Mammalian axonal development begins in embryonic stages and continues postnatally. After birth, axonal proteomic landscape changes rapidly, coordinated by transcription, protein turnover, and post-translational modifications. Comprehensive profiling of axonal proteomes across neurodevelopment is limited, with most studies lacking cell-type and neural circuit specificity, resulting in substantial information loss. We create a Cre-dependent APEX2 reporter mouse line and map cell-type-specific proteome of corticostriatal projections across postnatal development. We synthesize analysis frameworks to define temporal patterns of axonal proteome and phosphoproteome, identifying co-regulated proteins and phosphorylations associated with genetic risk for human brain disorders. We discover proline-directed kinases as major developmental regulators. APEX2 transgenic reporter proximity labeling offers flexible strategies for subcellular proteomics with cell type specificity in early neurodevelopment, a critical period for neuropsychiatric disease.
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http://dx.doi.org/10.7554/eLife.78847 | DOI Listing |
Sci Rep
January 2025
Department of Laboratory Medicine and Pathology, University of Minnesota School of Medicine, 420 Delaware St SE, MMC 609, Minneapolis, MN, 55455, USA.
Within ovarian cancer research, patient-derived xenograft (PDX) models recapitulate histologic features and genomic aberrations found in original tumors. However, conflicting data from published studies have demonstrated significant transcriptional differences between PDXs and original tumors, challenging the fidelity of these models. We employed a quantitative mass spectrometry-based proteomic approach coupled with generation of patient-specific databases using RNA-seq data to investigate the proteogenomic landscape of serially-passaged PDX models established from two patients with distinct subtypes of ovarian cancer.
View Article and Find Full Text PDFCNS Neurosci Ther
January 2025
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Background: Epilepsy has a genetic predisposition, yet causal factors and the dynamics of the immune environment in epilepsy are not fully understood.
Methods: We analyzed peripheral blood samples from epilepsy patients, identifying key genes associated with epilepsy risk through Mendelian randomization, using eQTLGen and genome-wide association studies. The peripheral immune environment's composition in epilepsy was explored using CIBERSORT.
Vet Immunol Immunopathol
December 2024
Department of Biochemistry, Bahauddin Zakariya University, Multan 66000, Pakistan. Electronic address:
The Hendra virus (HeV) has resulted in epidemics of respiratory and neurological illnesses in animals. Humans have contracted diseases with high fatality rates as a result of infected domestic animals, but effective vaccinations and therapies are currently not available against HeV. Herein, we analyzed the proteome of HeV and constructed an effective and innovative multi-epitope vaccine using immunoinformatics techniques.
View Article and Find Full Text PDFForensic Sci Int Genet
December 2024
Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China. Electronic address:
DNA methylation at age-related CpG (AR-CpG) sites holds significant promise for forensic age estimation. However, somatic models perform poorly in semen due to unique methylation dynamics during spermatogenesis, and current studies are constrained by the limited coverage of methylation microarrays. This study aimed to identify novel semen-specific AR-CpG sites using double-enzyme reduced representation bisulfite sequencing (dRRBS) and validate these markers, alongside previously reported sites and neighboring CpGs, using bisulfite amplicon sequencing (BSAS) to develop robust age estimation models.
View Article and Find Full Text PDFJ Proteome Res
January 2025
Department of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States.
Proteo-SAFARI is a shiny application for fragment assignment by relative isotopes, an R-based software application designed for identification of protein fragment ions directly in the / domain. This program provides an open-source, user-friendly application for identification of fragment ions from a candidate protein sequence with support for custom covalent modifications and various visualizations of identified fragments. Additionally, Proteo-SAFARI includes a nonnegative least-squares fitting approach to determine the contributions of various hydrogen shifted fragment ions ( + 1, + 1, - 1, - 2) observed in UVPD mass spectra which exhibit overlapping isotopic distributions.
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