Dataset of novel object recognition performance and immunohistochemical measurements of astroglial, cholinergic, and neuronal markers in a rat model of Sporadic Alzheimer’s disease | ||
| dc.conicet.datoinvestigacionid | 30125 | |
| dc.conicet.justificacion | ||
| dc.conicet.linkAdjunto | sigeva_files/POSTULANTE/20263122535/DATO/30109/Dataset-Ni_o-Rivero-et-al-2025.xlsx | |
| dc.conicet.localizacionjson | 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| |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Uruguay | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Uruguay | |
| dc.conicet.tituloRelacion | Temporal Progression of Recognition Memory Impairment, Astrogliosis, and Cholinergic Dysfunction in the Streptozotocin Rat Model of Sporadic Alzheimer’s Disease | |
| dc.datacite.Creator | Galeano, Pablo | |
| dc.datacite.Creator | Lagos, Patricia | |
| dc.datacite.Creator | Morelli, Laura | |
| dc.datacite.Creator | Castaño, Eduardo Miguel | |
| dc.datacite.Creator | Niño Rivero, Sofía | |
| dc.datacite.DateType | Recolectado | |
| dc.datacite.DescriptionType | Métodos | |
| dc.datacite.FunderName | AGENCIA NACIONAL DE INNOVACIÓN E INVESTIGACIÓN (ANII) | |
| dc.datacite.FundingReference | FCE_1_2017_1_136039 | |
| dc.datacite.PublicationYear | 2025 | * |
| dc.datacite.affiliation | Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires | |
| dc.datacite.affiliation | Universidad de la República | |
| dc.datacite.affiliation | Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires | |
| dc.datacite.affiliation | Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires | |
| dc.datacite.affiliation | Universidad de la República | |
| dc.datacite.awardTitle | La hormona concentradora de melanina: efectos sobre el aprendizaje y la memoria y potencial efecto benéfico en modelo pre-clínico de Enfermedad de Alzheimer | |
| dc.datacite.date | 2025-2025 | |
| dc.datacite.description | Adult male Wistar rats (250–300 g) were randomly assigned to receive two bilateral intracerebroventricular (ICV) injections of either streptozotocin (STZ, 3 mg/kg total dose) or artificial cerebrospinal fluid (aCSF, control) separated by 48 hours. Animals were evaluated at five post-treatment time points: 15, 30, 60, 90, and 120 days after the second injection. Behavioral performance was assessed using the Novel Object Recognition Test (NORT), which measures recognition memory based on spontaneous exploration of familiar and novel objects. After behavioral testing, animals were perfused, and brain tissue was processed for immunohistochemistry to detect glial fibrillary acidic protein (GFAP), choline acetyltransferase (ChAT), and NeuN. Quantitative analyses of immunoreactive areas and cell counts were performed in hippocampal subfields (CA1, CA3, dentate gyrus) and parietal cortex using ImageJ software. The dataset includes the raw behavioral measurements and immunohistochemical quantifications obtained from these analyses, as described in Niño-Rivero et al. (2025, International Journal of Molecular Sciences, 26, 10944. https://doi.org/10.3390/ijms262210944). | |
| dc.datacite.language | eng | |
| dc.datacite.publisher | Consejo Nacional de Investigaciones Científicas y Técnicas | * |
| dc.datacite.relacionRelatedIdentifierType | info:eu-repo/semantics/reference/hdl/ | |
| dc.datacite.resourceTypeGeneral | dataset | * |
| dc.datacite.subject | Neurociencias | |
| dc.datacite.version | 1.0 | |
| dc.date.accessioned | 2025-11-25T09:29:43Z | |
| dc.date.available | 2025-11-25T09:29:43Z | |
| dc.date.updated | 2025-11-18T14:14:09Z | |
| dc.description.abstract | This dataset contains the raw experimental data generated for the study “Temporal Progression of Recognition Memory Impairment, Astrogliosis, and Cholinergic Dysfunction in the Streptozotocin Rat Model of Sporadic Alzheimer’s Disease” (Niño-Rivero et al., 2025, International Journal of Molecular Sciences. https://doi.org/10.3390/ijms262210944). The data were obtained from adult male Wistar rats that received intracerebroventricular (ICV) injections of streptozotocin (STZ, 3 mg/kg) or artificial cerebrospinal fluid (aCSF, control) and were analyzed at five post-treatment time points (15, 30, 60, 90, and 120 days). The dataset includes raw measurements from behavioral testing using the Novel Object Recognition Test (NORT), as well as quantitative results from immunohistochemical analyses of glial fibrillary acidic protein (GFAP), choline acetyltransferase (ChAT), and NeuN in hippocampal subfields (CA1, CA3, DG) and parietal cortex. These data were used to assess recognition memory performance, astrogliosis, cholinergic fiber density, and neuronal integrity across the temporal progression of the model. The resource was created within a collaborative research project between Universidad de la República (Uruguay) and the Fundación Instituto Leloir–CONICET (Argentina), aimed at characterizing the temporal evolution of behavioral and morphological alterations in the streptozotocin model of sporadic Alzheimer’s disease. | |
| dc.description.fil | Fil: Galeano, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina | |
| dc.description.fil | Fil: Lagos, Patricia. Universidad de la República; Uruguay | |
| dc.description.fil | Fil: Morelli, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina | |
| dc.description.fil | Fil: Castaño, Eduardo Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina | |
| dc.description.fil | Fil: Niño Rivero, Sofía. Universidad de la República; Uruguay | |
| dc.identifier.citation | Galeano, Pablo; Lagos, Patricia; Morelli, Laura; Castaño, Eduardo Miguel; Niño Rivero, Sofía; (2025): Dataset of novel object recognition performance and immunohistochemical measurements of astroglial, cholinergic, and neuronal markers in a rat model of Sporadic Alzheimer’s disease. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/276053 | * |
| dc.identifier.institucional | CONICET | |
| dc.identifier.repo | CONICET Digital | |
| dc.identifier.uri | http://hdl.handle.net/11336/276053 | |
| dc.relationtype.isSourceOf | 11336/280919 | |
| dc.rights | info:eu-repo/semantics/openAccess | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | * |
| dc.subject.keyword | ALZHEIMER’S DISEASE | |
| dc.subject.keyword | STREPTOZOTOCIN | |
| dc.subject.keyword | RECOGNITION MEMORY | |
| dc.subject.keyword | ASTROGLIOSIS | |
| dc.subject.keyword | ACETYLCHOLINE | |
| dc.subject.keyword | HIPPOCAMPUS | |
| dc.subject.keyword | PARIETAL CORTEX | |
| dc.title | Dataset of novel object recognition performance and immunohistochemical measurements of astroglial, cholinergic, and neuronal markers in a rat model of Sporadic Alzheimer’s disease | |
| dc.type | dataset | * |
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