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Dataset results
897 results for “Therapeutic targets”
Multi-omics based dynamic molecular changes characterization in EV-A71-infected mice elucidating potential therapeutic targets
GEO Series GSE252789. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.
Small molecule RNA therapeutics to target prostate cancer [DMS MaP-seq]
GEO Series GSE283444. Homo sapiens. 32 samples. Type: Other.
Aberrant differentiation of glioma stem cells: Implications for therapeutic targeting (shift)
GEO Series GSE58922. Homo sapiens. 4 samples. Type: Expression profiling by array.
Transcriptional profiling of a patient-matched cohort of glioblastoma (IDH-wildtype) for therapeutic target and repurposing drug identification
GEO Series GSE212067. Homo sapiens. 18 samples. Type: Expression profiling by array.
Targeting Bradykinin Signaling Pathway: PLGA/BK Microspheres as a Therapeutic Strategy for Delaying Intervertebral Disc Degeneration
GEO Series GSE277600. Rattus norvegicus. 6 samples. Type: Expression profiling by high throughput sequencing.
Epigenetically defined therapeutic targeting in H3G34R/V high-grade gliomas [RNA-Seq]
GEO Series GSE161288. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Therapeutic targeting ERRγ suppresses metastasis via extracellular matrix remodeling in small cell lung cancer (ChIP-Seq)
GEO Series GSE259272. Homo sapiens. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Aberrant differentiation of glioma stem cells: Implications for therapeutic targeting [Xenograph]
GEO Series GSE58923. Homo sapiens. 12 samples. Type: Expression profiling by array.
Screening microRNA-196 targets in 11q23-translocation acute myeloid leukemia reveal mechanisms maintaining leukemia stemness with therapeutic potential
GEO Series GSE75843. Homo sapiens; Mus musculus. 26 samples. Type: Expression profiling by array; Expression profiling by high throughput sequencing.
Transition metal ions as a new therapeutic target for cardiac light chain amyloidosis
<p>This dataset comprises raw data related to the study “Transition metal ions as a new therapeutic target for cardiac light chain amyloidosis”, aimed at investigating the <em>in vitro </em>and <em>in vivo</em> role of transition metal ions in the redox process underlying LC cardiotoxicity. This research was funded by Italian Ministry of Health (Ricerca Finalizzata RF-2016-02361756 to Prof. Giovanni Palladini).</p>
CTHRC1 is a new therapeutic target and serum diagnostic biomarker for aortic dissection
GEO Series GSE298176. Mus musculus. 54 samples. Type: Expression profiling by high throughput sequencing.
Bone marrow stromal cell antigen 2 is a novel therapeutic target of glioblastoma stem cells
GEO Series GSE85024. Homo sapiens. 2 samples. Type: Expression profiling by array.
Targeting oncogenic BCR signaling therapeutically by glucocorticoids and CSK inhibition
GEO Series GSE225858. Homo sapiens. 83 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Semaphorin 3E as a novel therapeutic target for neuropathic pain
GEO Series GSE290407. Mus musculus. 3 samples. Type: Expression profiling by array.
Gene expression profiling to identify potential therapeutic targets and improve prognostication of advanced penile squamous cell carcinoma
GEO Series GSE85730. Homo sapiens. 33 samples. Type: Expression profiling by array.
Comprehensive transcriptome profiling of ulcerative colitis mouse model suggests biomarkers and therapeutic targets for human colitis
GEO Series GSE155303. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Dataset for the project "Dissecting molecular mechanisms triggered by progressive loss of progranulin and C9orf72 in frontotemporal dementia: novel therapeutic targets? (RF-2016-02361492)
