This review provides a brief overview of the development of data‐independent acquisition
(DIA) mass spectrometry‐based proteomics and selected DIA data analysis tools. Various …

Data-independent acquisition mass spectrometry (DIA-MS) is a next generation proteomic
methodology that generates permanent digital proteome maps offering highly reproducible …

Proliferating cells exhibit a metabolic phenotype known as" aerobic glycolysis," which is
characterized by an elevated rate of glucose fermentation to lactate irrespective of oxygen …

The proteome provides unique insights into disease biology beyond the genome and
transcriptome. A lack of large proteomic datasets has restricted the identification of new …

A plethora of software suites and multiple classes of spectral libraries have been developed
to enhance the depth and robustness of data-independent acquisition (DIA) data …

The data‐independent acquisition mass spectrometry (DIA‐MS) has rapidly evolved as a
powerful alternative for highly reproducible proteome profiling with a unique strength of …

The most fundamental feature of cellular form is size, which sets the scale of all cell
biological processes. Growth, form, and function are all necessarily linked in cell biology, but …

Abstract CellMiner Cross-Database (CellMinerCDB, discover. nci. nih. gov/cellminercdb)
allows integration and analysis of molecular and pharmacological data within and across …

There are multiple reasons why the next generation of biological and medical studies
require increasing numbers of samples. Biological systems are dynamic, and the effect of a …

The N-terminal tails of eukaryotic histones are frequently posttranslationally modified. The
role of these modifications in transcriptional regulation is well-documented. However, the …