2022
DOI: 10.1016/j.molcel.2022.05.022
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Unbiased spatial proteomics with single-cell resolution in tissues

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Cited by 99 publications
(71 citation statements)
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References 105 publications
(139 reference statements)
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“…Recent progress in mass spectrometry instrumentation and data processing methods has led to a rapidly increasing interest in novel technologies and applications that involve proteomic profiling of ultra-low peptide amounts. These facilitate, for example, single-cell proteomics or spatial proteomic profiling of tissues, which can offer unique biological and biomedical insights [13][14][15][16][17][18][26][27][28][29] . Still, so far these methods have inevitably required peptide separation using nanoflow gradients to achieve the required sensitivity, including, in some cases, flow rates below 100 nl/min.…”
Section: Slice-pasef Facilitates High-throughput Microflow Analysis O...mentioning
confidence: 99%
See 1 more Smart Citation
“…Recent progress in mass spectrometry instrumentation and data processing methods has led to a rapidly increasing interest in novel technologies and applications that involve proteomic profiling of ultra-low peptide amounts. These facilitate, for example, single-cell proteomics or spatial proteomic profiling of tissues, which can offer unique biological and biomedical insights [13][14][15][16][17][18][26][27][28][29] . Still, so far these methods have inevitably required peptide separation using nanoflow gradients to achieve the required sensitivity, including, in some cases, flow rates below 100 nl/min.…”
Section: Slice-pasef Facilitates High-throughput Microflow Analysis O...mentioning
confidence: 99%
“…Large-scale proteomic screens for systems biology experiments and biomarker discovery in patient cohorts are now streamlined [3][4][5][6][7][8][9][10][11][12] . Furthermore, recent high-sensitivity applications, such as single-cell proteomics and spatial tissue proteomics, have been rapidly gaining traction in the field [13][14][15][16][17][18] . High sensitivity applications in proteomics are currently hampered by two key limitations.…”
Section: Introductionmentioning
confidence: 99%
“…Mapping the profiling data to the ROIs can provide vital information about the tumour and TME. Major advances in mass spectrometry hardware now enable deep profiling capabilities at the single-cell level [ 102 , 103 ]. Use of artificial intelligence to integrate high-resolution imaging data to ‘omics’ datasets (including transcriptomics) would provide an ideal function-based snapshot of the biospecimen.…”
Section: Future Directionmentioning
confidence: 99%
“…Background Spatial biology enables the interrogation of tissue composition at a single cell level with preservation of spatial context, which opens new avenues for tumor microenvironment (TME) studies. 1 Biomarkers' composition of the tissue can be interrogated with hyperplexed immunofluorescence, wherein an imaging detection is performed for each marker on the same slide. The COMET™ platform performs sequential immunofluorescence (seqIF ™) and enables full automation of such workflow, where: up to 40 biomarkers can be detected with full automation from staining to data acquisition.…”
mentioning
confidence: 99%