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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
22,530 datasets
A 2026 study by Yawei Zhang identified plasma exosomal biomarkers for papillary thyroid carcinoma (PTC) in patients with Hashimoto’s thyroiditis (HT). The dataset includes proteomic analysis results from plasma samples of patients with PTC, PTC with HT, HT, and healthy controls. It contains 45 differentially expressed proteins validated via parallel reaction monitoring.
Proteomic data from plasma-derived exosomes identifies biomarkers for papillary thyroid carcinoma (PTC) in patients with Hashimoto’s thyroiditis. The dataset includes results from an integrative discovery study analyzing samples from patients with PTC, PTC with Hashimoto’s, Hashimoto’s alone, and healthy controls. It was authored by Yawei Zhang and last updated on 2026-05-25.
45 differentially expressed proteins were identified from plasma exosomes of patients with papillary thyroid carcinoma (PTC), PTC with Hashimoto’s thyroiditis (PTC-W), Hashimoto’s thyroiditis (HT), and healthy controls. The dataset, authored by Yawei Zhang and last updated in 2026, results from an integrative study combining exosome isolation, label-free quantitative proteomics, and bioinformatics. It highlights SVEP1 and IGKV3-7 as promising biomarkers for PTC progression in HT patients.
45 differentially expressed proteins were identified between papillary thyroid carcinoma patients with Hashimoto’s thyroiditis and those with Hashimoto’s thyroiditis alone. The dataset contains plasma exosomal proteomics data from 12 individuals across four groups, generated by Yawei Zhang and published on figshare in 2026. It highlights SVEP1 and IGKV3-7 as promising biomarkers for non-invasive diagnosis.
Yawei Zhang published a proteomics dataset on figshare in 2026. The data comprises plasma exosomal protein profiles from patients with papillary thyroid carcinoma (PTC), PTC with Hashimoto’s thyroiditis (HT), HT alone, and healthy controls. The study identified 45 differentially expressed proteins and validated SVEP1 and IGKV3-7 as potential biomarkers.
Yawei Zhang's dataset contains proteomic data from plasma exosomes of patients with papillary thyroid carcinoma (PTC), PTC with Hashimoto’s thyroiditis (HT), HT alone, and healthy controls. The data includes results from label-free quantitative proteomics identifying 45 differentially expressed proteins, validated via parallel reaction monitoring. It was last updated on 2026-05-25.
45 differentially expressed proteins were identified between papillary thyroid carcinoma with Hashimoto's thyroiditis and Hashimoto's thyroiditis alone. The dataset contains proteomic analysis results from plasma exosomes of 12 individuals across four groups, published by Yawei Zhang in 2026. It highlights SVEP1 and IGKV3-7 as promising biomarkers for non-invasive diagnosis.
A proteomics study analyzing plasma-derived exosomes from patients with thyroid disorders. The dataset includes samples from three patients each with papillary thyroid carcinoma (PTC), PTC with Hashimoto's thyroiditis (PTC-W), Hashimoto's thyroiditis (HT), and healthy controls. It was authored by Yawei Zhang and last updated on 2026-05-25.
A 2026 bioinformatics study by Li Zhao integrates multiple transcriptome datasets to analyze Chronic Rhinosinusitis with Nasal Polyps (CRSwNP). The research identifies 21 differentially expressed genes related to metabolic reprogramming and uses machine learning to select 8 hub genes for a diagnostic model. The findings were validated via qRT-PCR on independent tissue samples.
Five candidate genes—ZZZ3, GRAMD3, ZWILCH, LAMP3, and TBC1D16—were identified as potential links between Immunoglobulin A nephropathy and tolerogenic dendritic cells. This 15.9 MB dataset contains transcriptome analysis results, including differential expression, immune infiltration, and drug prediction data, published by Gulixian Tuerhong on figshare. The findings were validated with clinical samples using RT-qPCR, showing significant downregulation of ZZZ3, GRAMD3, and LAMP3 in IgAN patients.
Maria G. Rottersman produced a de novo genome assembly for the Summit wheat cultivar using ~398 Gb of PacBio HiFi sequencing data. The assembly comprises 21 pseudomolecules totaling 14.52 Gb, with an additional 79 Mb of unplaced scaffolds. It includes manual curation of 78 complete prolamin genes and 67 putative pseudogenes, deposited in NCBI under BioProject PRJNA1438777.
MARM is a dataset supporting a framework for predicting malignancy risk from host-derived copy number variation (CNV) features extracted from bronchoalveolar lavage fluid (BALF) metagenomic next-generation sequencing (mNGS) data. The dataset was authored by Zhili Chang and last updated on 2026-05-21. It contains results from evaluating models like XGBoost, Random Forest, and GLM, with the best model achieving a sensitivity of 0.686, specificity of 0.975, accuracy of 0.847, and Youden index of 0.671 on an independent validation set.
Shashank Ghai's supplementary file contains data from an exploratory study evaluating the Floor-Hugging Intervention (Floor-HI), a novel fall-exposure and recovery program. The study involved eight community-dwelling adults aged 31–55 years, with outcomes assessed at four time points over nine weeks. The 17.2 KB document was last updated on 2026-05-29 and is shared under a CC-BY-4.0 license.
A 2026 study by Rim Touati characterizes 36 bacterial strains from 11 species for biocontrol potential against Fusarium graminearum. The dataset includes results from co-culture assays, antifungal filtrate tests, molecular characterization of antimicrobial genes, and whole-genome analyses of ten selected strains. It is published on figshare under a CC-BY-4.0 license.
328 first-year students at Astana IT University were surveyed, with 70.1% of non-users preferring ChatGPT as an alternative to professional counselling. The dataset includes results from a convergent mixed-methods study, authored by Assel Issakhanova and last updated in May 2026. It documents structural barriers to university counselling services and student preferences for AI-based help.
36 bacterial strains from 11 Bacillus and related species were characterized for their activity against Fusarium graminearum, a major wheat pathogen. The dataset includes results from co-culture assays, antifungal filtrate tests, molecular characterization of antimicrobial genes, and whole genome analyses for ten selected strains. The data was authored by Rim Touati and published on figshare under a CC-BY-4.0 license in May 2026.
A research dataset describes the performance of a two-step recombinase-aided amplification and CRISPR/Cas13a assay for detecting Epstein-Barr virus DNA. The dataset likely contains results from fluorescence and lateral flow strip analyses, including detection limits and cross-reactivity tests. The data was published by Hui Liu on figshare in May 2026 under a CC-BY-4.0 license.
February to September 2022 survey data from 3,049 adolescent girls aged 13–18 years in India and 1,615 aged 15–19 years in Zambia. The dataset, authored by Pascal Mohamed Mounchid, examines the pandemic's impact on child marriage rates, analyzing socio-cultural and economic influences like dowry and bride price. Multi-variable linear probability regression and qualitative analysis were applied.
February to September 2022 data from 3,049 adolescent girls aged 13–18 in India and 1,615 aged 15–19 in Zambia examines the impact of the COVID-19 pandemic on child marriage rates. Quantitative and qualitative data collected by Pascal Mohamed Mounchid focuses on socio-cultural and economic influences, including bride price and dowry practices. The dataset likely contains responses and analysis regarding marriage attitudes and pandemic-related changes.
Zambia and India are the focus of this dataset, which examines child marriage rates during the COVID-19 pandemic. It contains quantitative and qualitative data from 3,049 adolescent girls in India and 1,615 in Zambia, collected between February and September 2022. The dataset was created by Pascal Mohamed Mounchid and is licensed under CC-BY-4.0.