Nanonets Collect Cancer Secretome fromPericellular Space

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Show simple item record Zhou, Rong Kuang, Yi Zhou, Jie Du, Xuewen Li, Jie Shi, Junfeng Haburcak, Richard Xu, Bing 2017-10-31T17:32:23Z 2017-10-31T17:32:23Z 2016-04-21
dc.identifier.citation PLoS One 11(4): e0154126
dc.identifier.issn 1932-6203
dc.description Published article can be found at:
dc.description.abstract Identifying novel cancer biomarkers is important for early cancer detection as it can reduce mortality rates. The cancer secretome, the collection of all macromolecules secreted by a tumor cell, alters its composition compared to normal tissue, and this change plays an important role in the observation of cancer progression. The collection and accurate analysis of cancer secretomes could lead to the discovery of novel biomarkers, thus improving outcomes of cancer treatment. We unexpectedly discovered that enzyme-instructed self-assembly (EISA) of a D-peptide hydrogelator results in nanonets/hydrogel around cancer cells that overexpress ectophosphatases. Here we show that these nanonets are able to rapidly collect proteins in the pericellular space (i.e., near the surface) of cancer cells. Because the secretory substances are at their highest concentration near the cell surface, the use of pericellular nanonets to collect the cancer secretome maximizes the yield and quality of samples, reduces pre-analytical variations, and allows the dynamic profiling of secretome samples. Thus, this new approach has great potential in identifying the heterotypic signaling in tumor microenvironments thereby improving the understanding of tumor microenvironments and accelerating the discovery of potential biomarkers in cancer biology. Data are available via ProteomeXchange with identifier PXD003924.
dc.description.sponsorship Funded by the Brandeis University Open Access Fund, the NIH grant R01CA142746, the Kenneth Rainin Foundation, and the NSF grant DMR-1420382.
dc.language English
dc.language.iso eng
dc.publisher PLoS
dc.rights Copyright by authors 2016
dc.subject Cancer
dc.subject EISA
dc.subject HeLa cells
dc.subject Cell binding assay
dc.subject Bionanotechnology
dc.title Nanonets Collect Cancer Secretome fromPericellular Space
dc.type Article

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