Evidence map›Paper›PMID 40019391›Full record

ArticleJournal of proteome research2025

MSConnect: Open-Source, End-to-End Platform for Automated Mass Spectrometry Data Management, Analysis, and Visualization.

Xiaofeng Xie, Parker S Reyes, Hsien-Jung L Lin, G Alex Mannewitz, Thy Truong, Kei G I Webber, Samuel H Payne, Ryan T Kelly

Abstract read
In one paragraph

Article in Journal of proteome research, 2025. 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. Article
  2. Article
  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

8 authors.

Xiaofeng XieMicrOmics Technologies, LLC, Spanish Fork, Utah 84660, United States.
Parker S ReyesDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Hsien-Jung L LinDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.ORCID 0000-0003-4704-3692
G Alex MannewitzDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Thy TruongDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Kei G I WebberDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
Samuel H PayneDepartment of Biology, Brigham Young University, Provo, Utah 84602, United States.ORCID 0000-0002-8351-1994
Ryan T KellyDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.ORCID 0000-0002-3339-4443

Funding

SBIR PHASE II, TOPIC 420: INTEGRATED PLATFORM AND CONSUMABLES FOR ROBUST, SENSITIVE AND HIGH-THROUGHPUT SINGLE-CELL PROTEOMICS75N91023C00027 · NCI · MICROMICS TECHNOLOGIES LLC · PI KELLY, RYAN · 2023 to 2023
$2.0M
Advanced Sample Preparation, Separation and Multiplexed Analysis for In-Depth Proteome Profiling of >1000 Single Cells Per DayR01CA279074 · NCI · BRIGHAM YOUNG UNIVERSITY · PI KELLY, RYAN T · 2023 to 2025
$1.6M
Fully automated and ultra-high-throughput platform for in-depth single-cell proteomicsR01GM138931 · NIGMS · BRIGHAM YOUNG UNIVERSITY · PI KELLY, RYAN T · 2020 to 2023
$1.6M
Mass Spectrometry-Based Biochemical Analysis of Single Cells Beyond the Global ProteomeR35GM153179 · NIGMS · BRIGHAM YOUNG UNIVERSITY · PI Ryan T Kelly · 2024 to 2026
$1.2M
NCI NIH HHS 75N91023C00027NCI NIH HHS R01 CA279074NIGMS NIH HHS R01 GM138931NIGMS NIH HHS R35 GM153179
6 · The paper itself

Abstract

The scale of mass spectrometry-based proteomics data sets continues to increase, and the analysis workflows are becoming more complex as various steps are carried out using a multitude of software programs developed by both commercial providers and the research community. Manually shepherding data across multiple programs and in-house-developed scripts can be error prone and labor intensive. It is also difficult for others to follow the same steps, leading to poor repeatability. We have developed an integrated data management and analysis platform termed MSConnect that enables simple and traceable processing workflows across multiple programs, thus improving repeatability and automating common backup and analysis steps from the point of data collection through summarization and visualization. The open nature of the MSConnect platform enables the diverse omics community to seamlessly integrate third-party tools or develop and automate their own unique workflows. With an open license and design architecture, MSConnect has the potential to become a community-driven platform serving a wide range of MS-based omics researchers.

Indexed as

Data ManagementMass SpectrometryProteomicsSoftwareHumansWorkflowautomationdata analysisLIMSopen sourcereal-time quality control

Identifiers

PMID40019391
PMCPMC12009169

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.