Pei Su

3 weeks ago | nature.com | Pei Su |Stanislav S. Rubakhin |Michael Caldwell |Jonathan V. Sweedler

AbstractWe perform intact proteoform profiling of 10,809 endogenous single cells from the rat hippocampus using single-cell proteoform imaging mass spectrometry (scPiMS). scPiMS directly extracts whole proteins and demonstrates high throughput for MS-based single-cell proteomics compared with existing approaches. We develop an informatics workflow dedicated to this datatype and use it to assign neurons, astrocytes or microglia cell types according to their proteoform signatures.

Dec 1, 2023 | nature.com | John McGee |Pei Su |Nicholas W Bateman |Thomas P Conrads |Jeannie M. Camarillo |Jared O. Kafader

Correction to: Nature Communications https://doi.org/10.1038/s41467-023-42208-3, published online 14 October 2023The original version of the Article contained the following errors in Fig. 2: the proteoform signature ‘7125 Da’ was incorrectly labelled as ‘PSMD1’ in panels b and c; the labels ‘237 tumor pixels’ and ‘235 stroma pixels’ were incorrectly added to panel d and they have been removed in the correct version. The correct version of Fig.

Oct 14, 2023 | nature.com | John McGee |Pei Su |Nicholas W Bateman |Thomas P Conrads |Jeannie M. Camarillo |Jared O. Kafader

AbstractThe molecular identification of tissue proteoforms by top-down mass spectrometry (TDMS) is significantly limited by throughput and dynamic range. We introduce AutoPiMS, a single-ion MS based multiplexed workflow for top-down tandem MS (MS2) directly from tissue microenvironments in a semi-automated manner. AutoPiMS directly off human ovarian cancer sections allowed for MS2 identification of 73 proteoforms up to 54 kDa at a rate of <1 min per proteoform.