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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
22,731 datasets
283 patients from a multicenter prospective non-inferiority trial conducted in seven Japanese ICUs between July 2023 and February 2025. The dataset comprises supplementary material comparing nurse-led electromagnetic-guided nasogastric tube insertion using the CORTRAK system to physician-performed blind insertion. It was authored by figshare admin karger and last updated in May 2026.
Processed bulk RNA-sequencing data for the bacterium Piscinibacter sakaiensis 201-F6 grown for 4 weeks under three distinct conditions, with 5 biological replicates each. The data includes differential expression analysis across three contrasts, calculated with DESeq2 after alignment to the NCBI RefSeq genome CP166677. Author Jiabao Xu published the dataset on figshare in June 2026.
Three SARS-CoV-2 viral proteins are studied: the main protease, the 2′-O-RNA methyltransferase, and the nucleocapsid (N) protein. The work, authored by Suhasini M. Iyengar and last updated in June 2026, identifies key electrostatic couplings and alternative binding sites for these proteins. From in silico screening, ligands with predicted affinity for secondary and catalytic sites are reported.
Gene expression data from three pediatric septic shock datasets (GSE26440, GSE9692, GSE13904) used to identify diagnostic biomarkers. The dataset includes results of differential expression analysis, weighted gene co-expression network analysis (WGCNA), and immune cell infiltration quantification. It was created by Junying Qiao and last updated on 2026-05-29.
Three pediatric septic shock gene expression datasets (GSE26440, GSE9692, GSE13904) were integrated for analysis. The dataset includes results identifying four LPS-related feature genes (IL10, MMP9, S100A12, STAT3) and a diagnostic model with an average AUC of 0.994. It was uploaded by Junying Qiao in May 2026 under a CC-BY-4.0 license.
An exploratory proteomic study of cerebrospinal fluid samples from 11 participants, including patients with post-hemorrhagic hydrocephalus, idiopathic normal pressure hydrocephalus, and non-hydrocephalus controls. The dataset, authored by Hao Han and last updated in May 2026, contains normalized protein expression values analyzed via Olink proximity extension assay. It identifies calcyphosine and follistatin-like 1 as exploratory candidate proteins of interest.
An exploratory study from 2026 compares cerebrospinal fluid proteomic profiles in post-hemorrhagic hydrocephalus (PHH) and idiopathic normal pressure hydrocephalus (iNPH). The dataset, authored by Hao Han and shared under a CC-BY-4.0 license, contains normalized protein expression values from 11 participants analyzed via Olink proximity extension assay. It identifies calcyphosine (CAPS) and follistatin-like 1 (FSTL1) as exploratory candidate proteins of interest.
GATEKEEPER, an EU Horizon 2020 project, developed a management framework for multinational digital health deployments. The framework integrates 45 best practices across six operational domains, ranked by a panel of 23 experts over four years. It includes key performance indicators, standardized reporting tools, and a Business Intelligence dashboard for real-time monitoring.
23 experts ranked 45 best practices across six operational domains for managing multinational digital health deployments. The framework was developed over four years within the EU Horizon 2020 GATEKEEPER project, involving a federation of four European large-scale pilots. It integrates key performance indicators, standardized reporting tools, and a Business Intelligence dashboard for real-time monitoring.
The GATEKEEPER project developed a management framework for executing large-scale, multinational digital health pilots. The framework was refined over four years using a mixed-methods approach, including a Delphi study with 23 experts ranking 45 best practices. Davide Piaggio published this supplementary document on figshare in 2026 under a CC-BY-4.0 license.
GATEKEEPER, an EU Horizon 2020 project, developed a management framework for multinational digital health deployments. The framework integrates 45 best practices across six operational domains, ranked by a panel of 23 experts over four years. Davide Piaggio published the results on figshare in May 2026 under a CC-BY-4.0 license.
A 385.9 KB PDF by Inseo Kim, last updated May 29, 2026, integrates genomic, transcriptomic, and metabolomic data from three S. cerevisiae strains. The study identifies genetic and transcriptional determinants of volatile organic compound production during alcoholic fermentation. Findings link specific gene expression patterns to the synthesis of higher alcohols, esters, and acids that shape strain-specific aroma profiles.
Haixia Yang provides 429 complete SARS-CoV-2 genome sequences collected in Jining City, China, between January 2024 and December 2025. The dataset includes 240 sequences from 2024 and 189 from 2025, tracking the sequential replacement of Omicron lineages from XBB.1.9 to BA.2.86 and finally to XDV.1. Analysis includes nucleotide similarity to the Wuhan-Hu-1 reference and amino acid mutation counts in spike proteins.
429 complete SARS-CoV-2 genome sequences were obtained from clinical specimens in Jining City between January 2024 and December 2025. The dataset, authored by Haixia Yang and shared on figshare in May 2026, characterizes lineage replacement from XBB.1.9 to BA.2.86 and finally to the predominant XDV.1 lineage, with analysis of nucleotide similarity and amino acid mutations.
429 complete SARS-CoV-2 genome sequences were obtained from clinical specimens in Jining City between January 2024 and December 2025. The dataset, authored by Haixia Yang and uploaded in 2026, characterizes lineage transitions from XBB.1.9 to BA.2.86 and then to the predominant XDV.1 lineage, with analysis of nucleotide similarity and amino acid mutations.
Jining City, China, is the source for 429 complete SARS-CoV-2 genome sequences collected between January 2024 and December 2025. The dataset, authored by Haixia Yang and shared on figshare, characterizes the evolutionary patterns of circulating Omicron lineages, including XBB.1.9, BA.2.86, and XDV.1, through phylogenetic and mutation analysis.
Gene expression data from mRNA microarrays and miRNA profiling analyzes apoptosis-related signaling across five molecular subtypes of breast cancer and systemic responses to benign fibroadenoma cryoablation. The dataset includes scores for intrinsic and extrinsic apoptotic pathways and an apoptotic balance index (ABI). It was created by Agata Panfil and last updated on June 2, 2026.
A pan-cancer analysis of VANGL1 across 33 tumor types using bulk transcriptomic, single-cell RNA sequencing, and spatial transcriptomic datasets. The dataset includes results from functional studies and experimental validation in cell lines, organoids, and xenografts. It was authored by Wei Zhou and last updated on 2026-05-29.
A 46.8 KB ZIP file contains transcriptomic data supporting a study on osteosarcoma intratumoral heterogeneity. The data, authored by Xuesong Li and last updated on 2026-05-26, was used to identify ten primary cell types and five malignant subtypes, leading to the discovery of CKMT2 as a prognostic marker. The analysis integrated single-cell transcriptomic data with multi-cohort datasets from public repositories.
A 44.3 KB Excel file published on figshare by Xuesong Li in May 2026. It contains data from a study that integrated single-cell and multi-cohort transcriptomic datasets to map intratumoral heterogeneity in osteosarcoma. The research identified molecular subtypes and validated CKMT2 as a prognostic biomarker and therapeutic target.