Single-cell technologies have positioned themselves at the forefront of biomedical research. These platforms allow researchers to bypass the uncertainties of bulk data and instead interrogate biological systems at a level of detail that was previously unreachable. by Ruairi J MacKenzie
Single-cell technologies have positioned themselves at the forefront of biomedical research. These platforms allow researchers to bypass the uncertainties of bulk data and instead interrogate biological systems at a level of detail that was previously unreachable. But the value of these systems risks being impaired by bottlenecks in data analysis
Peptides play important roles in human physiology. They present as intact peptides or can arise from protein degradation. Regardless of the source, peptidomics—the characterization of intact peptides in a biological sample—is fast emerging as an approach to uncover another layer in human health and disease.
Over the past 5 decades or so, the growing understanding that RNA can influence protein function through routes other than direct translation has opened the prospect of discovering small molecules for tackling diseases in novel ways.
