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024 7 _ |2 doi
|a 10.1093/gigascience/giae100
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|a pmid:39693632
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037 _ _ |a DZNE-2025-00034
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082 _ _ |a 610
100 1 _ |0 0000-0001-6110-5824
|a Hausmann, Fabian
|b 0
245 _ _ |a A dataset profiling the multiomic landscape of the prefrontal cortex in amyotrophic lateral sclerosis.
260 _ _ |a Oxford
|b Oxford University Press
|c 2024
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520 _ _ |a Amyotrophic lateral sclerosis (ALS) is the most common motor neuron disease, which still lacks effective disease-modifying therapies. Similar to other neurodegenerative disorders, such as Alzheimer and Parkinson disease, ALS pathology is presumed to propagate over time, originating from the motor cortex and spreading to other cortical regions. Exploring early disease stages is crucial to understand the causative molecular changes underlying the pathology. For this, we sampled human postmortem prefrontal cortex (PFC) tissue from Brodmann area 6, an area that exhibits only moderate pathology at the time of death, and performed a multiomic analysis of 51 patients with sporadic ALS and 50 control subjects. To compare sporadic disease to genetic ALS, we additionally analyzed PFC tissue from 4 transgenic ALS mouse models (C9orf72-, SOD1-, TDP-43-, and FUS-ALS) using the same methods. This multiomic data resource includes transcriptome, small RNAome, and proteome data from female and male samples, aimed at elucidating early and sex-specific ALS mechanisms, biomarkers, and drug targets.
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650 _ 7 |2 Other
|a amyotrophic lateral sclerosis
650 _ 7 |2 Other
|a early disease mechanisms
650 _ 7 |2 Other
|a multiomics analysis
650 _ 7 |2 Other
|a neurodegeneration
650 _ 7 |2 Other
|a prefrontal cortex
650 _ 7 |2 NLM Chemicals
|a Proteome
650 _ 2 |2 MeSH
|a Amyotrophic Lateral Sclerosis: genetics
650 _ 2 |2 MeSH
|a Amyotrophic Lateral Sclerosis: metabolism
650 _ 2 |2 MeSH
|a Prefrontal Cortex: metabolism
650 _ 2 |2 MeSH
|a Prefrontal Cortex: pathology
650 _ 2 |2 MeSH
|a Humans
650 _ 2 |2 MeSH
|a Female
650 _ 2 |2 MeSH
|a Mice
650 _ 2 |2 MeSH
|a Male
650 _ 2 |2 MeSH
|a Animals
650 _ 2 |2 MeSH
|a Mice, Transgenic
650 _ 2 |2 MeSH
|a Transcriptome
650 _ 2 |2 MeSH
|a Proteome
650 _ 2 |2 MeSH
|a Disease Models, Animal
650 _ 2 |2 MeSH
|a Aged
650 _ 2 |2 MeSH
|a Gene Expression Profiling: methods
650 _ 2 |2 MeSH
|a Middle Aged
700 1 _ |0 0000-0003-4959-2169
|a Caldi Gomes, Lucas
|b 1
700 1 _ |0 0000-0003-4953-0101
|a Hänzelmann, Sonja
|b 2
700 1 _ |0 0009-0006-5311-1718
|a Khatri, Robin
|b 3
700 1 _ |0 0000-0002-8994-1549
|a Oller, Sergio
|b 4
700 1 _ |0 0009-0001-4696-3799
|a Gebelin, Marie
|b 5
700 1 _ |0 0000-0002-0644-5559
|a Parvaz, Mojan
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700 1 _ |0 0009-0003-7643-3232
|a Tzeplaeff, Laura
|b 7
700 1 _ |0 0000-0003-0319-4448
|a Pasetto, Laura
|b 8
700 1 _ |0 P:(DE-2719)2811347
|a Zhou, Qihui
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700 1 _ |0 0009-0008-6776-663X
|a Zelina, Pavol
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|a Edbauer, Dieter
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|a Pasterkamp, R Jeroen
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700 1 _ |0 0000-0001-7612-9394
|a Rehrauer, Hubert
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700 1 _ |0 0000-0002-7488-4262
|a Schlapbach, Ralph
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700 1 _ |0 0000-0002-0079-319X
|a Carapito, Christine
|b 15
700 1 _ |0 0000-0003-0456-2054
|a Bonetto, Valentina
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700 1 _ |0 P:(DE-2719)2810547
|a Bonn, Stefan
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700 1 _ |0 P:(DE-2719)2812561
|a Lingor, Paul
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773 _ _ |0 PERI:(DE-600)2708999-X
|a 10.1093/gigascience/giae100
|g Vol. 13, p. giae100
|p giae100
|t GigaScience
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|x 2047-217X
|y 2024
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