Exploration of cell state heterogeneity using single-cell proteomics through sensitivity-tailored data-independent acquisition
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DOI: 10.1038/s41467-023-41602-1
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- Yu Wang & Zhi-Ying Guan & Shao-Wen Shi & Yi-Rong Jiang & Jie Zhang & Yi Yang & Qiong Wu & Jie Wu & Jian-Bo Chen & Wei-Xin Ying & Qin-Qin Xu & Qian-Xi Fan & Hui-Feng Wang & Li Zhou & Ling Wang & Jin Fa, 2024. "Pick-up single-cell proteomic analysis for quantifying up to 3000 proteins in a Mammalian cell," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
- Karl K. Krull & Syed Azmal Ali & Jeroen Krijgsveld, 2024. "Enhanced feature matching in single-cell proteomics characterizes IFN-γ response and co-existence of cell states," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
- Anne-Lise Marie & Yunfan Gao & Alexander R. Ivanov, 2024. "Native N-glycome profiling of single cells and ng-level blood isolates using label-free capillary electrophoresis-mass spectrometry," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
- Zilu Ye & Pierre Sabatier & Javier Martin-Gonzalez & Akihiro Eguchi & Maico Lechner & Ole Østergaard & Jingsheng Xie & Yuan Guo & Lesley Schultz & Rafaela Truffer & Dorte B. Bekker-Jensen & Nicolai Ba, 2024. "One-Tip enables comprehensive proteome coverage in minimal cells and single zygotes," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
- Manuel Matzinger & Anna Schmücker & Ramesh Yelagandula & Karel Stejskal & Gabriela Krššáková & Frédéric Berger & Karl Mechtler & Rupert L. Mayer, 2024. "Micropillar arrays, wide window acquisition and AI-based data analysis improve comprehensiveness in multiple proteomic applications," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
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