New software helps researchers decode the cellular architecture of lymphoma

Researchers have developed an open-source software package called 'spatialproteomics' to help analyze complex tissue images in cancer research. The tool allows scientists to better understand the cellular architecture of tumors, specifically in lymphoma cases.
Why it matters
This software improves the ability of researchers to map tumor microenvironments, potentially leading to more effective cancer treatments.
by Lisa Vollmar, European Molecular Biology Laboratory
edited by Lisa Lock , reviewed by Robert Egan
This article has been reviewed according to Science X's editorial process and policies . Editors have highlighted the following attributes while ensuring the content's credibility:
Add as preferred source Multiplexed imaging captures numerous proteins simultaneously in a single tissue sample, such as a lymphoma biopsy, and makes different cell types and tissue structures visible. These can then be analyzed systematically and reproducibly using the "spatialproteomics" software. Credit: UKD How cancer develops and responds to treatment depends not only on the tumor cells themselves but also on the complex ecosystem of surrounding immune cells, blood vessels and connective tissue. In B-cell non-Hodgkin lymphoma, these cellular neighborhoods can determine whether a tumor grows, evades the immune system or responds to therapy. Understanding this spatial organization has become one of the major challenges in cancer research.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in