Ask about this productRelated genes to: ABHD13 antibody
- Gene:
- ABHD13 NIH gene
- Name:
- abhydrolase domain containing 13
- Previous symbol:
- C13orf6
- Synonyms:
- bA153I24.2, FLJ14906, BEM46L1
- Chromosome:
- 13q33.3
- Locus Type:
- gene with protein product
- Date approved:
- 2004-04-16
- Date modifiied:
- 2018-05-03
Related products to: ABHD13 antibody
Related articles to: ABHD13 antibody
- De-S-acylation enzymes mediate the reversible S-acylation cycle and play critical roles in plant development and stress responses. However, the precise origin and evolutionary dynamics of this gene family in plants remain poorly understood. In this study, a total of 718 genes were identified across 73 plant genomes, including 622 and 96 homologs, which share only a 20-30% conserved sequence identity between them. We further performed comprehensive analyses of gene duplication and structure, protein properties, synteny networks, and expression profiles to establish a systematic framework by classifying genes in land plants. Our results revealed that genes have been retained as a single copy in most angiosperm genomes, whereas genes have undergone extensive expansion. genes formed three major evolutionary clades: Clade 1 contained homologs, while Clades 2 and 3 harbored homologs. The three clades showed distinct disparities in intron-exon structural patterns and IDR properties. Phylogenomic synteny network analyses revealed the deeply conserved genomic syntenies within each of the six subclades among the three clades, while Cluster4-Monocot was more dynamic and showed distinct lineage-specific duplication patterns restricted to Poaceae. exhibited constitutive expression patterns, while the tissue-specific expression genes were predominantly found within the subfamily. Notably, the subgroups were specifically expressed in reproductive organs, and the weighted gene co-expression network identified specific groups to find -specific regulatory features, implying the presence of potential modules for the protein S-acylation cycle during pollen development. Additionally, our results suggested that C-terminal Cys-rich region was required for ABAPT10 localization. Altogether, this study sheds light on the evolutionary divergence of the subclades across major green plant lineages and emphasizes the need for future functional characterizations. - Source: PubMed
Publication date: 2026/04/21
Song HuanLi WeiweiXue HongZhang MingmingZhang WeiweiChen AoyuWang LeiDong QuanzhongZhang Meng - Amyotrophic lateral sclerosis (ALS), commonly known as Lou Gehrig's disease, is a debilitating neurodegenerative disorder characterized by the progressive degeneration of nerve cells in the brain and spinal cord. Despite extensive research, its precise etiology remains elusive, and early diagnosis is challenging due to the absence of specific tests. This study aimed to identify potential blood-based biomarkers for early ALS detection and monitoring using datasets from whole blood samples (GSE112680) and oligodendrocytes, astrocytes, and fibroblasts (GSE87385) obtained from the NCBI-GEO repository. Through bioinformatics analysis, including protein-protein interactions and molecular pathway analyses, we identified differentially expressed genes (DEGs) associated with ALS. Notably, ALS2, ADH7, ALDH8A1, ALDH3B1, ABHD2, ABHD17B, ABHD12, ABHD13, PGAM2, AURKB, ANAPC11, VAPA, UNC45B, and TNNT2 emerged as top-ranked DEGs, implicated in drug metabolism, protein depalmytilation, and the AKT/mTOR signaling pathways. Among these, AurKB established as a potential therapeutic biomarker with relevance to various neurological conditions. Consequently, AurKB was selected for identifying potential therapeutic molecules and utilized for in silico structural characterization studies. Exploration of the IMPATT database led to the discovery of a lead compound similar to Fostamatinib, currently used for AurKB. Initial molecular docking and MMGBSA-based binding energy analysis were followed by molecular dynamics simulation (MDS) and free energy landscape (FEL) analysis to validate the ligand's binding efficacy and understand dynamic processes within the biological system. The identified potential biomarkers and lead molecule provide novel insights into the correlation between blood cell transcripts and ALS pathology, paving the way for blood-based diagnostic tools for early ALS detection and ongoing disease monitoring. - Source: PubMed
Publication date: 2024/09/12
