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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,873 datasets
Global Affairs Canada provides a document detailing Canada's involvement in the multilateral Convention on Mutual Administrative Assistance in Tax Matters. The archived PDF outlines the framework for international cooperation in tax administration and information exchange. The resource was last updated on the platform in April 2026 but is flagged as containing outdated information.
Spatial transcriptomic profiling of potato tissues from three sample types: stolon at S1 stage, stolon at S2 stage, and stem tissues. The dataset includes multiple biological replicates for each condition and was created by Jinye Li, last updated on May 5, 2026. Comparative analyses investigate differences between developmental stages and tissue types to characterize spatial gene expression patterns during early tuber organogenesis.
Geoscience Australia surveys in 2003 and 2005 discovered submerged coral reefs in the Gulf of Carpentaria using multibeam sonar technology. The age of these previously unknown reefs was determined from drill-core samples via Uranium/Thorium dating at the Australian National University. This work identified a new coral reef province for management within Australia's marine zone.
A diagnostic model based on six core genes (EIF2S3, GTF3A, HMGA1, HSP90AB1, PABPC1, S100A11) for identifying malignant transformation in colorectal polyps. The model was developed using bioinformatics and machine learning on the TCGA-COADREAD cohort and validated with external datasets. Research by Tao He demonstrates its diagnostic efficacy and association with patient prognosis.
A bioinformatics study identifies six core genes (EIF2S3, GTF3A, HMGA1, HSP90AB1, PABPC1, S100A11) as markers for malignant transformation in colorectal polyps. The research constructs a ridge regression diagnostic model, validated using the TCGA-COADREAD cohort and external dataset GSE41258. Analysis includes validation of protein expression via the UALCAN database and mRNA expression in CRC cell lines.
This dataset contains six core genes (EIF2S3, GTF3A, HMGA1, HSP90AB1, PABPC1, S100A11) identified as malignant transformation markers for colorectal cancer. It was developed by Tao He in 2026 using bioinformatics and machine learning analysis of datasets including GSE209741, GSE161277, and TCGA-COADREAD. The diagnostic model was validated on internal and external cohorts, including GSE41258.
Tao He's research provides a ridge regression diagnostic model built on six core genes (EIF2S3, GTF3A, HMGA1, HSP90AB1, PABPC1, S100A11) identified as malignant transformation markers in colorectal polyps. The model was validated using the TCGA-COADREAD cohort and an external independent dataset, GSE41258. It includes data on gene expression in CRC cell lines and protein expression levels from the UALCAN database.
Six core genes (EIF2S3, GTF3A, HMGA1, HSP90AB1, PABPC1, S100A11) were identified as malignant transformation markers in colorectal polyps. The diagnostic model was validated using the TCGA-COADREAD cohort and an external independent cohort GSE41258. The dataset is a 13.4 KB XLSX file containing the identified gene markers and associated analysis results.
Bioinformatics research from Tao He identifies six core genes (EIF2S3, GTF3A, HMGA1, HSP90AB1, PABPC1, S100A11) as markers for malignant transformation in colorectal polyps. The study constructs a ridge regression diagnostic model validated on the TCGA-COADREAD cohort and an external dataset, GSE41258. Protein and mRNA expression levels of these genes were confirmed via the UALCAN database and qRT-PCR.
Six core genes (EIF2S3, GTF3A, HMGA1, HSP90AB1, PABPC1, S100A11) were identified as malignant transformation markers in colorectal polyps. The diagnostic model was validated using the TCGA-COADREAD cohort and external dataset GSE41258. Author Tao He published the findings in March 2026.
Figshare hosts a dataset containing six core genes (EIF2S3, GTF3A, HMGA1, HSP90AB1, PABPC1, S100A11) identified as malignant transformation markers in colorectal polyps. The data was generated by Tao He using bioinformatics and machine learning analysis of public gene expression cohorts. It serves as the basis for a ridge regression diagnostic model validated in internal and external datasets.
A presentation of highlights from the 2024 EASI-3 marine expedition to the East Antarctic Ice Shelf aboard the RV Polarstern. The content, provided by Geoscience Australia, covers scientific exploration, seabed mapping, sonar data, sediment sampling, and expedition life. The talk was last updated in April 2026.
Four human patients and nine mice provide single-cell RNA sequencing data for peritoneal metastasis of gastric cancer (PMGC). Spatial transcriptomic data is also included from one human PMGC lesion. The dataset was authored by Wangyu Cai and last updated on April 28, 2026.
1 million reads were subsampled from NovaSeq S4 paired-end 150 bp sequencing data to demonstrate the extraction of randomer sequences. This dataset contains barcode sequences from rabies virus or spike-in control RNA in Read 1, with region index and UMI sequences in Read 2. Kang Tan created this resource to illustrate pattern alignment from raw FASTQ files, last updated in April 2026.
Heard Island in the Southern Ocean is the location for this current meter dataset collected between May 1990 and January 1991. The data originates from one mooring equipped with five current meters and has been processed and archived by the CMR Data Centre in Hobart. Parameters likely include east-west and north-south velocity components, water temperature, pressure, and salinity.
2020 to August 2023 phytoplankton data collected from SmartBuoy moorings at Dowsing, WestGabbard2, Warp, and Liverpool Bay in UK waters. The Marine Environmental Data & Information Network provides cell abundance values in cells per litre, analyzed using the Utermohl method on inverted microscopes. Samples were collected using automated water samplers and a CTD rosette to reduce data gaps.
AGSO Journal volume 14 number 1 contains seven scientific articles on Australian geology. Articles cover topics from Miocene-Pleistocene foraminifera to earthquake magnitude scales and stream sediment geochemistry. The collection is hosted by the Australian Ocean Data Network.
A 2026 proteomics study by Medha Gayathri J. Pai used quantitative DIA mass spectrometry to analyze protein expression changes after SMARCA4 knockdown in HD-MB03 Group 3 medulloblastoma cells. The dataset, shared via figshare, includes validated findings on dysregulated pathways like lipid metabolism and SWI/SNF complex subunits.
A 2026 proteomics study by Medha Gayathri J. Pai used quantitative DIA mass spectrometry to analyze protein expression changes after SMARCA4 knockdown in HD-MB03 Group 3 medulloblastoma cells. The dataset, shared via figshare, includes validated findings on dysregulated pathways like lipid metabolism and SWI/SNF complex subunits.
A proteomic dataset from figshare details the functional impact of SMARCA4 knockdown in Group 3 medulloblastoma cells. It contains quantitative mass spectrometry data from HD-MB03 cell models, generated by Medha Gayathri J. Pai and last updated in March 2026. The 2.4 MB XLSX file captures protein expression changes related to chromatin remodeling and metabolic pathways.