Diagnostics and correction of batch effects in large‐scale proteomic studies: a tutorial

J Čuklina, CH Lee, EG Williams, T Sajic… - Molecular systems …, 2021 - embopress.org
Advancements in mass spectrometry‐based proteomics have enabled experiments
encompassing hundreds of samples. While these large sample sets deliver much‐needed …

Proximity labeling in plants

SL Xu, R Shrestha, SS Karunadasa… - Annual review of plant …, 2023 - annualreviews.org
Proteins are workhorses in the cell; they form stable and more often dynamic, transient
protein–protein interactions, assemblies, and networks and have an intimate interplay with …

Virus-host interactome and proteomic survey reveal potential virulence factors influencing SARS-CoV-2 pathogenesis

J Li, M Guo, X Tian, X Wang, X Yang, P Wu, C Liu… - Med, 2021 - cell.com
Background The ongoing coronavirus disease 2019 (COVID-19) pandemic caused by
severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a global public health …

Synergistic biodegradation of aromatic-aliphatic copolyester plastic by a marine microbial consortium

IE Meyer-Cifuentes, J Werner, N Jehmlich… - Nature …, 2020 - nature.com
The degradation of synthetic polymers by marine microorganisms is not as well understood
as the degradation of plastics in soil and compost. Here, we use metagenomics …

metaX: a flexible and comprehensive software for processing metabolomics data

B Wen, Z Mei, C Zeng, S Liu - BMC bioinformatics, 2017 - Springer
Background Non-targeted metabolomics based on mass spectrometry enables high-
throughput profiling of the metabolites in a biological sample. The large amount of data …

Assessment of variability in the SOMAscan assay

J Candia, F Cheung, Y Kotliarov, G Fantoni, B Sellers… - Scientific reports, 2017 - nature.com
SOMAscan is an aptamer-based proteomics assay capable of measuring 1,305 human
protein analytes in serum, plasma, and other biological matrices with high sensitivity and …

NOREVA: normalization and evaluation of MS-based metabolomics data

B Li, J Tang, Q Yang, S Li, X Cui, Y Li… - Nucleic acids …, 2017 - academic.oup.com
Diverse forms of unwanted signal variations in mass spectrometry-based metabolomics data
adversely affect the accuracies of metabolic profiling. A variety of normalization methods …

NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data

Q Yang, Y Wang, Y Zhang, F Li, W Xia… - Nucleic acids …, 2020 - academic.oup.com
Biological processes (like microbial growth & physiological response) are usually dynamic
and require the monitoring of metabolic variation at different time-points. Moreover, there is …

A systematic evaluation of normalization methods in quantitative label-free proteomics

T Välikangas, T Suomi, LL Elo - Briefings in bioinformatics, 2018 - academic.oup.com
To date, mass spectrometry (MS) data remain inherently biased as a result of reasons
ranging from sample handling to differences caused by the instrumentation. Normalization is …

Proximity labeling of protein complexes and cell-type-specific organellar proteomes in Arabidopsis enabled by TurboID

A Mair, SL Xu, TC Branon, AY Ting, DC Bergmann - elife, 2019 - elifesciences.org
Defining specific protein interactions and spatially or temporally restricted local proteomes
improves our understanding of all cellular processes, but obtaining such data is challenging …