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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,869 datasets
Bruna De Felice's study profiles microRNA expression in patients with Autosomal Dominant Polycystic Kidney Disease (ADPKD). The dataset compares mutation-negative patients with those carrying PKD1 or PKD2 mutations and healthy controls. The research was published in April 2026.
The Perth and Peel Urban Land Development Outlook 2023/24 spatially displays future land and dwelling development for the Perth metropolitan and Peel region. It includes residential, special residential, retirement villages, industrial, commercial, and tourism land uses, drawing input from government and private sectors.
Perth and Peel metropolitan area data spatially displays future land and dwelling development over short, medium, and long terms. The Department of Planning, Lands and Heritage compiled the 2020/21 release, which includes residential, industrial, commercial, and tourism land uses.
Noosa Shire Council provides a list of its owned buildings. The data is available in multiple geospatial formats, including GEOJSON, KML, WMS, and WFS. The dataset was last updated on 2026-04-23 and is published under a CC-BY-4.0 license with an attribution waiver.
Two independent tubulointerstitial gene expression datasets (GSE113342 and GSE200306) underpin this research. Jialong Ke developed a clinical prediction model integrating molecular signatures and immune cell deconvolution to stratify treatment response in lupus nephritis. The study was last updated in April 2026.
Seven prognostic genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2) were identified by integrating single-cell transcriptome analysis and Mendelian randomization. The dataset, created by Jiaxin Li and last updated on 2026-03-25, includes a risk model and nomogram validated through immune microenvironment and single-cell analysis. Expression of the identified genes was confirmed in different Non-small cell lung cancer cell lines via RT-qPCR.
Table 5_Combined single-cell transcriptome and Mendelian randomization to identify and validate prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma.xlsx is a 12.6 KB dataset by Jiaxin Li, last updated March 25, 2026. It contains results from an integrated bioinformatics study that identified seven prognostic genes for lung adenocarcinoma. The findings were validated through RT-qPCR assays on non-small cell lung cancer cell lines.
A 30.4 KB Excel file by Jiaxin Li, last updated March 25, 2026, presents results from a study integrating single-cell transcriptome analysis and Mendelian randomization to identify prognostic genes in lung adenocarcinoma. The study identified seven genes associated with endoplasmic reticulum stress and butyrate metabolism and validated their expression in non-small cell lung cancer cell lines. A risk model and nomogram were constructed to predict patient survival outcomes.
Jiaxin Li's dataset, published on figshare in March 2026, contains results from a study integrating single-cell transcriptome analysis and Mendelian randomization to identify prognostic genes in lung adenocarcinoma. The data includes seven validated prognostic genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2) and associated risk model, nomogram, and immune profiling results. The dataset is 11.4 KB in size and is licensed under CC-BY-4.0.
Seven prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma, identified through integrated single-cell transcriptome analysis and Mendelian randomization. The dataset includes a risk model and nomogram for predicting 1-, 3-, and 5-year survival, validated by RT-qPCR in non-small cell lung cancer cell lines. It was authored by Jiaxin Li and last updated on March 25, 2026.
Seven prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma were identified through integrated analysis. The dataset includes results from a risk model, nomogram, and immune microenvironment profiling validated by RT-qPCR in NSCLC cell lines. Author Jiaxin Li published the findings on figshare in March 2026.
Seven prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma were identified through integrated single-cell transcriptome and Mendelian randomization analysis. The dataset, shared by Jiaxin Li on figshare, includes a risk model and nomogram validated by RT-qPCR in non-small cell lung cancer cell lines. It was last updated on March 25, 2026.
A 10.5 KB dataset by Jiaxin Li, last updated March 25, 2026, containing results from an integrated analysis of single-cell transcriptomics and Mendelian randomization. It identifies seven prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma, with validation in non-small cell lung cancer cell lines. The data supports a risk model and nomogram for predicting patient survival outcomes.
A figshare dataset by Jiaxin Li, last updated March 2026, containing results from an integrated analysis of lung adenocarcinoma. The data identifies seven prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism, validated via RT-qPCR in non-small cell lung cancer cell lines. The 147.3 KB file includes a risk model, nomogram, and immune microenvironment profiling results.
A 2026 study by Jiaxin Li identified seven prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma. The dataset likely contains results from integrated single-cell transcriptome analysis, Mendelian randomization, and validation in non-small cell lung cancer cell lines. The findings include a risk model, nomogram, and immune microenvironment profiling.
A 57.0 KB dataset from figshare, last updated March 25, 2026, containing results from a study that integrated single-cell transcriptome analysis and Mendelian randomization to identify prognostic genes in lung adenocarcinoma. The study, authored by Jiaxin Li, identified seven genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2) associated with endoplasmic reticulum stress and butyrate metabolism. Findings were validated using RT-qPCR in non-small cell lung cancer cell lines and include a risk model, nomogram, and immune microenvironment analysis.
Seven prognostic genes (VDAC1, TXNRD1, GDF15, TRIB3, LPL, KCNQ1, PKP2) associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma were identified through integrated analysis. The dataset, authored by Jiaxin Li and last updated on 2026-03-25, contains results from single-cell transcriptome analysis, Mendelian randomization, and validation in non-small cell lung cancer cell lines. It includes a constructed risk model and nomogram for predicting 1-, 3-, and 5-year survival outcomes.
A 2026 study by Jiaxin Li identified seven prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma. The dataset likely contains results from integrated single-cell transcriptome analysis and Mendelian randomization of public datasets. Findings were validated through RT-qPCR assays on non-small cell lung cancer cell lines.
Seven prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma were identified and validated. The dataset includes results from a risk model, nomogram, and immune microenvironment analysis, validated by RT-qPCR in non-small cell lung cancer cell lines. Author Jiaxin Li published the data on figshare in March 2026 under a CC-BY-4.0 license.
6.6 GB of Repeat Masker output files annotating transposable elements (TEs) in genomes. The dataset was authored by Ayanna Mays and last updated on May 6, 2026. Files are provided in the standard Repeat Masker OUT format.