<p><strong>Dataset for the project “Dissecting molecular mechanisms triggered by progressive loss of progranulin and C9orf72 in frontotemporal dementia: novel therapeutic targets?” Italian Ministry of Health, Italy, Ricerca Finalizzata (Grant RF-2016-02361492)</strong></p> <p><strong>Specific Aim 1</strong></p> <p>To further collect and generate human cellular disease models (skin fibroblast and LCL) of progressive progranulin and C9orf72 loss.</p> <p><strong>Specific Aim 2</strong></p> <p>To test the hypothesis that EVs secreted from microglia, in which GRN or C9orf72 are downregulated, contain and deliver excessive C1q and C3 complements factors to the synapses, thereby causing aberrant synaptic pruning. Results of this aim will clarify whether microglia-derived EVs have a pathogenic role in the disease, thus indicating a novel therapeutic target to limit synaptic loss and disease progression.</p> <p><strong>Specific Aim 3</strong></p> <p>To identify sensitive biomarkers for patient stratification and treatment monitoring by a) characterization of exosomal and lysosomal pathways in human cellular disease models with progressive loss of progranulin and C9orf72; b) studying lysosomal and immune proteins in EVs circulating in body fluids of subjects with progressive loss of progranulin and C9orf72; c) studying the impact of variants in lysosomal genes on age of disease onset in subjects carrying GRN and C9orf72 mutations.</p> <p>The present dataset contains the following folders:</p> <ul> <li><strong>RawData_Aim2 [Unpublished Data]:</strong> <ul> <li>Materials and Methods_RawData_Aim2</li> <li>RawData_Aim2: a dataset (excel file) containing the following sheets: <ul> <li>Fig.1: Number of EVs from microglia (analysis with Tunable Resistive Pulse Sensing-TRPS technique, using a qNano instrument)</li> <li>Fig.2: Genetic expression levels of homeostatic and inflammatory genes in microglia</li> <li>Fig.3: WB analysis to confirm GRN silencing in microglia</li> <li>Fig.4A: Quantification of immunofluorescence analysis for Lamp-1, CD68, and Cathepsin D</li> <li>Fig.4B: WB analysis for Lamp-1, CD68, TMEM119 and Cathepsin D in microglia</li> <li>Fig.5A: WB analysis for C3, C1q, and TMEM119 in microglia</li> <li>Fig.5B: Quantification of immunofluorescence analysis for C1q and Cd11b in microglia</li> <li>Fig.5C: WB analysis for C3, C1q, Alix, Flotillin, Annexin-A2, and TOM20 in EVs from microglia</li> <li>Fig.6A-B: WB analysis for C3, C1q, Lamp1, CD68, Cathepsin D, Alix, and Annexin-A2 in EVs</li> <li>Fig.8: densitometric analysis of presynaptic terminals (Basson) and postsynaptic terminals (Shank2) in neuron-microglia cocultures (no treatment)</li> <li>Fig.9: densitometric analysis of presynaptic terminals (Basson) and postsynaptic terminals (Shank2) in neuron-microglia cocultures (treatments GW4869)</li> <li>Fig.10: densitometric analysis of presynaptic terminals (Basson) and postsynaptic terminals (Shank2) in neuron-microglia cocultures (treatments with EVs)</li> <li>Fig.11: Phagocytosis assay</li> </ul> </li> <li>Fig.4A: a folder containing original immunofluorescence pictures for Lamp-1, CD68, and Cathepsin D in microglia</li> <li>Fig.5B: a folder containing original immunofluorescence pictures for C1q and Cd11b in microglia</li> <li>Fig.11: a folder containing original pictures from phagocytosis assay</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>RawData_Aim3a_Fibroblast [Unpublished Data]</strong>: <ul> <li>Materials and Methods_Aim3a_Fibroblasts</li> <li>RawData_Aim3a_Fibroblasts_NTA_Complement_LC3_CathD: a folder containing: <ul> <li>RawData_Aim3a_Fibroblasts_NTA_Complement_LC3_CathD: a dataset (excel file) containing the following variables referred to EVs from fibroblasts: <ul> <li>Sample (Col. A) and its Category (Col. B)</li> <li>Raw NTA File name (Col. C)</li> <li>Raw Values_C1q EVs from Bioplex assay (Col. D-F)</li> <li>Raw Values_C3 EVs from Bioplex assay (Col. G-I)</li> <li>Raw Values_C4 EVs from Bioplex assay (Col. J-L)</li> <li>Raw Values_LC3 EVs from ELISA assay (Col. M-P)</li> <li>Raw Values_Cathepsin D EVs from ELISA assay (Col. Q-T)</li> </ul> </li> <li>RawData_Aim3a_Fibroblasts_NTA_Files: a folder containing Raw NTA file for each sample (from these files we extracted EV concentration and size)</li> </ul> </li> <li>RawData_Aim3a_Fibroblasts_EVMarkers_PGRN_C9orf72_pTDP43: a folder containing: <ul> <li>WB_Aim3a_Fibroblasts_EVMarkers: a folder containing original WB pictures for EV biomarkers TSG101, Alix, CD63, Flotillin-1</li> <li>ELISA_C9orf72_Fibroblasts: a dataset containing raw C9orf72 data from ELISA assay on fibroblasts lysates and EVs lysates</li> <li>ELISA_pTDP43_Fibroblasts: a