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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
22,612 datasets
OpenStreetMap exports provide building footprints across the Congo region, including every feature tagged as a building. The Humanitarian OpenStreetMap Team (HOT) maintains this export, last updated on 2026-05-14. Completeness varies by region, with urban areas typically well-mapped and remote areas potentially incomplete.
OpenStreetMap exports contain every feature tagged as a building across Cameroon, including residential homes, hospitals, schools, and places of worship. The Humanitarian OpenStreetMap Team (HOT) provides this data, last updated on 2026-05-14. Completeness varies by region, with urban areas typically well-mapped and remote areas potentially incomplete.
Yan Liang's dataset from figshare, last updated May 2026, characterizes circular RNAs (circRNAs) in Holstein cow mammary tissue. It contains 10,388 identified circRNAs, comparing expression between the perinatal and dry physiological periods. The analysis includes differential expression results and functional enrichment pathways.
Building footprints across Côte d'Ivoire, exported from OpenStreetMap. The data includes every feature tagged as a building, ranging from residential homes to hospitals, schools, and places of worship. It was last updated on 2026-05-14 and is provided by the Humanitarian OpenStreetMap Team.
Michael Radzieta's dataset contains shotgun metagenomic sequencing results from a longitudinal study of 6 patients with diabetes-related foot ulcers who developed clinical infections. The data profiles taxonomic shifts in the wound microbiome during the transition from non-infected to infected states. It was last updated on 2026-06-02 and is shared under a CC-BY-4.0 license.
A longitudinal study by Michael Radzieta profiles the wound microbiome of 6 patients with diabetes-related foot ulcers who developed clinical infections. The dataset, last updated in 2026, uses shotgun metagenomic sequencing to track microbial shifts from non-infected to infected states. It highlights changes in pathogen and anaerobe abundance associated with infection onset.
A prognostic model for cervical cancer was constructed using seven key genes identified from mRNA data across GTEx, TCGA, and GEO databases. The 13.9 KB document, authored by Lu Zhang and last updated in June 2026, details the model's validation and its clinical association with tumor stiffness. The model stratifies patients into high- and low-risk subgroups with distinct mutation landscapes and immune cell infiltration.
Lu Zhang published a prognostic prediction model for cervical cancer on figshare in 2026. The model is based on seven tumor mechanics-related genes identified from mRNA data in TCGA, GTEx, and GEO databases. The study includes clinical validation correlating tumor stiffness with MMP1 gene expression.
A 16.4 KB supplementary document details a multi-omics study of tuberculous meningitis. The research, authored by Mengyu Luan and last updated in June 2026, integrates bulk and single-cell RNA sequencing from clinical and murine datasets to investigate blood-brain barrier disruption. It identifies three significantly upregulated genes and proposes a novel mechanistic link between MARCKS and the GSDMD pyroptosis pathway.
Supplementary file 3 from a multi-omics analysis of blood-brain barrier disruption in tuberculous meningitis (TBM). The dataset, authored by Mengyu Luan and shared on figshare under CC-BY-4.0, contains results identifying upregulated genes like MARCKS, CD274, and IL17RA. It was last updated on 2026-06-03.
A method and R package for constructing and harmonizing partial seriations from binary matrices. The Lakhesis routine uses iterative regression to combine potentially discrepant orderings into a single consensus seriation. The package includes a graphical interface for exploring binary matrices and performing correspondence analysis.
HLA-DPA1 and HLA-DPB1 were identified as candidate key genes significantly downregulated in pediatric asthma through consensus of four machine learning algorithms. The dataset includes bulk RNA-seq from airway epithelium (GSE152004, GSE65204), single-cell RNA-seq (GSE254127), and experimental validation from IL-13-stimulated cells and patient samples. Yuchen Wen published this 13.8 KB document under CC-BY-4.0 on figshare in June 2026.
A transcriptomic analysis of pediatric asthma, integrating bulk and single-cell RNA-seq data to identify candidate key genes. The dataset includes results from machine learning algorithms applied to public datasets GSE152004 and GSE65204, validated with in vitro and patient samples. It was authored by Yuchen Wen and last updated on June 3, 2026.
HLA-DPA1 and HLA-DPB1 were identified as key downregulated genes in pediatric asthma through consensus of four machine learning algorithms. The 12.6 KB Excel file contains results from a multi-level analysis integrating bulk RNA-seq, single-cell RNA-seq, and experimental validation data. Yuchen Wen authored this dataset, which was last updated on June 3, 2026.
Fifty specific-pathogen free chicks were used to generate single-cell RNA sequencing and flow cytometry data on intraepithelial lymphocyte (IEL) responses to Salmonella Enteritidis challenge. The dataset captures transcriptional profiles and cell proportions from ileal IELs at 2 and 6 days post-infection, revealing expansion of innate-like cytotoxic T cell clusters. It integrates spectral flow cytometry and scRNA-seq to examine functional reprogramming of cytotoxic T cells within the intestinal epithelium.
Single-cell transcriptomic data from a study of Salmonella Enteritidis infection in chickens. The dataset was generated by Shuja Majeed and published on figshare under a CC-BY-4.0 license, with a last update in June 2026. It likely contains gene expression profiles from intraepithelial lymphocytes collected from 50 specific-pathogen free chicks at 2 and 6 days post-infection.
50 specific-pathogen free chicks were used to study the immune response to Salmonella Enteritidis infection. The dataset likely contains single-cell RNA sequencing and flow cytometry results from ileal intraepithelial lymphocytes collected at 2 and 6 days post-infection. It was authored by Shuja Majeed and last updated on June 3, 2026.
A study of 50 specific-pathogen free chicks challenged with Salmonella Enteritidis, analyzing immune cell responses at 2 and 6 days post-infection. The dataset, authored by Shuja Majeed and last updated in June 2026, likely contains single-cell RNA sequencing and flow cytometry results from ileum samples. It focuses on the expansion of innate-like cytotoxic intraepithelial lymphocytes as a defense mechanism.
50 specific-pathogen free chicks were used in a study examining immune responses to Salmonella Enteritidis infection at 2 and 6 days post-infection. The dataset, published by Shuja Majeed on figshare under CC-BY-4.0, integrates spectral flow cytometry and single-cell RNA sequencing results. It reveals the expansion of innate-like cytotoxic intraepithelial lymphocytes as a key early defense mechanism.
Single-cell RNA sequencing data from 50 specific-pathogen free chickens, half challenged with Salmonella Enteritidis, collected at 2 and 6 days post-infection. The dataset was generated by Shuja Majeed and published on figshare in June 2026. It captures immune cell responses in the ileum, focusing on intraepithelial lymphocyte expansion and transcriptional changes.