehending microglial function in the context of neurodegenerative diseases and the substantial therapeutic implications associated with SHIP1 modulation, we firmly believe that our study, through a rigorous and comprehensive proteomics, transcriptomics and targeted lipidomic analysis of microglia, contributes to the systematic understanding of microglial function in the context of neurodegenerative diseases.

Indexed as

Alzheimer DiseaseMicrogliaPhosphatidylinositol-3,4,5-Trisphosphate 5-PhosphatasesProteomeAnimalsHumansMembrane GlycoproteinsMiceMice, KnockoutPhosphatidylinositolsProteomicsReceptors, ImmunologicTranscriptomeInpp5d protein, mouseMembrane GlycoproteinsPhosphatidylinositol-3,4,5-Trisphosphate 5-PhosphatasesPhosphatidylinositolsProteomeReceptors, ImmunologicAlzheimer's diseaseMicrogliaNeurodegenerationProteomicsSHIP1TREM2

Identifiers

PMID38777089
PMCPMC12503353

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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.