Results 21 to 30 of about 784,733 (395)
Proteomes, 2020 PromarkerD is a proteomics derived test for predicting diabetic kidney disease that measures the concentrations of three plasma protein biomarkers, APOA4, CD5L and IBP3.
Scott Bringans +4 more
doaj +1 more source
Nature Communications, 2021 How ROS levels are regulated in cancer stem cells and their contribution to cancer resistance is currently not clear. Here, the authors show that prohibitin regulates mitochondrial ROS production stabilizing the peroxidase PRDX3 and this accounts for ...
Haohao Huang +23 more
doaj +1 more source
Applied Proteomics in ‘One Health’
Proteomes, 2021 ‘One Health’ summarises the idea that human health and animal health are interdependent and bound to the health of ecosystems. The purpose of proteomics methodologies and studies is to determine proteins present in samples of interest and to quantify ...
Eleni I. Katsarou +5 more
doaj +1 more source
dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts
Nature Communications, 2022 The dia-PASEF technology uses ion mobility separation to reduce signal interferences and increase sensitivity in proteomic experiments. Here we present a two-dimensional peak-picking algorithm and generation of optimized spectral libraries, as well as ...
V. Demichev +12 more
semanticscholar +1 more source
Quantitative single-cell proteomics as a tool to characterize cellular hierarchies
Nature Communications, 2021 Large-scale single-cell analyses are of fundamental importance in order to capture biological heterogeneity within complex cell systems, but have largely been limited to RNA-based technologies. Here we present a comprehensive benchmarked experimental and
E. Schoof +9 more
semanticscholar +1 more source
A knowledge graph to interpret clinical proteomics data
Nature Biotechnology, 2022 Implementing precision medicine hinges on the integration of omics data, such as proteomics, into the clinical decision-making process, but the quantity and diversity of biomedical data, and the spread of clinically relevant knowledge across multiple ...
Alberto Santos +10 more
semanticscholar +1 more source
High-throughput proteomics: a methodological mini-review
Laboratory Investigation, 2022 Proteomics plays a vital role in biomedical research in the post-genomic era. With the technological revolution and emerging computational and statistic models, proteomic methodology has evolved rapidly in the past decade and shed light on solving ...
Miao Cui, Chao Cheng, Lanjing Zhang
semanticscholar +1 more source
Nature Communications, 2022 Single-cell proteomics can reveal cellular phenotypic heterogeneity and cell-specific functional networks underlying biological processes. Here, we present a streamlined workflow combining microfluidic chips for all-in-one proteomic sample preparation ...
S. Gebreyesus +8 more
semanticscholar +1 more source
Pathway analysis and transcriptomics improve protein identification by shotgun proteomics from samples comprising small number of cells - a benchmarking study [PDF]
, 2014 BACKGROUND: Proteomics research is enabled with the high-throughput technologies, but our ability to identify expressed proteome is limited in small samples. The coverage and consistency of proteome expression are critical problems in proteomics.
Brusic, Vladimir +8 more
core +5 more sources
Clinical Proteomics, 2017 Background The aim was to improve upon an existing blood-based colorectal cancer (CRC) test directed to high-risk symptomatic patients, by developing a new CRC classifier to be used with a new test embodiment.
Lisa J. Croner +8 more
doaj +1 more source