Evidence map›Paper›PMID 34110778›Full record

ArticleAnalytical chemistry2021

Parallel, High-Quality Proteomic and Targeted Metabolomic Quantification Using Laser Capture Microdissected Tissues.

Shichen Shen, Jun Li, Shihan Huo, Min Ma, Xiaoyu Zhu, Sailee Rasam, Xiaotao Duan, Miao Qu, Mark A Titus, Jun Qu

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Laser-Capture Microdissection Followed by ATAC-Seq.Methods in molecular biology (Clifton, N.J.) · 2026
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  17. Metabolomic Biomarkers in Blood Samples Identify Cancers in a Mixed Population of Patients with Nonspecific Symptoms.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  18. 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

10 authors at 3 institutions in 2 countries.

Shichen ShenDepartment of Pharmaceutical Sciences, SUNY-Buffalo, Buffalo, New York 14214, United States.
Jun LiDepartment of Pharmaceutical Sciences, SUNY-Buffalo, Buffalo, New York 14214, United States.
Shihan HuoDepartment of Pharmaceutical Sciences, SUNY-Buffalo, Buffalo, New York 14214, United States.
Min MaRoswell Park Comprehensive Cancer Institute, Buffalo, New York 14203, United States.
Xiaoyu ZhuDepartment of Pharmaceutical Sciences, SUNY-Buffalo, Buffalo, New York 14214, United States.
Sailee RasamDepartment of Biochemistry, SUNY-Buffalo, Buffalo, New York 14203, United States.
Xiaotao DuanDepartment of Pharmaceutical Sciences, SUNY-Buffalo, Buffalo, New York 14214, United States.
Miao QuDepartment of Neurology, Xuanwu Hospital, Beijing, China 100053.ORCID 0000-0001-6289-9654
Mark A TitusRoswell Park Comprehensive Cancer Institute, Buffalo, New York 14203, United States.
Jun QuDepartment of Pharmaceutical Sciences, SUNY-Buffalo, Buffalo, New York 14214, United States.ORCID 0000-0002-1346-6809
University at Buffalo, State University of New York · USRoswell Park Comprehensive Cancer Center · USBeijing Xuanwu Traditional Chinese Medicine Hospital · CN

Funding

Systems Biology of GlycosylationR01HL103411 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI NEELAMEGHAM, SRIRAM · 2011 to 2025
$7.1M
Multiplex Mass Spectrometric Protein Assays for Precise Monitoring of the Pathophysiology of ObesityU01DK124020 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI QIAN, WEI-JUN · 2019 to 2022
$3.3M
NHLBI NIH HHS R01 HL103411NIDDK NIH HHS U01 DK124020
6 · The paper itself

Abstract

Quantitative proteomics/metabolomics investigation of laser-capture-microdissection (LCM) cell populations from clinical cohorts affords precise insights into disease/therapeutic mechanisms, nonetheless high-quality quantification remains a prominent challenge. Here, we devised an LC/MS-based approach allowing parallel, robust global-proteomics and targeted-metabolomics quantification from the same LCM samples, using biopsies from prostate cancer (PCa) patients as the model system. The strategy features: (i) an optimized molecular weight cutoff (MWCO) filter-based separation of proteins and small-molecule fractions with high and consistent recoveries; (ii) microscale derivatization and charge-based enrichment for ultrasensitive quantification of key androgens (LOQ = 5 fg/1k cells) with excellent accuracy/precision; (iii) reproducible/precise proteomics quantification with low-missing-data using a detergent-cocktail-based sample preparation and an IonStar pipeline for reproducible and precise protein quantification with excellent data quality. Key parameters enabling robust/reproducible quantification have been meticulously evaluated and optimized, and the results underscored the importance of surveying quantitative performances against key parameters to facilitate fit-for-purpose method development. As a proof-of-concept, high-quality quantification of the proteome and androgens in LCM samples of PCa patient-matched cancerous and benign epithelial/stromal cells was achieved (

Indexed as

MetabolomicsProteomicsHumansLaser Capture MicrodissectionLasersMaleProstatic NeoplasmsProteomeTandem Mass SpectrometryProteome

Identifiers

PMID34110778
PMCPMC10640922
OpenAlexW3172975864

What OpenQuestion holds

Textmetadata
LicenceTDM
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.