Convergent cerebrospinal fluid proteomes and metabolic ontologies in humans and animal models of Rett syndrome.
Convergent cerebrospinal fluid proteomes and metabolic ontologies in humans and animal models of Rett syndrome.
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DOI:
10.1016/j.isci.2022.104966
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发表时间:
2022-09-16
期刊:
影响因子:
5.8
通讯作者:
Faundez, Victor
中科院分区:
文献类型:
--
作者:
Zlatic, Stephanie A.;Duong, Duc;Gadalla, Kamal K. E.;Murage, Brenda;Ping, Lingyan;Shah, Ruth;Fink, James J.;Khwaja, Omar;Swanson, Lindsay C.;Sahin, Mustafa;Rayaprolu, Sruti;Kumar, Prateek;Rangaraju, Srikant;Bird, Adrian;Tarquinio, Daniel;Carpenter, Randall;Cobb, Stuart;Faundez, Victor
MECP2 loss-of-function mutations cause Rett syndrome, a neurodevelopmental disorder resulting from a disrupted brain transcriptome. How these transcriptional defects are decoded into a disease proteome remains unknown. We studied the proteome of Rett cerebrospinal fluid (CSF) to identify consensus Rett proteome and ontologies shared across three species. Rett CSF proteomes enriched proteins annotated to HDL lipoproteins, complement, mitochondria, citrate/pyruvate metabolism, synapse compartments, and the neurosecretory protein VGF. We used shared Rett ontologies to select analytes for orthogonal quantification and functional validation. VGF and ontologically selected CSF proteins had genotypic discriminatory capacity as determined by receiver operating characteristic analysis in Mecp2-/y and Mecp2−/+. Differentially expressed CSF proteins distinguished Rett from a related neurodevelopmental disorder, CDKL5 deficiency disorder. We propose that Mecp2 mutant CSF proteomes and ontologies inform putative mechanisms and biomarkers of disease. We suggest that Rett syndrome results from synapse and metabolism dysfunction. Shared Rett CSF proteome ontologies across species and experimental approaches Rett CSF proteome enriches HDL lipoprotein, mitochondria, and synapse ontologies VGF levels discriminate Mecp2-/y, Mecp2−/+, from control CSF Rett CSF proteome and ontologies are distinct from those in Cdkl5-/y CSF Disease; Pathophysiology; Clinical neuroscience; Proteomics
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影响因子:
11.8
作者:
Chau KF;Springel MW;Broadbelt KG;Park HY;Topal S;Lun MP;Mullan H;Maynard T;Steen H;LaMantia AS;Lehtinen MK
通讯作者:
Lehtinen MK
影响因子:
14.5
作者:
Banerjee, Abhishek;Miller, Meghan T.;Kaufmann, Walter E.
通讯作者:
Kaufmann, Walter E.
影响因子:
11.8
作者:
Cheng, Tian-Lin;Wang, Zhizhi;Qiu, Zilong
通讯作者:
Qiu, Zilong
影响因子:
1.7
作者:
BUDDEN, SS;MYER, EC;BUTLER, IJ
通讯作者:
BUTLER, IJ
DOI:
10.1093/bioinformatics/btp101
发表时间:
2009-04-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Bindea G;Mlecnik B;Hackl H;Charoentong P;Tosolini M;Kirilovsky A;Fridman WH;Pagès F;Trajanoski Z;Galon J
通讯作者:
Galon J