dataset containing raw pTDP43 data from ELISA assay on fibroblasts lysates and EVs lysates</li> <li>WB_Analyses_Fibroblasts_PGRN: a dataset containing densitometric analysis from WB on fibroblasts lysates and EVs lysates for PGRN and Actin/TSG101 (for cells/EVs normalization respectively)</li> </ul> </li> </ul> </li> </ul> <p> </p> <ul> <li><strong>3.a RawData_Aim3a_LCL [Unpublished Data]</strong>: <ul> <li>Materials and Methods_Aim3a _LCL</li> <li>RawData_Aim3a_LCL_NTA_Complement_LC3_CathD: a folder containing: <ul> <li>RawData_Aim3a_LCL_NTA_Complement_LC3_CathD: a dataset (excel file) containing the following variables referred to EVs from LCL: <ul> <li>Sample (Col. A)</li> <li>Category (Col. B)</li> <li>Raw NTA File name (Col. C)</li> <li>Raw Values_C1q EVs from Bioplex assay (Col. D-F)</li> <li>Raw Values_C3 EVs from Bioplex assay (Col. G-I)</li> <li>Raw Values_C4 EVs from Bioplex assay (Col. J-L)</li> <li>Raw Values_LC3 EVs from ELISA assay (Col. M-P)</li> <li>Raw Values_Cathepsin D EVs from ELISA assay (Col. Q-T)</li> </ul> </li> <li>RawData_Aim3a_LCL_NTA_Files: a folder containing Raw NTA file for each sample (from these files we extracted EV concentration and size)</li> </ul> </li> <li>WB_Analyses_Aim3a_LCL_PGRN_C9orf72_TDP43_pTDP43_Lamp1: a dataset containing densitometric analysis from WB on LCL lysates and EVs lysates for PGRN, C9orf72, p-TDP43, TDP43, Lamp-1, Actin/TSG101 (for cells/EVs normalization respectively)</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>3.b </strong><strong>RawData_Aim3b_Plasma_1 [Published] </strong><br> Results (NTA data) from aim 3.b are published in Bellini&Saraceno et al. Cells 2022 (doi:10.3390/cells11030488) and the raw data supporting the results are published in the Mendeley Data Repository at doi:10.17632/kds9sb4z6t.2 <ul> <li>Materials and Methods_Aim3b_Plasma</li> <li>RawData_Aim3b_Plasma: a folder containing: <ul> <li>RawData_Aim3b_Plasma: a dataset (excel file) containing the following variables: <ul> <li>Sample (Col. A)</li> <li>Category (Col. B)</li> <li>Age (Col. C)</li> <li>Corresponding Raw NTA File name (Col. D)</li> </ul> </li> <li>RawData_Aim3b_NTA_Files: a folder containing Raw NTA file for each sample (from these files we extracted EV concentration and size)</li> </ul> </li> </ul> </li> </ul> <p> </p> <ul> <li><strong>3.b </strong><strong>RawData_Aim3b_Plasma_2 [<em>in press</em>]</strong><br> Results (NTA and Cathepsin D data) from aim 3.b have been included in an article submitted to IJMS (Manuscript ID: ijms-1899683; <em>in press</em>) and the raw data supporting the results are published in the Zenodo Data Repository at doi: 10.5281/zenodo.6958338. <ul> <li>Materials and Methods_Aim3b_Plasma</li> <li>RawData_Aim3b_Plasma: a folder containing: <ul> <li>RawData_Aim3b_Plasma: a dataset (excel file) containing the following variables: <ul> <li>Sample (Col. A)</li> <li>Category (Col. B)</li> <li>Age (Col. C)</li> <li>Onset (Col. D)</li> <li>Corresponding Raw NTA File name (Col. E)</li> <li>Raw Values_Cathepsin D plasma EVs from ELISA assay (Col. F-J)</li> <li>Raw Values_Cathepsin D plasma from ELISA assay (Col. K-O)</li> </ul> </li> <li>RawData_Aim3b_NTA_Files: a folder containing Raw NTA file for each sample (from these files we extracted EV concentration and size)</li> </ul> </li> </ul> </li> </ul> <p> </p> <ul> <li><strong>3.c </strong><strong>RawData_Aim3c_NGS [Submitted]</strong><br> Results from aim 3.c have been included in an article submitted to IJMS (Manuscript ID: ijms-1922450; Under review) and the raw data supporting the results are openly available in the Zenodo Data Repository at doi: 10.5281/zenodo.7040532. <ul> <li>Materials and Methods_Aim3c_NGS</li> <li>RawData­_ Aim3c_NGS: a folder containing: <ul> <li>Correspondence_RawData_NGS: a dataset (excel file) containing the following variables: <ul> <li>Sample (Col. A)</li> <li>Group (Col. B)</li> <li>Corresponding g.vcf File name (Col. C)</li> </ul> </li> </ul> </li> <li>Gene_Selection: a file with the selection of the 98 genes related to the lysosomal pathway included in the NGS panel</li> </ul> </li> </ul> <p> </p>
ScienceDex guides
Understand access before you commit
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.