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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,009 datasets
A radiomic signature dataset for non-small cell lung cancer (NSCLC) developed from CT scans across multiple cohorts, including TCIA, TCGA, and an in-house hospital dataset. The dataset contains a CT-RadScore composed of 12 radiomic features, validated for prognostic performance and prediction of immunotherapy and anticancer drug response. It was created by Jianying Ma and last updated on April 29, 2026.
A transcriptomics dataset from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) used to develop a prognostic model for breast cancer. The study identified two molecular subtypes and a 7-gene risk signature validated on external datasets. The dataset was authored by Shuanglai Ye and last updated on 2026-05-12.
A study by Jin-Woo Kim, last updated in May 2026, investigates the effects of combined red light and Ligularia fischeri extract on Staphylococcus aureus-infected wounds in BALB/c mice. The dataset, shared under a CC-BY-4.0 license, includes results demonstrating a reduction of S. aureus from 8.47 to 3.68 Log CFU/mL and measurements of wound size, reepithelialization, and growth factor expression.
A 55.3 KB Excel file from figshare, authored by Xue Li and last updated in May 2026, presents data from a study on immune evasion in lung adenocarcinoma. The dataset likely contains results from multi-omics analyses and functional experiments investigating the TRIM59-IRF3 regulatory pathway. It is shared under a CC-BY-4.0 license.
Lipid Wang's dataset contains results from a multi-omics study of nasopharyngeal carcinoma (NPC). It integrates single-cell transcriptomics, 10x spatial transcriptomics, and spatial metabolomics to analyze gene expression and metabolite profiles in NPC tissues. The data was last updated on 2026-05-20.
A multi-omics analysis of nasopharyngeal carcinoma (NPC) tissues integrates single-cell transcriptomics, spatial transcriptomics, and spatial metabolomics. The dataset, authored by Liping Wang and last updated in May 2026, identifies five glycerophospholipid-related genes and explores interactions between malignant epithelial cells and CCL11-expressing fibroblasts. It is a small dataset, 15.1 KB in size, shared under a CC-BY-4.0 license.
A six-gene prognostic signature stratifies triple-negative breast cancer patients into high- and low-risk groups with significant differences in overall survival. Yan Chen published this research document on figshare in May 2026 under a CC-BY-4.0 license. The signature correlates with the immunogenomic landscape and predicts responses to targeted therapy and immunotherapy.
A six-gene prognostic signature stratifies triple-negative breast cancer patients into high- and low-risk groups with a significant difference in overall survival. The dataset, authored by Yan Chen and last updated in May 2026, likely contains results from Cox regression and random survival forest analyses used to construct the signature and identify CCAR2 as a key gene. It includes associations with the immunogenomic landscape and predictions for targeted therapy and immunotherapy response.
Data Sheet 2 from a study by Yan Chen, last updated in May 2026, presents a six-gene prognostic signature based on anoikis-related genes (ARGs) for triple-negative breast cancer (TNBC). The signature stratifies patients into high- and low-risk groups and is associated with the immunogenomic landscape and predicted response to targeted therapy and immunotherapy. The study identifies CCAR2 as a key gene influencing metastasis, stemness, and immune evasion.
Data from a study by Xiao-shan Lei, published on figshare in 2026, quantifying ankle-centered biomechanics during lateral and crossover cutting maneuvers. The dataset includes three-dimensional kinematics and ground reaction forces recorded from 24 male participants (12 professional basketball athletes and 12 collegiate students) performing 45-degree cuts at a controlled speed. It likely contains time-series data from motion capture and force platforms, used to analyze direction- and athletic-level-associated differences in joint mechanics.
Xinjiang-focused research investigating the molecular links between temperature adaptation and pathogenicity in the fungus Trichophyton schoenleinii. The dataset, authored by Kaidiliya Aimilajiang and last updated in May 2026, contains a 586.2 KB PDF detailing transcriptome sequencing, bioinformatics analysis, and cellular assays on THP-1 cells. It identifies a key temperature regulatory factor and explores activation mechanisms of the NLRP3 inflammasome via ROS, cathepsin, and potassium efflux.
A 4.2 MB PDF document by Eva Schmid, last updated on 2026-05-20, presents research data on the gut-joint axis in rheumatoid arthritis. The study integrates mouse and human imaging mass cytometry and tissue sequencing to investigate endothelial and immune changes preceding arthritis. Findings suggest a mechanistic framework where barrier impairment and microbial translocation initiate autoimmunity.
A 2.0 MB dataset by Eva Schmid, last updated on 2026-05-20, presents findings from a study on rheumatoid arthritis pathogenesis. The data, shared under a CC-BY-4.0 license on figshare, integrates mouse and human imaging mass cytometry and tissue sequencing to investigate early gut immune alterations prior to joint inflammation. It likely contains results linking intestinal endothelial changes, microbiota-specific IgG responses, and arthritis severity in a collagen-induced arthritis model.
Soumaya Zaidi's dataset from 2026 contains integrative metabolic, ionic, and transcriptomic profiles of quinoa plants under salinity stress with or without arbuscular mycorrhizal fungi (AMF) inoculation. The data includes measurements of growth, chlorophyll concentration, ion accumulation, metabolite profiles, and gene expression patterns from an early vegetative-stage experiment. The file is 66.4 KB in size and was last updated on May 20, 2026.
Soumaya Zaidi's dataset, last updated on 2026-05-20, integrates metabolic, ionic, and transcriptomic profiles from quinoa plants exposed to salinity stress with or without arbuscular mycorrhizal fungi (AMF) inoculation. The 414.3 KB PDF likely contains tabular data from an integrative analysis of growth, chlorophyll concentration, ion accumulation, metabolite profiles, and gene expression patterns. The dataset is associated with findings that AMF inoculation is linked to coordinated metabolic and transcriptional adjustments enhancing salinity tolerance.
A genome-resolved metagenomic dataset from Arctic tundra permafrost soils at Cambridge Bay, Canada. It contains a non-redundant catalog of approximately 500 metagenome-assembled genomes (MAGs), including 14 complete, 41 near-complete, and 99 high-quality genomes. The dataset was generated from about 26 million PacBio HiFi long reads and spans diverse bacterial and archaeal lineages.
481.8 MB of experimental records, raw data files, and analytical outputs for a master's dissertation investigating G protein-coupled oestrogen receptor localisation. The dataset includes molecular cloning validation data, confocal microscopy images from transfected HEK293T cells, and RFLP genotyping data from a South African cohort. It was authored by Tlotlo Matladi and last updated on May 7, 2026.
1255 differential abundance phosphopeptides (DAPPs) were identified from shrimp muscle proteins after 120 hours of chilling storage at 4°C. The dataset, created by Caihong Li and last updated in May 2026, profiles 2128 phosphorylated sites across 608 phosphoproteins to investigate texture deterioration mechanisms. It is hosted on figshare as a 1.7 MB XLSX file under a CC-BY-NC-4.0 license.
5.5 KB Excel file by Nora S. Martin, last updated May 22, 2026. It provides formal definitions for key properties of Genotype-Phenotype (GP) maps, such as frequency, robustness, and evolvability. The definitions are normalized for cross-map comparability and are intended as inputs for biophysical models.
Nkerorema Djodji Damas published read counts from RNA antisense purification experiments on May 15, 2026. The data maps RNA-RNA interactions between three human pathogenic viruses—hepatitis C virus, yellow fever virus, and chikungunya virus—and host cellular RNAs. The 11.0 KB Excel file provides a foundation for understanding viral exploitation of host RNA factors like mRNAs, mitochondrial RNAs, and small nuclear RNAs.