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- Rajewsky, N., et al.
(författare)
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LifeTime and improving European healthcare through cell-based interceptive medicine
- 2020
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Ingår i: Nature. - : Springer Nature. - 0028-0836 .- 1476-4687. ; 587:7834, s. 377-386
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Tidskriftsartikel (refereegranskat)abstract
- LifeTime aims to track, understand and target human cells during the onset and progression of complex diseases and their response to therapy at single-cell resolution. This mission will be implemented through the development and integration of single-cell multi-omics and imaging, artificial intelligence and patient-derived experimental disease models during progression from health to disease. Analysis of such large molecular and clinical datasets will discover molecular mechanisms, create predictive computational models of disease progression, and reveal new drug targets and therapies. Timely detection and interception of disease embedded in an ethical and patient-centered vision will be achieved through interactions across academia, hospitals, patient-associations, health data management systems and industry. Applying this strategy to key medical challenges in cancer, neurological, infectious, chronic inflammatory and cardiovascular diseases at the single-cell level will usher in cell-based interceptive medicine in Europe over the next decade.
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- Lips, E. S., et al.
(författare)
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Functional gene group analysis identifies synaptic gene groups as risk factor for schizophrenia
- 2012
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Ingår i: Molecular Psychiatry. - : Springer Science and Business Media LLC. - 1359-4184 .- 1476-5578. ; 17:10, s. 996-1006
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Tidskriftsartikel (refereegranskat)abstract
- Schizophrenia is a highly heritable disorder with a polygenic pattern of inheritance and a population prevalence of similar to 1%. Previous studies have implicated synaptic dysfunction in schizophrenia. We tested the accumulated association of genetic variants in expert-curated synaptic gene groups with schizophrenia in 4673 cases and 4965 healthy controls, using functional gene group analysis. Identifying groups of genes with similar cellular function rather than genes in isolation may have clinical implications for finding additional drug targets. We found that a group of 1026 synaptic genes was significantly associated with the risk of schizophrenia (P = 7.6 x 10(-11)) and more strongly associated than 100 randomly drawn, matched control groups of genetic variants (P < 0.01). Subsequent analysis of synaptic subgroups suggested that the strongest association signals are derived from three synaptic gene groups: intracellular signal transduction (P = 2.0 x 10(-4)), excitability (P = 9.0 x 10(-4)) and cell adhesion and trans-synaptic signaling (P = 2.4 x 10(-3)). These results are consistent with a role of synaptic dysfunction in schizophrenia and imply that impaired intracellular signal transduction in synapses, synaptic excitability and cell adhesion and trans-synaptic signaling play a role in the pathology of schizophrenia. Molecular Psychiatry (2012) 17, 996-1006; doi:10.1038/mp.2011.117; published online 20 September 2011
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- Nadadhur, A. G., et al.
(författare)
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Multi-level characterization of balanced inhibitory-excitatory cortical neuron network derived from human pluripotent stem cells
- 2017
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Ingår i: PLOS ONE. - : Public Library of Science. - 1932-6203. ; 12:6
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Tidskriftsartikel (refereegranskat)abstract
- Generation of neuronal cultures from induced pluripotent stem cells (hiPSCs) serve the studies of human brain disorders. However we lack neuronal networks with balanced excitatory- inhibitory activities, which are suitable for single cell analysis. We generated low-density networks of hPSC-derived GABAergic and glutamatergic cortical neurons. We used two different co-culture models with astrocytes. We show that these cultures have balanced excitatory-inhibitory synaptic identities using confocal microscopy, electrophysiological recordings, calcium imaging and mRNA analysis. These simple and robust protocols offer the opportunity for single-cell to multi-level analysis of patient hiPSC-derived cortical excitatory- inhibitory networks; thereby creating advanced tools to study disease mechanisms underlying neurodevelopmental disorders.
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