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1073 results

Full text 2026

A Platform for High-throughput and Ultrasensitive Immunopeptidomics

Gul A, Van Moortel L, Willems P, et al.

Mass spectrometry-based immunopeptidomics is a powerful approach for untargeted discovery of peptides presented on MHC molecules, which can guide the selection of vaccine antigens and immunotherapy targets. First-generation immunopeptidomics workflows require processing of hundreds of …

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Single-Cell
Full text 2026

Plasma proteomic signatures of cellular aging predict human disease

Ding DY, Bot VA, Chen KL, et al.

Aging is asynchronous across cells and organs. Here we tested whether plasma proteomics can be used to analyze cell type-specific aging. From analyses of over 7,000 plasma proteins measured in 60,542 individuals, we developed machine …

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Single-Cell
Full text 2026

Deep visual proteomics uncovers nociceptor diversity and pain targets

Chakrabarti S, Makhmut A, Mohammadi A, et al.

The richness of our somatosensory experience is reflected in the functional diversity of somatic sensory neurons. Single-cell RNA sequencing of sensory neurons has revealed a molecular basis for such diversity<sup>1-3</sup>. However, sensory neuron diversity has …

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Single-Cell Transcriptomics
Full text 2026

Pro-regenerative fingerprints identified in a sub-population of adult mouse cardiomyocytes by integrative single-cell proteomics

Marín-Vicente C, Villa Del Campo C, Calvo E, et al.

<h4>Background</h4>Recent advances in instrument sensitivity and sample preparation techniques are significantly improving the ability to study the heterogeneity of cell populations at the single-cell level by mass spectrometry-based proteomics. Integrating multiple layers of cellular data …

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Single-Cell
Full text 2026

What Are the Practical Applications of Single-Cell Proteomics?

Orsburn BC.

Single-cell proteomics (SCP) is an exciting new field of study with developments in the areas of sample preparation, instrumentation and informatics. SCP has captured the imagination of biologists and clinicians and the critical interest of …

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Single-Cell Transcriptomics
Full text 2023

Revealing within-species diversity in uncultured human gut bacteria with single-cell long-read sequencing

Kogawa M, Nishikawa Y, Saeki T, et al.

Obtaining complete and accurate bacterial genomes is vital for studying the characteristics of uncultured bacteria. Single-cell genomics is a promising approach for the culture-independent recovery of bacterial genomes from individual cells. However, single-amplified genomes (SAGs) …

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Genome Assembly Metagenomics Nanopore Sequencing
Full text 2022

Robust and scalable barcoding for massively parallel long-read sequencing

Ezpeleta J, Garcia Labari I, Villanova GV, et al.

Nucleic-acid barcoding is an enabling technique for many applications, but its use remains limited in emerging long-read sequencing technologies with intrinsically low raw accuracy. Here, we apply so-called NS-watermark barcodes, whose error correction capability was …

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Nanopore Sequencing Single-Cell Transcriptomics
Full text 2023

High throughput single cell long-read sequencing analyses of same-cell genotypes and phenotypes in human tumors

Shiau CK, Lu L, Kieser R, et al.

Single-cell nanopore sequencing of full-length mRNAs transforms single-cell multi-omics studies. However, challenges include high sequencing errors and dependence on short-reads and/or barcode whitelists. To address these, we develop scNanoGPS to calculate same-cell genotypes (mutations) and …

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Nanopore Sequencing Single-Cell Transcriptomics
Full text 2025

Multi-omics strategies for biomarker discovery and application in personalized oncology

Jiang Z, Zhang H, Gao Y, et al.

Multi-omics strategies, integrating genomics, transcriptomics, proteomics, and metabolomics, have revolutionized biomarker discovery and enabled novel applications in personalized oncology. Despite rapid technological developments, a comprehensive synthesis addressing integration strategies, analytical workflows, and translational applications has …

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Single-Cell Transcriptomics
Full text 2026

TMEM184A promotes progression and drug resistance in colorectal cancer: a bioinformatics and clinical study

Bai X, Bai Z, Bu P, et al.

The cellular origin and molecular mechanisms underlying therapeutic resistance in colorectal cancer remain largely unclear.This study integrates single-cell transcriptomics, spatial transcriptomics, molecular docking, and multi-cohort public databases to systematically elucidate the epithelial cell-driven drug resistance …

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Bioinformatics Single-Cell Structural Variants