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5,330 results for “MicroRNAs”
Transcriptome, Small RNA, and Degradome Sequencing Reveals the Roles of MicroRNAs in Response to High Night Temperature Stress at the Filling Stage of Rice
GEO Series GSE225259. Oryza sativa. 12 samples. Type: Expression profiling by high throughput sequencing.
MicroRNA expression in mandibles of Wistar and Spontaneously Hypertensive rats with periodontal disease
GEO Series GSE241787. Rattus norvegicus; synthetic construct. 12 samples. Type: Non-coding RNA profiling by array.
The microRNA-200 family regulates pancreatic beta-cell survival in type 2 diabetes (Min6 cells)
GEO Series GSE58487. Mus musculus. 2 samples. Type: Expression profiling by array.
microRNA profile of human intrahepatic cholangiocarcinoma: intrahepatic cholangiocarcinoma vs. normal intrahepatic bile duct tissue
GEO Series GSE53870. Homo sapiens. 72 samples. Type: Non-coding RNA profiling by array.
Differential expression profiles of plasma exosomal microRNAs identify potential biomarkers for rheumatoid arthritis
GEO Series GSE218599. Homo sapiens. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Identification and characterization analysis of the Oriental River Prawn (Macrobrachium nipponense) microRNA response to hypoxia using a deep sequencing approach [miRNA-Seq]
GEO Series GSE72417. Macrobrachium nipponense. 1 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Expression profiles of microRNAs in fetus and lamb muscle tissue.
GEO Series GSE196948. Capra hircus. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
MicroRNAs in the exosome-like nanoparticles from orange juice inhibit Citrus blue mold caused by Penicillium italicum [degradome]
GEO Series GSE214037. Penicillium italicum. 1 samples. Type: Expression profiling by high throughput sequencing; Other.
Distinctive microRNA signature of medulloblastomas associated with the WNT signaling pathway
Medulloblastoma is a malignant brain tumor that occurs predominantly in children. Current risk stratification based on the clinical parameters is inadequate for accurate prognostication. In order to get a better understanding of medulloblastoma biology, miRNA profiling of medulloblastomas was carried out in parallel with the expression profiling of protein- coding genes.
MicroRNA Childhood Cancer Catalog Version 2.0
The principle of this platform is, based on the translational bioinformatics spectrum, to bring miRNA research into clinical validity then clinical utility in both patient care and drug discovery using digital innovation and health informatics in childhood cancer diseases. M3Cs version 2.0 seeks to contribute to the achievement of SDG Goal 3: 'Ensure healthy lives and promote well-being for all at all ages', and SDG Goal 9 'Innovation and infrastructure' especially Target 9.5, as well as SDG Goal 17 'Partnership'.
MicroRNA-9 on the tumorigenesis of breast cancer in MMTV-PyMT mice model
GEO Series GSE202309. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Association of microRNAs with colon tumor metastases
GEO Series GSE44121. Homo sapiens. 18 samples. Type: Non-coding RNA profiling by array.
Genome-wide profiling of microRNAs revealing novel insights into mutual interactions mechanism between H9N2 avian influenza virus and avian dendritic cells
GEO Series GSE100916. Gallus gallus. 2 samples. Type: Expression profiling by array.
microRNA expression profile in HEK293T cells infected with Chikungunya virus
GEO Series GSE49884. synthetic construct; Homo sapiens. 7 samples. Type: Non-coding RNA profiling by array.
A microRNA-mRNA Expression Network during Oral Siphon Regeneration in Ciona
GEO Series GSE84837. Ciona robusta. 25 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
microRNA expression profile related to lymph node status in women with stage grade 1-2-3 endometrial cancer
GEO Series GSE75968. Homo sapiens; synthetic construct. 24 samples. Type: Non-coding RNA profiling by array.
Small RNA and Degradome Deep Sequencing Reveals the roles of microRNAs in Seed Expansion in Peanut (Arachis hypogaea L.)
GEO Series GSE110195. Arachis hypogaea. 14 samples. Type: Other; Non-coding RNA profiling by high throughput sequencing.
