14 papers · ranked by Valyu relevance
Lena Trnovec, Miha Štajdohar, Gad Shaulsky, Blaž Zupan
dictyExpress 3.0 is a React/TypeScript reimplementation of the Dictyostelium discoideum transcriptomics web server, first introduced in 2009, that unifies bulk and single-cell exploration. A long-standing gene-expression resource for the Dictyostelium community, dictyExpress is also accessible through dictyBase, the…
Huihai Wu, Ashleigh Lister, Iain Macaulay, Katie Long + 10 more
Single-cell and spatial transcriptomics are transforming our understanding of cellular heterogeneity and tissue organization, yet their analytical complexity remains a major bottleneck. Here, we present EISCA and EISTA, two standardized, end-to-end pipelines for single-cell RNA- seq and imaging-based spatial…
Florian Köhler, Anna Delgado-Tejedor, Maik Zehnsdorf, Marisol Salgado Albarran + 5 more
Short-read sequencing-based single-cell transcriptomics represents the current gold standard for studying cellular transcriptomes but remains limited in its ability to resolve full-length transcript isoforms and splicing patterns. Long-read single-cell and single-nucleus RNA sequencing (LR sc/snRNA-seq) enables the…
Pedro C Carvalho, Tori Millsteed, Robert J Henry
Spatial transcriptomics (ST) has emerged as a transformative approach for visualizing tissue landscapes, yet it faces significant challenges regarding data standardization, sparsity, and the analysis of complex genomes, particularly polyploid plants. To address these limitations, we introduce Poly Pipeline, a robust…
E. Kashuk, A. Tarakanova, A. Malygina, N. Kuzovkina + 4 more
SIRT6 is a NAD^+^-dependent sirtuin that plays central roles in chromatin regulation, DNA repair, telomere maintenance, metabolic homeostasis, and inflammatory control. Although SIRT6 have long been implicated in aging because of its association with several hallmarks of aging, the available evidence remains largely…
Negin Rahimzadeh, Samuel Morabito, Saniya Khullar, Zechuan Shi + 2 more
Interindividual heterogeneity in Alzheimer’s disease (AD) remains poorly understood, as disparate single-cell studies leave it unclear whether findings reflect shared architecture or dataset-specific idiosyncrasies. Here, we present panAD, a transcriptomic atlas of >3 million nuclei from 791 individuals across 13…
Brett Kiyota, Chaehyeon Lee, Haoyang Yao, Nozomu Yachie
The rapid expansion of single-cell genomic datasets has led to the compilation of biological resources comprising hundreds of millions of cells across tissues, developmental stages, and disease states. This has underscored the need for scalable and interpretable data representations that preserve the complex…
Francisco Tomás Ribeiro, Ali Hallaj, Roger Mora, Anita Lüthi + 2 more
Membrane potential fluctuations, driven by ion channel activity, are important regulators of processes such as action potential propagation in neurons and muscle cell contraction. These variations also occur in non-excitable cells, influencing various cellular processes, including, but not limited to, direct…
Jonathan J. Panzer, Mingming Pan, Mrudula Nair, Ian M. Loveless + 9 more
Keloid disease (KD) is a fibroproliferative skin disorder resulting from abnormal scar formation that causes pain, itching, and decreased quality of life. While multiple KD transcriptomic studies exist, the influence of cell type composition on bulk tissue gene expression is unknown. We characterized fibroblast subtype…
Jahnavi Bhaskaran, Elizabeth Ing-Simmons, Irina Balaguer Balsells, Sara Di Persio + 11 more
Gametogenesis, the production of oocytes and sperm, ensures the faithful transmission of genetic material to the next generation. In males, spermatogenesis occurs within the testis, where germ cells progress through a highly ordered developmental programme in close association with supporting somatic cells. Defects in…
Guangzheng Weng, Danfei Zhu, Yufei Zhao, Patrick C Martin + 4 more
Single-cell foundation models are increasingly adopted for downstream applications such as cell-type prediction. However, these predictions are often utilized without assessing their reliability, or by relying on a simple cutoff applied to the maximum softmax probability (MSP) derived from the classifier. This raises a…
Alejandro Espinoza, Bruno J. de Andrade Silva, Matteo Pellegrini
Single-cell RNA sequencing technologies provide insights into gene expression at the cellular level, enabling detailed analysis of cellular heterogeneity. In this study, we systematically compared two scRNA-seq platforms,10X Genomics and Parse Biosciences, using human peripheral blood mononuclear cells (PBMCs) and…
Patrick D. Fischer, Sebastian Hiller
“Undruggable” proteins without surface-accessible binding sites pose significant challenges to target-based drug discovery. Innovative approaches are needed to tackle these proteins. One promising strategy is targeting them in their nascent chain form at the ribosome, where they have a different conformation than in…
Eli J. Costa, Carolina Rios-Martinez, Cecelia J. Andrews, James E. Ferrell + 1 more
Quantitatively relating transcription factor (TF) input to gene expression output is central to understanding mammalian gene regulation and essential for designing predictable synthetic expression systems. However, even minimal synthetic systems often exhibit unexplained behaviors. In a widely used inducible mammalian…