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1,192 results for “multi-omics”
High-resolution spatial multi-omics datasets
<p>Supplementary raw data. The raw microscopy data are not uploaded owing to their large size (6.8 Tb), but are available upon reasonable request (Long Cai: lcai@caltech.edu, Yodai Takei: ytakei@caltech.edu).</p> <p>These supplementary data contain additional files for RNA seqFISH+, DNA seqFISH+, and sequential immunofluorescence from cell culture and adult mouse cerebellum experiments.</p> <p>DNA seqFISH+ datasets (provided as a tar.gz folder for each replicate): Super-resolved DNA spot locations by DNA seqFISH+ along with sequential immunofluorescence intensity at the rounded voxel location.</p> <p>RNA seqFISH datasets (provided as a zip folder): Super-resolved mRNA or intron spot locations.</p> <p>Sequential immunofluorescence table (provided as a csv file): Mean voxel intensity of each immunofluorescence marker per nucleus for the adult mouse cerebellum datasets.</p> <p>Note that voxel sizes are 103 nm for x and y, and 250 nm for z in our experimental setting.</p> <p>Please find the uploaded readme.txt file for more details.</p>
Multi-omic integration of DNA methylation and gene expression data reveals molecular vulnerabilities in glioblastoma (processed data)
<p>Glioblastoma multiforme (GBM) is one of the most aggressive types of cancer and exhibits profound genetic and epigenetic heterogeneity, making the development of an effective treatment a major challenge. The recent incorporation of molecular features into the diagnosis of GBM patients has led to an improved categorisation into various tumour subtypes with different prognoses and disease management. In this work, we have exploited the benefits of genome-wide multi-omic approaches to identify potential molecular vulnerabilities existing in GBM patients. Integration of gene expression and DNA methylation data from both bulk GBM and patient-derived GBM stem cell lines has revealed the presence of major sources of GBM variability, pinpointing subtype-specific tumour vulnerabilities amenable to pharmacological interventions. In this sense, inhibition of the AP1, SMAD3 and RUNX1 / RUNX2 pathways, in combination or not with the chemotherapeutic agent temozolomide, led to the subtype-specific impairment of tumour growth, particularly in the context of the aggressive, mesenchymal-like subtype. These results emphasize the involvement of these molecular pathways in the development of GBM and have potential implications for the development of personalized therapeutic approaches.</p>
Integrated multi-omics analysis of early lung adenocarcinoma links tumor biological features with predicted indolence or aggressiveness
<p>This is a collection of datasets presented in the manuscript "Multi-omics data analysis identifies correlations between tumor biology features and predicted behaviors in early lung adenocarcinoma". This study provides a comprehensive profiling of LUAD indolence and aggressiveness at the biological bulk and single cell levels, as well as at the clinical and radiomics levels. This hypothesis generating study uncovers several potential future research avenues. It also highlights the importance and power of data integration to improve our systemic understanding of LUAD and to help reduce the gap between basic science research and clinical practice.</p>
Nutritional Value Formation of Silkworm Pupa at Different Growth Stages: Analysis from Multi-omics Perspective
<p>Silkworm pupa (Bombyx mori) is affinal drug and diet in China, which is rich in protein and human essential amino acids. However, it is unclear how the internal nutritional composition changes and the antioxidant situation throughout the transformation of a silkworm pupa into a silkworm moth. In this study, we investigated the samples from four growth stages during silkworm pupal emergence by integrating proteomics and metabolomics. The results of the systematic bioinformatics study revealed that the growth of silkworm pupae considerably altered the ribosome-related genetic expression, cuticle development, and folate metabolism. The partial redox-active amino acid levels and the level of peroxiredoxin 1 expression were consistent with the fact that the total antioxidant capacity was higher in 7- and 10-day-old silkworm pupae. As compared to silkworm pupae, the amounts of fatty acids rose while those of amino acids, peptides, and organic acids dropped. This research also discovered that the altered protein profiles of silkworm pupae were controlled by the differential expression of mTOR signaling proteins (V-ATPase, S6, eIF4E) and ubiquitin mediate proteins (RP-L40e, UBE2L3, UBE2N, SKP1, ELOC). This study provided a new scientific foundation for the development and utilization of edible insect silkworm pupa functional food products.</p>
