e-ISSN: Pending
Negative / Null Result ReportOpen accessChemistry· cited by 16

Data‐Independent Acquisition Mass Spectrometry as a Tool for Metaproteomics: Interlaboratory Comparison Using a Model Microbiome

Andrew T. Rajczewski; J. Alfredo Blakeley‐Ruiz; Annaliese Meyer; Simina Vintila; Matthew R. McIlvin; Tim Van Den Bossche; Brian C. Searle; Timothy J. Griffin · 2025 · PROTEOMICS

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract (excerpt)

Mass spectrometry (MS)-based metaproteomics is used to identify and quantify proteins in microbiome samples, with the frequently used methodology being data-dependent acquisition mass spectrometry (DDA-MS). However, DDA-MS is limited in…

Excerpt shown for reference under fair use — read the full paper at the publisher.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: OpenAlex · DOI 10.1002/pmic.202400187