11 papers · ranked by Valyu relevance
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…
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…
Zhida Luo, Cheng Wang, Yan Zhou, Tuhin Kumar Guha + 12 more
Human pregnancy unfolds in a unique mosaic tissue context. Embryonic/fetal placental and maternal uterine cells (decidua basalis) coalesce, forming the basal plate where immune tolerance is coordinated and the utero-placental circulation is initiated. The remaining approximately 70% of the maternal-fetal interface is…
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…
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…
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…
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…
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…
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…
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…
Matheus da Silveira Costa, Henrique Izaias Marcelo, Gabriel Albanese Kafouri, Vinicius de Camargo
Colorectal cancer (CRC) is a major cause of cancer-related mortality, with distant metastasis strongly associated with poor clinical outcomes. Integrating transcriptomic and epigenomic data through machine learning may improve the molecular characterization of metastatic CRC. We analyzed 518 primary tumors from the…