Browse Papers

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

2701 results

Full text 2026

Integrating spatial and single-cell transcriptomics via machine learning to characterize efferocytosis in hepatocellular carcinoma prognosis and immunotherapy

Yi Q, Zhou B, Gu X, et al.

<h4>Background</h4>The intratumoral heterogeneity and immunosuppressive microenvironment of hepatocellular carcinoma (HCC) significantly limit therapeutic efficacy. Although efferocytosis is fundamental for tissue homeostasis, its impact on the spatial architecture of the tumor microenvironment (TME) and patient prognosis …

Read PDF
Transcriptomics
Full text 2026

Integrated single-cell and bulk transcriptomics reveals an IGF2BP3-driven metabolic circuitry in endometrial cancer

Jiang R, Lin X, Zheng J, et al.

BACKGROUND: This study investigates the epigenetic-metabolic interplay in endometrial cancer (EC) through integrated single-cell and bulk multi-omics analyses, aiming to identify prognostic biomarkers and elucidate mechanisms driving metabolic reprogramming. METHODS: Single-cell RNA sequencing (scRNA-seq) data …

Read PDF
Transcriptomics
Full text 2026

Integrated Transcriptomic and Single-Cell Analyses Identify HILPDA as a Hypoxia-Mediated Regulator of Ferroptotic Signaling in Glioblastoma

Hacioglu N.

Glioblastoma (GBM) is characterized by hypoxia-driven metabolic adaptation and profound therapeutic resistance. Ferroptosis, an iron-dependent lipid peroxidation-related cell death process, has emerged as a potential vulnerability; however, its relationship with hypoxia signaling remains incompletely defined. …

Read PDF
Transcriptomics
Full text 2026

Integrating single-cell and bulk transcriptomes to reveal prognostic and immunological features of ecDNA-related genes in osteosarcoma

Feng J, Liu J, Yang H, et al.

<h4>Background</h4>The role of extrachromosomal DNA (ecDNA)-related genes in osteosarcoma remains largely unexplored. The aim of this study is to investigate the association between ecDNA-related genes and prognosis and tumor microenvironment (TME) in osteosarcoma.<h4>Methods</h4>Differential gene expression …

Read PDF
Transcriptomics
Full text 2026

Probing the Feasibility of Single-Cell Fixed RNA Sequencing from FFPE Tissue

Liu X, Naughton K, Karsen SD, et al.

Single-cell RNA sequencing (scRNA-seq) provides a comprehensive understanding of cellular complexity; however, its requirement for fresh or frozen samples limits its flexibility. To overcome this limitation to effectively leverage clinical samples, Chromium Fixed RNA Profiling …

Read PDF
Transcriptomics
Full text 2025

Characterizing Stroke Clots Using Single-Cell Sequencing

Renedo D, Barak T, DeLong J, et al.

<h4>Background</h4>Ischemic stroke results in significant morbidity and mortality. By examining gene expression of cells comprising stroke clots, we aim to gain valuable insights into the underlying mechanisms of this disease and identify potential biomarkers of …

Read PDF
Transcriptomics
Full text 2025

CD8⁺ T cell heterogeneity in aging: insights from single-cell profiling

Filippov I, Peterson P.

Inflammation progressively increases with age, resulting in a broad remodeling of the CD8⁺ T cell compartment. Recent advances in single-cell RNA sequencing (scRNA-seq) have revealed a transcriptional heterogeneity within the CD8⁺ T cell subsets, challenging …

Read PDF
Single-Cell Transcriptomics
Full text 2026

Pathogenic mechanisms of &lt;i&gt;RPGR&lt;/i&gt; mutations in X-linked retinitis pigmentosa: integrating clinical pedigree and single-cell transcriptomics

Wang X, Bai Y, Zuo X, et al.

<h4>Purpose</h4>This study aims to identify pathogenic retinitis pigmentosa G<i>TPase regulator</i> (<i>RPGR</i>) mutations in a Chinese pedigree with X-linked retinitis pigmentosa (XLRP) and elucidate the cellular and molecular mechanisms underlying <i>RPGR</i>-associated photoreceptor degeneration through the integrated …

Read PDF
Transcriptomics
Full text 2025

Systematic evaluation of tools used for single-cell m<sup>6</sup>A identification

Li Y, Xu X, Chen M, et al.

N6-methyladenosine (m<sup>6</sup>A) modifications are prevalent across all mammals and represent the most abundant type of epigenetic modification. With advancements in research, new methods for single-cell m<sup>6</sup>A modification sequencing and prediction have continuously emerged. These methods …

Read PDF
Epigenetics Single-Cell Transcriptomics
Full text 2026

Deciphering the Transcription Factor-Dominated Ecosystem During Esophageal Squamous Cell Carcinoma Progression at the Single-Cell Level

Hu C, Li X, Liang W, et al.

Esophageal squamous cell carcinoma (ESCC) progression involves dynamic cellular state transitions and tumor microenvironment remodeling, accompanied by extensive transcriptional regulation reprogramming. Here, we systematically mapped the TF-mediated regulatory landscape underlying ESCC progression at single-cell resolution …

Read PDF
Transcriptomics