Alzheimer-kór: ki dolgozik rajta

Intézményenként egy kártya. Válassz célpontot, és csak az azon dolgozó csoportok maradnak.

• Minden célpont
• APOE 16
• MAPT 2
• APP 1
• NRF2 0
• NLRP3 0
• TREM2 0
• AKT 0
• BDNF 0
• TDP-43 2
• PI3K 0
• BACE1 0
• GLP-1 1
• MAPK 0
• PPAR 0
• AMPK 0
• mTOR 0
• PSEN1 1
• STING 0
• ERK 0
• NMDA 1
• SNCA 0
• TLR4 0
• JNK 0
• SIRT1 0
• CTNNB1 0
• STAT3 0
• TP53 0
• TNF 0
• HDAC 0
• HIF-1 0
• SGLT2 0
• HMGB1 0
• GPX4 0
• IL-1 0
• PCSK9 0
• COX-2 0
• HSP90 1
• C9orf72 0
• DPP-4 0
• PINK1 0
• IL-17 0
• TFEB 0
• IL-6 0
• PD-L1 0
• VEGF 0
• YAP 0
• AQP4 0
• CD33 0
• IGF1R 0
• MMP-9 0
• CCR5 0
• EGFR 0
• FTO 0
• GBA1 0
• GIP 0
• JAK 0
• KEAP1 0
• PARP 0
• PD-1 0
• ACE2 0

9+ intézményből 9, a friss publikációk és a nyitott vizsgálatok szerint rendezve. Ez nem minőségi rangsor.

Funded research projects that name this disease in their title, terms or summary and have not ended yet: who is funded, where, how much and until when. Organisations only; the funder's page has the details.

• NIH NIMH · F31

  The role of the default mode network in representing and remembering mental states

  Boston College· Chestnut Hill, Egyesült Államok· 35 733 USD awarded in fiscal year 2026· until 2028. okt.

• U.S. Department of Veterans Affairs · I01

  SleepSMART for Veterans with Insomnia and Mild Cognitive Impairment: A Randomized Clinical Trial

  Va San Diego Healthcare System· San Diego, Egyesült Államok· until 2031. szept.

• U.S. Department of Veterans Affairs · IK2

  Cognitive Risk Profiles Among Aging Veterans: Harnessing Big Data for Precision Medicine

  Va San Diego Healthcare System· San Diego, Egyesült Államok· until 2031. szept.

• NIH NIA · R03

  Improve and Validate Amyloid Pathology Visualization and Analysis in Intact Brain Samples

  Massachusetts General Hospital· Boston, Egyesült Államok· 329 220 USD awarded in fiscal year 2026· until 2028. szept.

• NIH NIA · R01

  Enhanced Mapping of Alzheimer's Disease Risk Loci Using Multimodal RNAseq Data

  Emory University· Atlanta, Egyesült Államok· 653 912 USD awarded in fiscal year 2026· until 2031. máj.

• European Commission (Horizon Europe) · HORIZON-TMA-MSCA-PF-EF

  Neuroinflammation and Virus Imaging for Smart Therapeutic Approaches (NEUROVISTA)

  Umea Universitet· Umea, Svédország· EU contribution 236 340 EUR· until 2029. aug.

  The disease is named only in the funder's project summary, not in the title.

• European Commission (Horizon Europe) · HORIZON-TMA-MSCA-PF-EF

  Interneuron subtype-specific control of hippocampal memory encoding and retrieval (INSPIRE)

  Universitaetsklinikum Freiburg· Freiburg, Németország· EU contribution 202 125 EUR· until 2029. aug.

  The disease is named only in the funder's project summary, not in the title.

• European Commission (Horizon Europe) · HORIZON-TMA-MSCA-PF-EF

  Warfare and Agricultural Resilience Nexus in the Ancient Mediterranean (6th. BC - 4th c. AD) (WARNex)

  University College Dublin, National University of Ireland, Dublin· Dublin, Írország· EU contribution 252 729 EUR· until 2029. aug.

• European Commission (Horizon Europe) · HORIZON-TMA-MSCA-PF-EF

  Attentional Control and Mapping in Spatial Navigation: Defining Behavioral Fingerprints for Early Alzheimer’s Risk Detection (SPATIALOS)

  Universitat Jaume I de Castellon· Castellon De La Plana, Spanyolország· EU contribution 209 915 EUR· until 2029. ápr.

• European Commission (Horizon Europe) · HORIZON-ERC

  Principles of UFMylation-driven antibacterial defence (UBACT)

  Universite de Geneve· Geneve, Svájc· EU contribution 1 898 233 EUR· until 2032. ápr.

  The disease is named only in the funder's project summary, not in the title.

10 of 5135 running projects, newest first. Listed amounts together: 4,3 Mrd USD + 321,1 M EUR.

Sources: NIH RePORTER (U.S. National Institutes of Health, public domain) and CORDIS (European Commission, CC BY 4.0). Changes: filtered by disease, organisations matched to ROR.

Vizsgálatok, amelyek regiszteradata szerint az egyéni résztvevői adatokat (IPD) megosztják.

Ebben a nézetben egy vizsgálat sem jelzi, hogy megosztaná a résztvevői adatokat.

Publikációk erről a betegségről egy MeSH-módszerkifejezés szerint, például szekvenálási vagy képalkotó módszerre.

• Single-Cell Analysis 86
• Organoids 36
• Mendelian Randomization Analysis 136
• CRISPR-Cas Systems 24
• Gene Expression Profiling 176
• Sequence Analysis, RNA 20
• Whole Genome Sequencing 17
• Exome Sequencing 7
• Proteomics 229
• Metabolomics 81
• Mass Spectrometry 62
• Flow Cytometry 16
• Immunohistochemistry 74
• Liquid Biopsy 5
• Xenograft Model Antitumor Assays 1
• Positron-Emission Tomography 676
• Magnetic Resonance Imaging 1001
• Machine Learning 253
• Deep Learning 166
• Cohort Studies 536
• Genome-Wide Association Study 216

• Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

  Methods Mol Biol, 2027. jan.

• scMINA: an interpretable workflow for paired scRNA-scATAC multiome integration and regulatory prioritization.

  NAR Genom Bioinform, 2026. nov.

• Single-cell machine learning uncovers genetically anchored, cell-type specific programs of Alzheimer's disease.

  Nat Commun, 2026. nov.

• Single-cell, spatial, and machine learning analyses identify ANKIB1 as an oligodendrocyte-anchored palmitoylation-associated candidate biomarker of Alzheimer's disease.

  Transl Psychiatry, 2026. okt.

• Bisphenol A Exposure Perturbs the Immune Microenvironment in Alzheimer's Disease: Insights from Network Toxicology and Single-Cell Transcriptomics.

  J Mol Neurosci, 2026. okt.

• Integrating Morphology and Gene Expression of Neural Cells in Unpaired Single-Cell Data Using GeoAdvAE.

  J Comput Biol, 2026. szept.

• Spatial cell-cell communication inference based on cell-spot-ligand-receptor heterogeneous graphs.

  PLoS Comput Biol, 2026. szept.

• Efficient differential expression analysis of large-scale single-cell transcriptomics data using Dreamlet.

  Nat Commun, 2026. szept.

• Personalized single-cell transcriptomics reveals molecular diversity in Alzheimer's disease.

  Nat Commun, 2026. szept.

• AI-based characterization of Alzheimer's disease phenotypes from population-scale single-cell data.

  Nat Med, 2026. szept.

Megmutatjuk, a betegség mely célpontjait említi az absztrakt, és onnan a rajtuk dolgozókhoz jutsz.