Browse Papers

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

1073 results

Full text 2026

Single-cell RNA-seq data of wild type and fli1b mutant zebrafish embryos

Loges LN, DeMoya R, Laverde V, et al.

Fli1b is an ETS transcription factor, which has been previously implicated in zebrafish vascular and hematopoietic development. Here we present single cell RNA sequencing data from wild-type and maternal zygotic <i>fli1b</i> mutant zebrafish embryos at …

Read PDF
Single-Cell Transcriptomics
Full text 2026

AI-driven CRISPR screening: optimizing gene editing through automation and intelligent decision support

Zhao Y, Li X, Du Y.

<h4>Background</h4>CRISPR-based genetic screening has become a central methodology in functional genomics, enabling systematic interrogation of gene function, genetic interactions and context-dependent vulnerabilities at scale. However, the rapid expansion of screening modalities-including multi-condition designs, combinatorial perturbations, …

Read PDF
Single-Cell
Full text 2026

Integrative Single-Cell Transcriptomics and Network Pharmacology Analysis of Xiao Qing Long Tang in Pediatric Cough-Variant Asthma

Cui M, Li Q, Ding X, et al.

<h4>Background</h4>Pediatric cough-variant asthma is characterized by chronic airway inflammation and epithelial dysfunction driven by complex cellular interactions and molecular regulatory networks. Understanding the cellular heterogeneity and molecular mechanisms underlying pediatric asthma pathogenesis remains challenging. Single-cell …

Read PDF
Single-Cell Transcriptomics
Full text 2026

Decoding cellular communication networks and signaling pathways in bone, skeletal muscle, and bone-muscle crosstalk through spatial transcriptomics in a young male mouse

Qiu C, Li Y, Gong Y, et al.

Bone and skeletal muscle are essential components of musculoskeletal system, enabling movement, load-bearing, and systemic homeostasis. These tissues communicate through dynamic bone-muscle crosstalk mediated by cytokines, growth factors, and extracellular-matrix (ECM) proteins. The spatial organization …

Read PDF
Single-Cell Transcriptomics
Full text 2026

Multi-omics single-cell dissection of malignant epithelial heterogeneity identifies GJB2 as an EMT-driving biomarker in triple-negative breast cancer

Xu H, Zhang C, Zhang X, et al.

BACKGROUND: Tumor heterogeneity poses a major challenge to elucidating the mechanisms underlying tumor progression and metastasis. However, the cellular heterogeneity of triple-negative breast cancer (TNBC) remains incompletely understood. METHODS: We performed an integrated analysis of …

Read PDF
Single-Cell Transcriptomics
Full text 2026

Integrated multi-omics profiling unveils a network of key signaling pathways governing ovarian function and systemic regulation in high-prolificacy goats

Jiang F, Tao H, Chen M, et al.

<h4>Background</h4>Prolificacy is a crucial economic trait in goat production, yet its underlying molecular mechanisms remain incompletely understood due to its polygenic nature. While previous studies have identified several candidate genes, a comprehensive understanding of the …

Read PDF
Single-Cell
Full text 2026

Generative models of cell dynamics: from Neural ODEs to flow matching

Richter T, Wang W, Palma A, et al.

Neural Ordinary Differential Equations (Neural ODEs) have emerged as a prominent framework for modeling complex dynamical systems. Their ability to describe a system's underlying dynamical law has attracted attention to applications in life sciences. Single-cell …

Read PDF
Single-Cell
Full text 2026

Identification and Validation of Liver Transplantation-Induced Acute Lung Injury Biomarkers Using a Bioinformatics and Experimental Approach

Guiting Y, Zhang S, Ji L, et al.

BACKGROUND Acute lung injury (ALI) after liver transplantation (LT) is a critical complication negatively affecting transplant outcomes and patient survival. However, effective biomarkers for early diagnosis remain unidentified. This study aimed to identify hub biomarkers …

Read PDF
Bioinformatics Single-Cell Transcriptomics
Full text 2025

BIWT: a bioinformatics walkthrough for embedding spatial multiomics in agent-based models for virtual cells

Bergman DR, Johnson JAI, Naji M, et al.

<h4>Summary</h4>Whereas transcriptomic and spatial profiling offer static snapshots of tissue structure, mechanistic models use biological rules to predict how tissues evolve. We present the BioInformatics WalkThrough (BIWT) software to directly initialize spatial agent-based models from …

Read PDF
Bioinformatics Single-Cell Transcriptomics