What is it about?

New insights into sepsis have been gained by obtaining a large amount of data in time-lapse using a newly developed two-dimensional electrophoresis method that provides high-throughput data. The results obtained are expected to lead to the development of new preventive and therapeutic methods as well as diagnostic methods in the future.

Featured Image

Why is it important?

The ability to generate large amounts of high-throughput data from a small number of samples means that this new proteomics approach is expected to be used in many areas, not least in infectious disease research. A paradigm shift is also expected in industry, with applications not only in medicine but also in many industrial fields.


Proteomics data has traditionally been complex and difficult to decipher. However, now that large amounts of data can be obtained at high throughput, AI-based analysis can be expected. In particular, 2D electrophoresis data are suitable images for machine learning, so the more this technique is generalised and large amounts of data are obtained, the more AI-based analysis will be accelerated.

Nobuhiro Hayashi
Tokyo Institute of Technology

Read the Original

This page is a summary of: Multiple biomarkers of sepsis identified by novel time-lapse proteomics of patient serum, PLoS ONE, September 2019, PLOS,
DOI: 10.1371/journal.pone.0222403.
You can read the full text:

Open access logo


The following have contributed to this page