Chemoselective Characterization of New Extracellular Matrix Deposition in Bioengineered Tumor Tissues

Z Zihan Ling B Burke Niego (Department of Chemistry University of Wisconsin Madison WI 53706 USA) Q Qingyang Li D Dhruv Bhattaram (Department of Biomedical Engineering Carnegie Mellon University Pittsburgh PA 15213 USA) V Vanessa Serna Villa (Department of Biomedical Engineering Carnegie Mellon University Pittsburgh PA 15213 USA) M Michael Hu (Department of Biomedical Engineering Carnegie Mellon University Pittsburgh PA 15213 USA) Z Zhuowei Gong (Department of Biomedical Engineering Carnegie Mellon University Pittsburgh PA 15213 USA) L Lloyd M. Smith B Brian L. Frey (Department of Chemistry University of Wisconsin Madison WI 53706 USA) X Xi Ren (2Genome Institute of Singapore, Laboratory of Systems Biology and Data Analytics, Singapore, Singapore)

Abstract

Abstract In both native and engineered tissues, the extracellular matrix (ECM) supports and regulates nearly all aspects of cellular pathophysiology, and in response, cells extensively remodel their surrounding extracellular environments through new ECM protein deposition. Understanding this intricate bi‐directional cell‐ECM interaction is key to tissue engineering, but it remains challenging to investigate. This is partly due to the limited sensitivity of conventional proteomics to capture low‐abundance newly synthesized ECM (newsECM). This study presents a glycosylation‐enabled, chemoselective strategy to label, enrich, and characterize newsECM proteins with augmented specificity and sensitivity. Applying newsECM profiling to bioengineered tumor tissues, either built upon decellularized ECM materials (dECM‐tumor) or as ECM‐free tumoroids, revealed distinct ECM synthesis patterns. Tumor cells cultured within dECM scaffold present elevated ECM remodeling activities, mediated by augmented digestion of pre‐existing ECM coupled with upregulated synthesis of tumor‐associated ECM components. These findings highlight the sensitivity of newsECM profiling to capture remodeling events that are otherwise under‐represented by bulk proteomics and underscore the significance of dECM support for enabling native‐like tumor cell behaviors. The newsECM profiling described here is anticipated to be applicable to a wide range of engineered tissue models and pathophysiological processes to deliver fundamental insights regarding the mutual cell‐ECM crosstalk.

Article Details

Volume / Issue Vol. 37, Issue 47
Published November 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (10)

Z

Zihan Ling

B

Burke Niego

Department of Chemistry University of Wisconsin Madison WI 53706 USA

Q

Qingyang Li

D

Dhruv Bhattaram

Department of Biomedical Engineering Carnegie Mellon University Pittsburgh PA 15213 USA

V

Vanessa Serna Villa

Department of Biomedical Engineering Carnegie Mellon University Pittsburgh PA 15213 USA

M

Michael Hu

Department of Biomedical Engineering Carnegie Mellon University Pittsburgh PA 15213 USA

Z

Zhuowei Gong

Department of Biomedical Engineering Carnegie Mellon University Pittsburgh PA 15213 USA

L

Lloyd M. Smith

B

Brian L. Frey

Department of Chemistry University of Wisconsin Madison WI 53706 USA

X

Xi Ren

2Genome Institute of Singapore, Laboratory of Systems Biology and Data Analytics, Singapore, Singapore