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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
22,990 datasets
Manon Chretien's study evaluates trio-exome sequencing for prenatal diagnosis in selected indications. The dataset contains results from a multicenter, prospective study of 86 fetuses, where a definite etiological diagnosis was made in 28% of cases. The diagnostic yield varied by indication, with the highest rates for vermian hypoplasia and polymalformative syndromes.
28% of 86 fetuses with selected prenatal indications received a definite etiological diagnosis from trio-exome sequencing. The diagnostic yield varied by indication, reaching 42% for vermian hypoplasia and 30% for polymalformative syndromes. Manon Chretien published this multicenter, prospective study on figshare in May 2026.
A multicenter, prospective study evaluating high-throughput sequencing performance in selected prenatal indications. Trio-exome sequencing was performed on 86 fetuses, yielding a definite etiological diagnosis in 28% of cases. The dataset, authored by Manon Chretien and last updated in May 2026, illustrates the complexity of interpreting prenatal genetic testing.
Baharuddin Baharuddin's dataset contains visual research extenders supporting an article submitted to Social Semiotics. The materials summarize findings from a multimodal linguistic landscape study based on 9,728 signage images collected across five districts of Lombok, Indonesia. The infographic visualizes three overlapping regimes of visibility—pandemic governance, tourism spectacle, and everyday commercial promotion—and explains their competition.
Chunlin Chen published an integrated multi-omics analysis of the SPTBN2 gene in colorectal cancer on figshare in May 2026. The dataset likely contains transcriptomic, DNA methylation, single-cell RNA sequencing, and spatial transcriptomics profiles sourced from TCGA and GEO databases. It focuses on SPTBN2's expression patterns, prognostic relevance, epigenetic associations, and links to the tumor immune microenvironment.
Earth orientation parameters (EOPs) are provided by the IERS Rapid Service/Prediction Center at the U.S. Naval Observatory, with a backup mirror hosted by NASA's CDDIS. The dataset includes daily and sub-daily solutions such as finals.daily, finals2000A.daily, and gpsrapid.daily, updated as frequently as three times per day. This service is designed for real-time and near-real-time applications requiring high-quality EOP data faster than the final IERS Bulletin B series.
An integrative single-cell atlas of human prenatal thymocytes from 7 to 23 post-conception weeks, constructed by Yang Yang by combining five published datasets. The data delineates asymmetric dynamics of CD4+ and CD8+ T cell lineage commitment, identifying transitional populations and developmental paths.
A single-cell transcriptome atlas integrates five published datasets to characterize CD4+ and CD8+ T cell lineage commitment in the human prenatal thymus. The data covers development from 7 to 23 post-conception weeks and was authored by Yang Yang. The dataset was last updated on May 19, 2026.
A gene expression dataset from TCGA and GEO cohorts used to identify prognostic biomarkers for lung adenocarcinoma. The dataset, created by Lan Yin and last updated in May 2026, likely contains results from differential expression, correlation, and survival analyses. It supports a prognostic model built via LASSO regression and includes experimental validation data for the MRPL3 gene.
MRPL3 is identified as a prognostic biomarker and therapeutic target in lung adenocarcinoma via a lactylation-disulfidptosis gene signature model and experimental validation. The dataset likely contains gene expression profiles and analysis results from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts. Author Lan Yin published this 16.5 KB document on figshare in May 2026.
Lan Yin's 2026 research paper validates MRPL3 as a prognostic biomarker and therapeutic target in lung adenocarcinoma. The study integrates gene expression data from TCGA and GEO cohorts to build a lactylation-disulfidptosis gene signature model. Experimental validation includes in vitro and in vivo tests showing MRPL3 knockdown inhibits tumor growth.
A 2026 study by Lan Yin presents a prognostic gene signature model for lung adenocarcinoma (LUAD) based on lactylation and disulfidptosis. The model was constructed using gene expression profiles from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts. MRPL3 was identified as a key biomarker and validated through in vitro and in vivo experiments.
A seven-gene prognostic signature derived from the MitoCarta3.0 database and validated across four public datasets. The signature, comprising UCP2, FAM162A, ACCS, HSD1, ACSF2, PPIF, and SDHA, predicts survival and correlates with immune microenvironment features in acute myeloid leukemia. The 271.1 KB Excel file was authored by Rui Dou and last updated on May 19, 2026.
A 1.3 MB document details the creation of transgenic papaya T0 lines with edited eIF4E and eIF(iso)4E genes via CRISPR/Cas9. Author Ngoc Thu Le published the work on figshare in May 2026. The study identifies eIF4E as a critical host factor for papaya ringspot virus, with edited lines showing undetectable viral accumulation via DAS-ELISA and qPCR.
Ezequiel Alberto Cruz-Campuzano's research on figshare describes a new fungal species, Thelephora renispora, and provides new distribution records for T. pseudoversatilis. The dataset includes morphological and phylogenetic analyses, assessing the informativeness of genetic loci like ITS, 28S, and RPB2 for species delimitation within the Thelephorales order. The 152.5 MB collection of files was last updated on 2026-05-07.
The National Construction Code 2025 (Version 1.1) is Australia's primary set of technical design and construction provisions for buildings. The Australian Building Codes Board produces and maintains this performance-based code, which sets minimum requirements for safety, health, amenity, accessibility, and sustainability. The dataset was last updated on June 3, 2026, and is provided in XML format under a CC-BY-4.0 license.
Data Sheet 1 contains results from a multi-omics study of 15 non-M3 acute myeloid leukemia patients treated with the VD-CAG regimen. The dataset includes the 11-gene prognostic signature (TLN1, ARL15, PDZD2, ACER2, IGF2BP3, TMEM200A, DOCK1, SYTL4, CPNE8, FNDC3B, MANBA) validated in the TCGA-LAML and Beat AML cohorts. It was authored by Jirui Tang and last updated on 2026-05-19.
15 non-M3 acute myeloid leukemia patients were profiled with RNA sequencing and proteomics before and after VD-CAG induction therapy. The study identified a validated 11-gene prognostic signature (TLN1, ARL15, PDZD2, ACER2, IGF2BP3, TMEM200A, DOCK1, SYTL4, CPNE8, FNDC3B, MANBA) with strong predictive performance in external cohorts. The dataset was authored by Jirui Tang and last updated on 2026-05-19.
A study by Jirui Tang, last updated in May 2026, integrates RNA sequencing and proteomics data from 15 non-M3 acute myeloid leukemia patients treated with the VD-CAG regimen. The dataset contains the resulting robust 11-gene prognostic signature, validated using external cohorts TCGA-LAML and Beat AML.
15 non-M3 acute myeloid leukemia patients were profiled with RNA sequencing and proteomics to study response to VD-CAG therapy. An 11-gene prognostic signature was derived and validated using the TCGA-LAML and Beat AML cohorts. The dataset, authored by Jirui Tang, was last updated on 2026-05-19.