Browse Papers

Search the literature by keyword, topic, or author. Filter to articles with full text available.

1073 results

Full text 2026

Integrated Single-Cell Virtual Knockout and Machine Learning Analyses Reveal a Protective Role of CKAP2 in Gastric Cancer

Yang J, Qiu Z, Song W, et al.

<b>Objective:</b> To elucidate the role of cytoskeleton-associated protein 2 (CKAP2) in gastric cancer (GC) progression and evaluate its prognostic and potential protective significance. <b>Methods:</b> The candidate genes for GC were identified using differential expression and …

Read PDF
Bioinformatics Single-Cell Transcriptomics
Full text 2026

Causal cross-trait mapping at single-cell resolution identifies shared immunogenetic drivers of migraine and Meniere's disease

Hu X, Wang Y, Yu SJ, et al.

BACKGROUND: Migraine and Meniere’s disease (MD) show high clinical comorbidity, shared symptoms such as vertigo and overlapping mechanisms like neurogenic inflammation suggest common pathophysiology. However, the core immunogenetic drivers underlying this comorbidity, particularly at cellular …

Read PDF
Single-Cell Transcriptomics
Full text 2026

Single-Cell Profiling: Any Scale, Any Size, All at Once

Goh D, Wee F, Fincham REA, et al.

Single-cell technologies have revolutionized the understanding of cellular heterogeneity, revealing distinct cell populations and functional states with molecular precision. Traditional approaches, however, are constrained by cellular dimension and throughput scale, in addition to its inability …

Read PDF
Single-Cell
Full text 2025

Single-Cell Omics in Legumes: Research Trends and Applications

Li Y, Hossain MS, Libault M.

Legumes are important food crops and play a central role in sustainable agriculture through their ability to form symbiosis with rhizobia, soil bacteria that fix atmospheric nitrogen. Recent advances in single-cell and spatial transcriptomics, along …

Read PDF
Epigenetics Single-Cell Transcriptomics
Full text 2026

scSurv: a deep generative model for single-cell survival analysis

Mizukoshi C, Kojima Y, Hayashi S, et al.

<h4>Motivation</h4>Single-cell omics analysis has unveiled the heterogeneity of various cell types within tumors. However, no methodology currently reveals how this heterogeneity influences cancer patient survival at single-cell resolution. Here, we introduce scSurv, combining a Cox …

Read PDF
Single-Cell Transcriptomics
Full text 2025

Computational Analyses and Challenges of Single-cell ATAC-seq

Wang C, Zhou J, Zhang H, et al.

Single-cell Assay for Transposase-Accessible Chromatin using sequencing (scATAC-seq) has emerged as a powerful technique to study cell-specific epigenetic landscapes and to provide a multidimensional portrait of gene regulation. However, low genomic coverage per cell results …

Read PDF
Epigenetics Single-Cell
Full text 2026

Single-cell profiling reveals CCL5Hi GZMAHi effector memory CD8 T cell association to oligoarticular JIA

Lopez-Corbeto M, Guillén Y, Jiménez-Gracia L, et al.

<h4>Objectives</h4>Oligoarticular JIA (oligo JIA) is the most common JIA subtype and is often complicated by uveitis, a potentially sight-threatening comorbidity. Despite its prevalence, the immunopathogenic mechanisms underlying oligo JIA and its extra-articular manifestations remain poorly …

Read PDF
Single-Cell Transcriptomics
Full text 2026

Single-cell transcriptomic comparison of tubular segment maturation in advanced human &lt;i&gt;in vitro&lt;/i&gt; kidney models

Pou Casellas C, Yousef Yengej FA, Ammerlaan CME, et al.

<i>In vitro</i> kidney models play a crucial role in the study of renal development, (patho)physiology, drug development, and potential applications in bioartificial kidneys. Human <i>in vitro</i> kidney models have recently advanced significantly with the development …

Read PDF
Bioinformatics Single-Cell Transcriptomics
Full text 2026

Single-cell sequencing reveals the functional heterogeneity of melanoma cells and their crosstalk with the tumor microenvironment

Qiao J, Li X, Qin Z, et al.

<h4>Background</h4>Cutaneous melanoma is a highly aggressive malignancy characterized by significant heterogeneity, rapid progression, and variable treatment responses. Understanding the functional diversity of melanoma cells and their interactions with the tumor microenvironment (TME) is crucial for …

Read PDF
Single-Cell Transcriptomics
Full text 2025

Clinical application of single-cell RNA sequencing in disease and therapy

Nadukkandy AS, Kalaiselvan S, Lin L, et al.

<h4>Background</h4>The emergence of single-cell RNA sequencing (scRNA-seq) technology has revolutionized our capacity to study cell functions in complex tissue microenvironments. Traditional transcriptomic approaches, such as microarrays and bulk RNA sequencing, lacked the resolution to distinguish …

Read PDF
Single-Cell Transcriptomics