Eshak DeboralArumugam Mohanapriya - Alzheimer disease (AD) is the most common form of senile dementia, with high incidence late in life in many populations including Caribbean Hispanic (CH) populations. Such admixed populations, descended from more than one ancestral population, can present challenges for genetic studies, including limited sample sizes and unique analytical constraints. Therefore, CH populations and other admixed populations have not been well represented in studies of AD, and much of the genetic variation contributing to AD risk in these populations remains unknown. Here, we conduct genome-wide analysis of AD in multiplex CH families from the Alzheimer Disease Sequencing Project (ADSP). We developed, validated, and applied an implementation of a logistic mixed model for admixture mapping with binary traits that leverages genetic ancestry to identify ancestry-of-origin loci contributing to AD. We identified three loci on chromosome 13q33.3 associated with reduced risk of AD, where associations were driven by Native American (NAM) ancestry. This AD admixture mapping signal spans the , , , and genes and was supported by evidence for association in an independent sample from the Alzheimer's Genetics in Argentina-Alzheimer Argentina consortium (AGA-ALZAR) study with considerable NAM ancestry. We also provide evidence of NAM haplotypes and key variants within 13q33.3 that segregate with AD in the ADSP whole-genome sequencing data. Interestingly, the widely used genome-wide association study approach failed to identify associations in this region. Our findings underscore the potential of leveraging genetic ancestry diversity in recently admixed populations to improve genetic mapping, in this case for AD-relevant loci. - Source: PubMed
Publication date: 2023/05/20
Horimoto Andrea R V RBoyken Lisa ABlue Elizabeth EGrinde Kelsey ENafikov Rafael ASohi Harkirat KNato Alejandro QBis Joshua CBrusco Luis IMorelli LauraRamirez AlfredoDalmasso Maria CarolinaTemple SethSatizabal ClaudiaBrowning Sharon RSeshadri SudhaWijsman Ellen MThornton Timothy A - High myopia (HM), an eye disorder with at least -6.0 diopters refractive error, has a complex etiology with environmental, genetic, and likely epigenetic factors involved. To complement the DNA methylation assessment in children with HM, we analyzed genes that had significantly lower DNA methylation levels. - Source: PubMed
Swierkowska JoannaKarolak Justyna AVishweswaraiah SangeethaMrugacz MalgorzataRadhakrishna UppalaGajecka Marzena - Identifying the genetic determinants of pain is a scientific imperative given the magnitude of the global health burden that pain causes. Here, we report a genetic screen for nociception, performed under the auspices of the International Mouse Phenotyping Consortium. A biased set of 110 single-gene knockout mouse strains was screened for 1 or more nociception and hypersensitivity assays, including chemical nociception (formalin) and mechanical and thermal nociception (von Frey filaments and Hargreaves tests, respectively), with or without an inflammatory agent (complete Freund's adjuvant). We identified 13 single-gene knockout strains with altered nocifensive behavior in 1 or more assays. All these novel mouse models are openly available to the scientific community to study gene function. Two of the 13 genes (Gria1 and Htr3a) have been previously reported with nociception-related phenotypes in genetically engineered mouse strains and represent useful benchmarking standards. One of the 13 genes (Cnrip1) is known from human studies to play a role in pain modulation and the knockout mouse reported herein can be used to explore this function further. The remaining 10 genes (Abhd13, Alg6, BC048562, Cgnl1, Cp, Mmp16, Oxa1l, Tecpr2, Trim14, and Trim2) reveal novel pathways involved in nociception and may provide new knowledge to better understand genetic mechanisms of inflammatory pain and to serve as models for therapeutic target validation and drug development. - Source: PubMed
Publication date: 2021/09/13
Wotton Janine MPeterson EmmaFlenniken Ann MBains Rasneer SVeeraragavan SurabiBower Lynette RBubier Jason AParisien MarcBezginov AlexandrHaselimashhadi HamedMason JeremyMoore Michayla AStewart Michelle EClary Dave ADelbarre Daniel JAnderson Laura CD'Souza AbigailGoodwin Leslie OHarrison Mark EHuang ZiyueMckay MatthewQu DaweiSantos LuisSrinivasan SubhikshaUrban RachelVukobradovic IgorWard Christopher SWillett Amelia MBraun Robert EBrown Steve D MDickinson Mary EHeaney Jason DKumar VivekLloyd K C KentMallon Ann-MarieMcKerlie ColinMurray Stephen ANutter Lauryl M JParkinson HelenSeavitt John RWells SaraSamaco Rodney CChesler Elissa JSmedley DamianDiatchenko LudaBaumbauer Kyle MYoung Erin EBonin Robert PMandillo SilviaWhite Jacqueline K