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Increasing Throughput of Sensitive Proteomics

A new approach for increasing the throughput of sensitive and quantitative protein analysis is presented in Nature Biotechnology this week. Current mass spectrometry methods enable high-throughput proteomics of large sample amounts, but proteomics of low sample amounts remains limited in depth and throughput. To address this, a group of Northeastern University researchers developed an experimental and computational framework, dubbed plexDIA, to allow for simultaneously multiplexing the analysis of peptides and samples. PlexDIA, they write, enables a multiplicative increase in the rate of consistent protein quantification across limited sample amounts while preserving proteomic coverage, quantitative accuracy, precision, and repeatability of label-free data-independent acquisition. In single human cell experiments, the researchers show that their method could quantify roughly 1,000 proteins per cell and achieve 98 percent data completeness while using about five minutes of active chromatography per cell.

The Scan

ChatGPT Does As Well As Humans Answering Genetics Questions, Study Finds

Researchers in the European Journal of Human Genetics had ChatGPT answer genetics-related questions, finding it was about 68 percent accurate, but sometimes gave different answers to the same question.

Sequencing Analysis Examines Gene Regulatory Networks of Honeybee Soldier, Forager Brains

Researchers in Nature Ecology & Evolution find gene regulatory network differences between soldiers and foragers, suggesting bees can take on either role.

Analysis of Ashkenazi Jewish Cohort Uncovers New Genetic Loci Linked to Alzheimer's Disease

The study in Alzheimer's & Dementia highlighted known genes, but also novel ones with biological ties to Alzheimer's disease.

Tara Pacific Expedition Project Team Finds High Diversity Within Coral Reef Microbiome

In papers appearing in Nature Communications and elsewhere, the team reports on findings from the two-year excursion examining coral reefs.