BSc project data repository, In silico analysis of microRNA regulation of tomato trichome-based specialized metabolism
<p>Data repository of the bachelor project of Sjors Huizinga (April - June, 2020).</p> <p>The following files are present:</p> <p>README.txt</p> <p>NDA_SjorsHuizinga.pdf<br> Contains the non-disclosure agreement signed before the start of the project.</p> <p>Scripts_Github_Repository.txt<br> Contains the URL of the github repostory in which all custom scripts created<br> and used during the project are stored.</p> <p>The following subfolders are present:</p> <p>ProjectPlan<br> Contains the research proposal.</p> <p>RawData<br> Contains raw data that is considered read-only; degradome data, metabolite<br> data, miRNA data, and trichome count data.</p> <p>Results<br> Contains figures, tables, and data generated during the project; annotation<br> target prediction, degradome analysis, etc.</p>
Dataset related to the article "The microRNA-34a-induced senescence-associated secretory phenotype (SASP) favors Vascular Smooth Muscle Cells calcification"
<p>This record containsraw data related to the article"The microRNA-34a-induced senescence-associated secretory phenotype (SASP) favors Vascular Smooth Muscle Cells calcification"</p> <p>The senescence of vascular smooth muscle cells (VSMCs), characterized by the acquisition of senescence-associated secretory phenotype (SASP), is relevant for VSMCs osteoblastic differentiation and vascular calcification (VC). MicroRNA-34a (miR-34a) is a driver of such phenomena and could play a role in vascular inflammaging.</p> <p>Herein, we analyzed the relationship between miR-34a and the prototypical SASP component IL6 in <em>in vitro</em> and <em>in vivo</em> models. miR-34a and IL6 levels increased and positively correlated in aortas of 21 months-old male C57BL/6J mice and in human aortic smooth muscle cells (HASMCs) isolated from donors of different age and undergone senescence. Lentiviral overexpression of miR-34a in HASMCs enhanced IL6 secretion. HASMCs senescence and calcification accelerated after exposure to conditioned medium of miR-34a-overexpressing cells. Analysis of miR-34a-induced secretome revealed enhancement of several pro-inflammatory cytokines and chemokines, including IL6, pro-senescent growth factors and matrix-degrading molecules. Moreover, induction of aortas medial calcification and concomitant IL6 expression, with an overdose of vitamin D, were reduced in male C57BL/6J <em>Mir34a<sup>-/-</sup></em> mice. Finally, a positive correlation was observed between circulating miR-34a and IL6 in healthy subjects of 20-90 years.</p> <p>Hence, the vascular age-associated miR-34a promotes VSMCs SASP activation and contributes to arterial inflammation and dysfunctions such as VC.</p> <p> </p>
Putative Circulating MicroRNAs Are Able to Identify Patients with Mitral Valve Prolapse and Severe Regurgitation
<p>This record contains raw data related to the article “Putative Circulating MicroRNAs Are Able to Identify Patients with Mitral Valve Prolapse and Severe Regurgitation”. Mitral valve prolapse (MVP) associated with severe mitral regurgitation is a debilitating disease with no pharmacological therapies available. MicroRNAs (miRNA) represent an emerging class of circulating biomarkers that have never been evaluated in MVP human plasma. Our aim was to identify a possible miRNA signature that is able to discriminate MVP patients from healthy subjects (CTRL) and to shed light on the putative altered molecular pathways in MVP. We evaluated a plasma miRNA profile using Human MicroRNA Card A followed by real-time PCR validations. In addition, to assess the discriminative power of selected miRNAs, we implemented a machine learning analysis. MiRNA profiling and validations revealed that miR-140-3p, 150-5p, 210-3p, 451a, and 487a-3p were significantly upregulated in MVP, while miR-223-3p, 323a-3p, 340-5p, and 361-5p were significantly downregulated in MVP compared to CTRL (<em>p</em> ≤ 0.01). Functional analysis identified several biological processes possible linked to MVP. In addition, machine learning analysis correctly classified MVP patients from CTRL with high accuracy (0.93) and an area under the receiving operator characteristic curve (AUC) of 0.97. To the best of our knowledge, this is the first study performed on human plasma, showing a strong association between miRNAs and MVP. Thus, a circulating molecular signature could be used as a first-line, fast, and cheap screening tool for MVP identification.</p>
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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.