The iTRAQ (isobaric tags for relative and absolute quantification) technique is widely
employed in proteomic workflows requiring relative quantification. Here, we review the …

The systematic and quantitative molecular analysis of mutant organisms that has been
pioneered by studies on mutant metabolomes and transcriptomes holds great promise for …

Proteomics is the large-scale study of the structure and function of proteins in complex
biological sample. Such an approach has the potential value to understand the complex …

We review and demonstrate how an empirical Bayes method, shrinking a protein's sample
variance towards a pooled estimate, leads to far more powerful and stable inference to …

Label-free quantification (LFQ) with a specific and sequentially integrated workflow of
acquisition technique, quantification tool and processing method has emerged as the …

The increasing popularity of iTRAQ for quantitative proteomics applications makes it
necessary to evaluate its relevance, accuracy, and precision for biological interpretation …

Proteomes are complex—much more so than genomes or transcriptomes. Thus, simplifying
their analysis does not simplify the issue. Proteomes are of proteoforms, not canonical …

We assess the reliability of isobaric-tags for relative and absolute quantitation (iTRAQ),
based on different types of replicate analyses taking into account technical, experimental …

Multi-parameter phenotypic profiling of small molecules provides important insights into their
mechanisms of action, as well as a systems level understanding of biological pathways and …

The label-free proteome quantification (LFQ) is multistep workflow collectively defined by
quantification tools and subsequent data manipulation methods that has been extensively …