(SNP Array) Single-Cell Multi-Omics Identifies Chronic Inflammation as a Driver of TP53 mutant Leukaemic Evolution
<p>Single nucleotide polymorphism (SNP) array data files related our publication titled "Single-Cell Multi-Omics Identifies Chronic Inflammation as a Driver of <em>TP53 </em>mutant Leukaemic Evolution".</p>
Intergrated Multi-omics Sequencing Reveals Metabolic Reprograms in the Progression of ccRCC
<p>ccRCC is a complex disease with remarkable immune and metabolic heterogeneity. Here, we present a TJ-RCC cohort, performing genomic, transcriptomic, proteomic, metabonomic and spatial multi-omic profiling on 100 ccRCC cases. Using the scRNA-seq-derived signature, we identify 4 subtypes. Multilevel profiling distinguishes a unique ccRCC subtype, De-clear cell differentiated (DCCD) -ccRCC, with distinctive metabolic features. DCCD cancer cells are characterized by fewer lipid droplets, extremely inhibited metabolic activity, enhanced nutrients uptake capability and a high proliferation rate, leading to poor prognosis. Using single-cell and spatial trajectory analysis, we demonstrate that DCCD is a common mode of ccRCC progression. Even among stage I patients, DCCD indicates worse outcomes and higher recurrence rate, indicating it cannot be cured by nephrectomy alone. This study provides a treatment strategy based on immune subtypes, which could enable precise clinical management of ccRCC.</p>
Multi-omics Dissection of Gut Microbiome Engraftment During FMT
ClinicalTrials.gov study NCT06992453. IPD Sharing: YES. Countries: 1. Publications: 45.
Integrated Multi-omics Data for Personalized Treatment of Obesity-associated Fatty Liver Disease
ClinicalTrials.gov study NCT05554224. IPD Sharing: YES. Countries: 1. Publications: 1.
Head and Neck Advanced Research for Multi-Omics and Optimized Immunotherapy
ClinicalTrials.gov study NCT07211139. IPD Sharing: NO. Countries: 1. Publications: 16.
Precision Subtyping and Prognostic Study of Heart Failure Based on Multi-Omics Integration and Clinical Indicators: A Prospective Single-Center Cohort Study
ClinicalTrials.gov study NCT07355088. IPD Sharing: NO. Countries: 1. Publications: 9.
Multi-omic, histopathologic, and clinicopathologic effects of once-weekly oral rapamycin in a naturally occurring feline model of hypertrophic cardiomyopathy: A pilot study
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Multi-omic brain and behavioral correlates of cell-free fetal DNA methylation in macaque maternal obesity models (GC-FID dataset infant brains)
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Data from: Multi-omic analyses identify molecular targets of Chd7 that mediate CHARGE syndrome model phenotypes
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Multi-omic brain and behavioral correlates of cell-free fetal DNA methylation in macaque maternal obesity models (NMR datasets, maternal plasma and infant brain)
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Multi-omics dissection of human RAG deficiency reveals distinctive patterns of immune dysregulation but a common inflammatory signature
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Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma
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Single-nucleus multi-omics identifies shared and distinct pathways in Pick’s and Alzheimer’s disease
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Data from: Understanding the variability of the peanut-oral immunotherapy response through multi-omics profiling of immune cells
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MERFISH+, a large-scale, multi-omics spatial technology resolves the transcriptomic holograms of the 3D human developing heart
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Multi-omics analysis reveals the glycolipid metabolism response mechanism in the liver of Genetically Improved Farmed Tilapia (GIFT, Oreochromis niloticus) under hypoxia stress
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.