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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,797 datasets
29 myasthenia gravis patients and 10 healthy controls had their gut microbiota and fecal metabolome profiled using 16S rRNA sequencing and UHPLC-Q-TOF MS metabolomics. The study identified 232 discriminative microbial taxa and 567 altered metabolites, including short-chain fatty acids and bile acids. Author Yunan Shan uploaded the findings to figshare in April 2026 under a CC-BY-4.0 license.
A study from 2026 by Yunan Shan presents integrated microbial and metabolomic profiling of fecal samples from 29 myasthenia gravis patients and 10 healthy controls. The dataset likely contains results from 16S rRNA sequencing and UHPLC-Q-TOF MS metabolomics, identifying 232 discriminative taxa and 567 altered metabolites. It was published on figshare under a CC-BY-4.0 license.
29 myasthenia gravis patients and 10 healthy controls show a distinct profile of gut dysbiosis and metabolic disturbances. The dataset includes results from 16S rRNA sequencing and untargeted metabolomics, identifying 232 discriminative microbial taxa and 567 altered metabolites. Authored by Yunan Shan and last updated in April 2026, this research aims to provide novel insights for auxiliary diagnosis and microbiota-targeted interventions.
A 2026 study by Yunan Shan profiles fecal samples from 29 myasthenia gravis patients and 10 healthy controls using 16S rRNA sequencing and untargeted metabolomics. The dataset includes results on 232 discriminative microbial taxa and 567 altered metabolites, identifying potential diagnostic biomarkers. It was published on figshare under a CC-BY-4.0 license.
A 2026 study by Yunan Shan profiles fecal samples from 29 myasthenia gravis patients and 10 healthy controls using 16S rRNA sequencing and untargeted metabolomics. The dataset includes results from differential taxa analysis, identification of 567 altered metabolites, and correlation analyses with clinical severity. It was published on figshare under a CC-BY-4.0 license.
29 myasthenia gravis patients and 10 healthy controls show distinct gut dysbiosis and metabolic disturbances. The dataset includes results from 16S rRNA sequencing and untargeted metabolomics, identifying 232 discriminative microbial taxa and 567 altered metabolites. Yunan Shan authored this research, which was last updated on April 23, 2026.
Yunan Shan's dataset from 2026 contains integrated 16S rRNA sequencing and untargeted metabolomics data from fecal samples of 29 myasthenia gravis patients and 10 healthy controls. It includes results from LEfSe analysis identifying 232 discriminative taxa and 567 altered metabolites. The data was used to build a Random Forest metabolite model and explore correlations with clinical severity scores.
Multi-omics data from a study investigating the molecular mechanism of petal color transition in the Camellia reticulata 'Tongzimian' cultivar. The dataset was created by Lin Zhou and published on figshare under a CC-BY-4.0 license, with a last update recorded as 2026-04-23. It integrates targeted anthocyanin metabolomics and transcriptome analysis to identify key pigments and genes.
Runa Furuya's dataset contains single-cell genomic profiling data for Escherichia coli strains from the Densu River in Ghana, focusing on antimicrobial resistance (AMR) and virulence factors. The data was generated using a single-cell amplified genome in gel method after antimicrobial selection, with analysis revealing heterogeneity among strains. The dataset, last updated in April 2026, is a 80.5 KB DOCX file.
Runa Furuya's dataset contains single-cell genomic profiling results for Escherichia coli strains from the Densu River in Ghana, focusing on antimicrobial resistance (AMR) and virulence factors. The data includes pan-genome analysis predicting 4,814 gene clusters and phylogenetic analysis of single-cell amplified genomes (SAGs). It was uploaded to figshare on April 23, 2026, under a CC-BY-4.0 license.
Supplementary file 1 from a study investigating the flavonoid Tectochrysin as a potential treatment for pathological cardiac hypertrophy. The 30.8 MB document, authored by Yanghao Chen and last updated in April 2026, contains supporting data for experiments using an Angiotensin II-induced mouse model and in vitro cardiomyocyte assays. Research methods include echocardiography, histopathology, transcriptome sequencing, and molecular interaction assays to identify STING as the compound's target.
A single-family case report describes a 4-year-old girl with Shone syndrome and a heterozygous KMT2D variant. The dataset, authored by Peiwen Cheng and last updated in April 2026, includes clinical and genetic findings from trio whole-exome sequencing, echocardiography, and CT angiography. It is a 10.3 KB Excel file shared under a CC-BY-4.0 license on figshare.
A 2026 case report by Peiwen Cheng details a 4-year-old girl with a Shone syndrome phenotype and a heterozygous KMT2D variant. The report includes trio whole-exome sequencing results, echocardiography, and CT angiography findings. It is a single-family study published on figshare under a CC-BY-4.0 license.
A 116.4 KB PDF document authored by Rahul Mittal, last updated on April 23, 2026. It integrates mechanistic and clinical evidence on the role of intrinsic β-cell stress in the early development of type 1 diabetes. The perspective is based on findings from human tissue analysis, single-cell transcriptomics, and longitudinal cohort studies.
A 2026 perspective article by Rahul Mittal integrates recent findings from human tissue analysis, single-cell transcriptomics, and longitudinal cohort studies. The work presents a unified conceptual framework for how intrinsic β-cell stress responses contribute to early type 1 diabetes development. It is published under a CC-BY-4.0 license on figshare.
A dataset from a study analyzing the genetic basis of hundred-seed weight in soybean. It includes results from a four-way recombinant inbred line population of 144 lines, with 16 QTLs and 40 QTNs identified across multiple environments. The data was authored by Shuchao Liu and last updated on 2026-04-23.
Replication data from a 2026 study on acquiescence bias in agree-disagree survey scales. The dataset likely contains results from 160 tests and an internal meta-analysis examining how this bias distorts relationships between constructs like populism and racism. It was authored by Andrew Engelhardt and hosted on the Political Behavior Dataverse.
A 2026 study of 1777 middle-aged and older adults from the Guangxi Eco-Environmental Health and Aging Study (GEHAS) examined the link between short-term air pollution and cognitive decline. The dataset includes 3554 observations linking 28-day average PM2.5 exposure to Mini-Mental State Examination scores and DNA methylation data for 552 participants. It was authored by Jiahui Rong and shared on figshare.
A dataset from the Guangxi Eco-Environmental Health and Aging Study (GEHAS) includes 3554 observations from 1777 middle-aged and older adults. It examines associations between short-term PM2.5 exposure, cognitive function measured by Mini-Mental State Examination (MMSE) scores, and DNA methylation at circadian rhythm gene CpG sites. The dataset was authored by Jiahui Rong and last updated on 2026-04 14.
3554 observations from the Guangxi Eco-Environmental Health and Aging Study link short-term PM2.5 exposure to cognitive decline and DNA methylation changes. The dataset, published by Jiahui Rong in 2026, includes Mini-Mental State Examination scores and methylation data for 44 CpG sites from 552 participants. Findings suggest a 0.474-point reduction in MMSE scores per 5 μg/m³ PM2.5 increase, with stronger effects observed in women.