Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Guillaume, Harmange"'
Autor:
Ouellet, Mathieu, Kim, Jason Z., Guillaume, Harmange, Shaffer, Sydney M., Bassett, Lee C., Bassett, Dani S.
From the perfect radial symmetries of radiolarian mineral skeletons to the broken symmetry of homochirality, the logic of Nature's regularities has fascinated scientists for centuries. Some of Nature's symmetries are clearly visible in morphology and
Externí odkaz:
http://arxiv.org/abs/2202.11738
Autor:
Guillaume Harmange, Raúl A. Reyes Hueros, Dylan L. Schaff, Benjamin Emert, Michael Saint-Antoine, Laura C. Kim, Zijian Niu, Shivani Nellore, Mitchell E. Fane, Gretchen M. Alicea, Ashani T. Weeraratna, M. Celeste Simon, Abhyudai Singh, Sydney M. Shaffer
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-17 (2023)
Abstract Gene expression states persist for varying lengths of time at the single-cell level, a phenomenon known as gene expression memory. When cells switch states, losing memory of their prior state, this transition can occur in the absence of gene
Externí odkaz:
https://doaj.org/article/7b621b0b3de741a7a1b5b0d9ca428339
Autor:
Guillaume Harmange, Raúl A. Reyes Hueros, Dylan L. Schaff, Benjamin Emert, Michael Saint-Antoine, Laura C. Kim, Zijian Niu, Shivani Nellore, Mitchell E. Fane, Gretchen M. Alicea, Ashani T. Weeraratna, M. Celeste Simon, Abhyudai Singh, Sydney M. Shaffer
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/c53d5441f1eb490ba5fa7b6a29cacd3a
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Genome Biology, Vol 19, Iss 1, Pp 1-12 (2018)
Abstract Some exciting biological questions require quantifying thousands of proteins in single cells. To achieve this goal, we develop Single Cell ProtEomics by Mass Spectrometry (SCoPE-MS) and validate its ability to identify distinct human cancer
Externí odkaz:
https://doaj.org/article/ba4274c8d43f4d398b58038fdda7a31c
Autor:
Guillaume Harmange, Raúl A. Reyes Hueros, Dylan Schaff, Benjamin Emert, Michael Saint-Antoine, Shivani Nellore, Mitchell E. Fane, Gretchen M. Alicea, Ashani T. Weeraratna, Abhyudai Singh, Sydney M. Shaffer
Plasticity enables cells to change their gene expression state in the absence of a genetic change. At the single-cell level, these gene expression states can persist for different lengths of time which is a quantitative measurement referred to as gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5875584a8c92f23626fd6242fdfa3bf3
https://doi.org/10.1101/2022.06.16.496161
https://doi.org/10.1101/2022.06.16.496161
Publikováno v:
Cancer Research. 82:B028-B028
The goal of this study is to target pre-existing heterogeneity in gene expression to ultimately overcome resistance to targeted therapy in melanoma. Despite significant advances in the treatment of melanoma, many patients still fail to achieve durabl
Cellular heterogeneity is important to biological processes, including cancer and development. However, proteome heterogeneity is largely unexplored because of the limitations of existing methods for quantifying protein levels in single cells. To all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50a6717feccd394eb21a0f8a4aa69b2f
https://doi.org/10.17504/protocols.io.bgt4jwqw
https://doi.org/10.17504/protocols.io.bgt4jwqw
Autor:
Raúl A. Reyes Hueros, Abhyudai Singh, Rohit Gupte, Christopher Coté, Sydney M. Shaffer, Guillaume Harmange, Benjamin L. Emert, Danielle S. Bassett, Arjun Raj, Dylan L. Schaff, Eduardo A. Torre, Ann E. Sizemore
Publikováno v:
Cell
Non-genetic factors can cause individual cells to fluctuate substantially in gene expression levels over time. It remains unclear whether these fluctuations can persist for much longer than the time of one cell division. Current methods for measuring
Autor:
Guillaume Harmange, Bogdan Budnik, David H. Perlman, Edward Emmott, Zachary Niziolek, Nikolai Slavov, Harrison Specht
A major limitation to applying quantitative LC-MS/MS proteomics to small samples, such as single cells, are the losses incured during sample cleanup. To relieve this limitation, we developed a Minimal ProteOmic sample Preparation (mPOP) method for cu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31387f4fb08dcc7940843549a46ed0f6
https://doi.org/10.1101/399774
https://doi.org/10.1101/399774