Ultrasensitive single-cell proteomics workflow identifies >1000 protein groups per mammalian cell is a research paper published in Chemical Science (2020). On theSindex it has a DataRank of 0. It has been cited 244 times.
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National Cancer Institute
Grant: R33 CA225248
NIGMS NIH HHS
Grant: R01 GM138931
Additional file 1 of Exploring functional protein covariation across single cells using nPOP
Additional file 1 of Exploring functional protein covariation across single cells using nPOP
Additional file 5 of Exploring functional protein covariation across single cells using nPOP
Additional file 4 of Exploring functional protein covariation across single cells using nPOP
Additional file 2 of Exploring functional protein covariation across single cells using nPOP
Additional file 2 of Exploring functional protein covariation across single cells using nPOP
Additional file 4 of Exploring functional protein covariation across single cells using nPOP
Additional file 5 of Exploring functional protein covariation across single cells using nPOP
Additional file 1 of Optimized data-independent acquisition approach for proteomic analysis at single-cell level
Additional file 1 of Optimized data-independent acquisition approach for proteomic analysis at single-cell level