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1073 results

Full text 2026

Phylogenetic tree inference from single-cell RNA sequencing data with SCITE-RNA

Zimmermann N, Sun X, Hård J, et al.

We present SCITE-RNA, a novel phylogenetic tree inference method designed for single-cell RNA sequencing data which takes reference and alternative read counts of single-nucleotide variants as input. Our approach uses a maximum-likelihood random-scan greedy search …

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Single-Cell Transcriptomics
Full text 2026

Age-dependent Phylodynamics with Application to Single-cell Lineage Trees

Mulberry N, Pilarski J, Dinger J, et al.

As novel technologies for single-cell lineage tracing emerge, phylogenetic and phylodynamic tools are increasingly being used to study developmental processes. However, traditional phylodynamic methods rely on assumptions that are difficult to justify in developmental contexts. …

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Single-Cell
Full text 2026

Integrated Genomic and Single-Cell Analysis Reveals Heterogeneity, Prognosis, and Treatment Vulnerability in Urothelial Carcinoma

Tang C, Liu Y, Wang TL, et al.

At the transcriptomic level, several molecular subtyping schemes have been established to elucidate the intrinsic heterogeneity of urothelial carcinoma and to inform prognostic assessment and therapeutic guidance. However, a unified molecular classification scheme characterizing genomic …

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Bioinformatics Single-Cell Transcriptomics
Full text 2026

DoTools: a cross platform framework to streamline common single cell workflows

Ruz Jurado M, Rodriguez Morales D, Zanders L, et al.

<h4>Motivation</h4>Throughout the years, single-cell RNA sequencing (scRNA-seq) has become a standard approach for characterising transcriptomic changes associated with diseases and other biological conditions. However, the rapid expansion of tools and algorithms developed in various programming …

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Single-Cell Transcriptomics
Full text 2026

CellLoop: Identifying single-cell 3D genome chromatin loops

Ye Y, Wang Y, Liu S, et al.

Single-cell 3D genome technologies provide unprecedented views of chromatin architecture, but the extreme sparsity and noise of contact maps limit robust detection of chromatin loops at the individual cell level. Here we present CellLoop, a …

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Single-Cell
Full text 2026

A single cell transcriptional profile of benign prostatic hyperplasia

Unno R, Akutagawa J, Song H, et al.

Benign prostatic hyperplasia (BPH) is characterized by excessive cell proliferation and inflammation and affects most aging men. The development of new therapies for BPH requires a deeper understanding of the underlying pathophysiology and cellular components …

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Single-Cell
Full text 2026

ProtoCloud: A prototypical self-explaining model for single-cell analysis

Guo K, Ding J.

Cell type annotation is a fundamental task in single-cell genomics. Although various methods have been developed for automatic annotation, they often function as black-box models lacking explainability, proper uncertainty estimation, and robustness for rare cell …

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Single-Cell Transcriptomics
Full text 2026

Paired single cell analysis reveals chemotherapy resistance in osteosarcoma

Hu L, Zhang Y, Wang B, et al.

<b>Aim:</b> Osteosarcoma remains aggressive with poor prognosis, particularly in chemotherapy-resistant cases. This study aimed to characterize transcriptional features of chemoresistant osteosarcoma cells, establish a prognostic resistance signature, and identify therapeutic vulnerabilities. <b>Methods:</b> Single-cell RNA sequencing …

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Single-Cell
Full text 2026

Single cell transcriptional evolution of myeloid leukemia of Down syndrome

Trinh MK, Schuschel K, Issa H, et al.

Children with Down syndrome have a 150-fold increased risk of developing myeloid leukaemia (ML-DS). Unusually for a childhood leukaemia, ML-DS arises from a preleukaemic state, termed transient abnormal myelopoiesis (TAM), via a conserved sequence of …

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Single-Cell Transcriptomics