| dc.contributor.author | Hu, Guangan | |
| dc.contributor.author | Su, Yang | |
| dc.contributor.author | Kang, Byong Ha | |
| dc.contributor.author | Fan, Zhongqi | |
| dc.contributor.author | Dong, Ting | |
| dc.contributor.author | Brown, Douglas R | |
| dc.contributor.author | Cheah, Jaime | |
| dc.contributor.author | Wittrup, Karl Dane | |
| dc.contributor.author | Chen, Jianzhu | |
| dc.date.accessioned | 2021-10-27T19:52:50Z | |
| dc.date.available | 2021-10-27T19:52:50Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/133434 | |
| dc.description.abstract | Macrophages are plastic and, in response to different local stimuli, can polarize toward multi-dimensional spectrum of phenotypes, including the pro-inflammatory M1-like and the anti-inflammatory M2-like states. Using a high-throughput phenotypic screen in a library of ~4000 FDA-approved drugs, bioactive compounds and natural products, we find ~300 compounds that potently activate primary human macrophages toward either M1-like or M2-like state, of which ~30 are capable of reprogramming M1-like macrophages toward M2-like state and another ~20 for the reverse repolarization. Transcriptional analyses of macrophages treated with 34 non-redundant compounds identify both shared and unique targets and pathways through which the tested compounds modulate macrophage activation. One M1-activating compound, thiostrepton, is able to reprogram tumor-associated macrophages toward M1-like state in mice, and exhibit potent anti-tumor activity. Our compound-screening results thus help to provide a valuable resource not only for studying the macrophage biology but also for developing therapeutics through modulating macrophage activation. | |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media LLC | |
| dc.relation.isversionof | 10.1038/s41467-021-21066-x | |
| dc.rights | Creative Commons Attribution 4.0 International license | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.source | Nature | |
| dc.title | High-throughput phenotypic screen and transcriptional analysis identify new compounds and targets for macrophage reprogramming | |
| dc.type | Article | |
| dc.contributor.department | Koch Institute for Integrative Cancer Research at MIT | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Biology | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | |
| dc.relation.journal | Nature Communications | |
| dc.eprint.version | Final published version | |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | |
| dc.date.updated | 2021-06-17T18:46:08Z | |
| dspace.orderedauthors | Hu, G; Su, Y; Kang, BH; Fan, Z; Dong, T; Brown, DR; Cheah, J; Wittrup, KD; Chen, J | |
| dspace.date.submission | 2021-06-17T18:46:11Z | |
| mit.journal.volume | 12 | |
| mit.journal.issue | 1 | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | |