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The ability to assay the molecular composition of biological systems with single-cell resolution has revolutionized our understanding of tissue heterogeneity and function. Recent advances in single-cell proteomics (SCP) now enable the unbiased quantification of the proteome to a depth of several thousand proteins across hundreds of cells. Yet, broader adoption beyond specialized groups remains limited due to the need for specific equipment and expertise. A major challenge in making these analyses more broadly available is sample preservation for the transport of biological material to SCP-capable facilities. To address this issue and provide practical solutions, we first evaluated various cell preservation methods from monolayer culture samples, then tested our optimized methodology on both cultured cells and, for the first time, preserved animal tissue from an mouse model. Our findings highlight that the feasibility of SCP analyses in preserved tissues is more likely to be successful, significantly expanding its current applicability. By optimizing upstream processing, our approach enables robust single-cell proteome analysis of both cells and tissues, making SCP more accessible to the wider scientific community. Ultimately, this advancement expands the potential applications of SCP, particularly in disciplines where analyzing rare or heterogeneous populations is beneficial.
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http://dx.doi.org/10.1021/acs.jproteome.5c00268 | DOI Listing |
Open Forum Infect Dis
September 2025
Division of Infectious Diseases, Department of Medicine, Stanford University, Stanford, California, USA.
Plasma samples obtained approximately 3 ( = 100) and 12 months ( = 78) after acute SARS-CoV-2 infection were tested for S1, spike, and N antigens. There were no significant differences in plasma proteins or single-cell protein expression levels on immune cells between those with and without plasma antigen detected.
View Article and Find Full Text PDFNat Aging
September 2025
Aging Biomarker Consortium (ABC), Beijing, China.
The global surge in the population of people 60 years and older, including that in China, challenges healthcare systems with rising age-related diseases. To address this demographic change, the Aging Biomarker Consortium (ABC) has launched the X-Age Project to develop a comprehensive aging evaluation system tailored to the Chinese population. Our goal is to identify robust biomarkers and construct composite aging clocks that capture biological age, defined as an individual's physiological and molecular state, across diverse Chinese cohorts.
View Article and Find Full Text PDFVirchows Arch
September 2025
Department of Anatomic Pathology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Lung adenocarcinoma (LUAD) associated with usual interstitial pneumonia (UIP) harbours distinct features compared to lung adenocarcinoma without UIP. Therefore, we aimed to characterise the tumour microenvironment of LUAD with UIP by focusing on cancer-associated fibroblasts (CAFs) and stromal composition. Immunohistochemistry was performed on 32 LUAD samples (16 each with and without UIP) to evaluate CAF marker expression and lymphocyte infiltration.
View Article and Find Full Text PDFCancer Biol Med
September 2025
State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Objective: The key molecular events signifying the -induced gastric carcinogenesis process are largely unknown.
Methods: Bulk tissue-proteomics profiling were leveraged across multi-stage gastric lesions from Linqu ( = 166) and Beijing sets ( = 99) and single-cell transcriptomic profiling ( = 18) to decipher key molecular signatures of -related gastric lesion progression and gastric cancer (GC) development. The association of key proteins association with gastric lesion progression and GC development were prospectively studied building on follow-up of the Linqu set and UK Biobank ( = 48,529).
Bioinform Adv
August 2025
Mount Sinai Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Motivation: Advances in high-throughput technologies have shifted the focus from bulk to single cell or spatial transcriptomic and proteomic analysis of tissues and cell cultures. The resulting increase in gene and/or protein lists leads to the subsequent growth of up- and downregulated pathways lists. This trend creates the need for pathway-network based integration strategies that allow quick exploration of shared and distinct mechanisms across datasets.
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