The Zic genes are the vertebrate homologues of the Drosophila Odd-paired gene. Mutations in two of these genes are associated with human congenital genetic disorders. Mutation of human and mouse Zic2 is associated with holoprosencephaly which is caused by a defect of ventral forebrain development and mutation of human and mouse Zic3 is associated with a X-linked heterotaxy syndrome that results from a failure of left-right axis formation. The embryological role of the Zic genes in these disorders is not well understood. Here we show that both of these genes are expressed prior to and throughout gastrulation. The genes show some broad similarities in their expression domains. Both genes however are also uniquely expressed in some tissues and these unique domains correlate with regions that potentially play a role in the aetiology of the respective genetic disorders. During primitive streak stages Zic2 is expressed transiently and uniquely in the node and the head process mesendoderm. The head process is known to be required for the establishment or maintenance of the ventral forebrain, which is the region disrupted in holoprosencephaly. Zic3 is not expressed in the node during primitive streak stages but is expressed in and around the node beginning from the head fold stages of development. This expression of Zic3 correlates well with the first steps in the establishment of the left-right axis. We also examined the expression of the closely related gene, Zic1, and did not detect any transcripts in gastrulation stage embryos.
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http://dx.doi.org/10.1016/j.modgep.2004.03.003 | DOI Listing |
Brief Bioinform
November 2024
Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Cangshan District, Fuzhou 350002, China.
Spatial transcriptomics (ST) technologies enable dissecting the tissue architecture in spatial context. To perceive the global contextual information of gene expression patterns in tissue, the spatial dependence of cells must be fully considered by integrating both local and non-local features by means of spatial-context-aware. However, the current ST integration algorithm ignores for ST dropouts, which impedes the spatial-aware of ST features, resulting in challenges in the accuracy and robustness of microenvironmental heterogeneity detecting, spatial domain clustering, and batch-effects correction.
View Article and Find Full Text PDFNucleotide sequence can be translated in three reading frames from 5' to 3' producing distinct protein products. Many examples of RNA translation in two reading frames (dual coding) have been identified so far. We report simultaneous translation of mRNA transcripts derived from locus in all three reading frames that result in the synthesis of long proteins.
View Article and Find Full Text PDFAs a key inflammatory factor, the nucleotide-binding oligomerization domain (NOD)-like receptor protein 3 (NLRP3) inflammasome plays a crucial role in neuroinflammation and the progression of neurodegenerative diseases. Dysregulation of NLRP3 signaling can trigger various inflammatory responses in the brain, contributing to the development of neurodegenerative diseases such as ischemic stroke, vascular dementia (VaD), Alzheimer's disease (AD), Parkinson's disease (PD), and amyotrophic lateral sclerosis (ALS). Therefore, the NLRP3 signaling pathway is a promising therapeutic target for the treatment of neurodegenerative diseases, including VaD.
View Article and Find Full Text PDFThe 1.7 kb DRAIC long noncoding RNA inhibits tumor growth, inhibits cancer cell invasion, migration, colony formation and interacts with IKK (IκB kinase) subunits, inhibiting the phosphorylation and degradation of the NF-κB inhibitor, IκB, to suppress the activation of NF-κB. Whether these activities are all linked is unclear.
View Article and Find Full Text PDFIn this paper, we attempt to answer two questions: 1) which regions of the human brain, in terms of morphometry, are most strongly related to individual differences in domain-general cognitive functioning ( )? and 2) what are the underlying neurobiological properties of those regions? We meta-analyse vertex-wise -cortical morphometry (volume, surface area, thickness, curvature and sulcal depth) associations using data from 3 cohorts: the UK Biobank (UKB), Generation Scotland (GenScot), and the Lothian Birth Cohort 1936 (LBC1936), with the meta-analytic = 38,379 (age range = 44 to 84 years old). These morphometry associations vary in magnitude and direction across the cortex (|β| range = -0.12 to 0.
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