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1.
Arch Oral Biol ; 164: 106003, 2024 Aug.
Article in English | MEDLINE | ID: mdl-38781741

ABSTRACT

OBJECTIVE: This study aimed to investigate the expression of serine protease inhibitor kazal type 1 (SPINK1) and its carcinogenic effect in oral tongue squamous cell carcinoma (OTSCC). DESIGN: Initially, bioinformatics analysis was conducted using data from The Cancer Genome Atlas and Gene Expression Omnibus to compare SPINK1 mRNA expression between malignant and adjacent tissues. Subsequently, the impact of differential expression on survival and other clinical variables was examined. Additionally, histology microarray analysis was performed to assess SPINK1 protein expression in 35 cases of malignant and adjacent tissues. Finally, alterations in SPINK1 expression were evaluated to determine its biological phenotypes in OTSCC, including proliferation, apoptosis, invasion, and metastasis. RESULTS: OTSCC tissues exhibit higher levels of SPINK1 compared to surrounding cancerous tissues. Notably, increased SPINK1 expression correlates with the pathological N stage and independently predicts overall survival among patients with OTSCC. CONCLUSION: Suppression of SPINK1 inhibited OTSCC cell proliferation, invasion, and motility while promoting apoptosis. These findings suggest that SPINK1 may serve as a prognostic biomarker as well as a potential therapeutic target for managing OTSCC.


Subject(s)
Apoptosis , Biomarkers, Tumor , Carcinoma, Squamous Cell , Cell Proliferation , Disease Progression , Neoplasm Invasiveness , Tongue Neoplasms , Trypsin Inhibitor, Kazal Pancreatic , Humans , Tongue Neoplasms/pathology , Tongue Neoplasms/genetics , Tongue Neoplasms/metabolism , Trypsin Inhibitor, Kazal Pancreatic/genetics , Prognosis , Male , Female , Carcinoma, Squamous Cell/genetics , Carcinoma, Squamous Cell/pathology , Carcinoma, Squamous Cell/metabolism , Middle Aged , Apoptosis/genetics , Biomarkers, Tumor/metabolism , Biomarkers, Tumor/genetics , Cell Movement/genetics , RNA, Messenger/metabolism , RNA, Messenger/genetics , Cell Line, Tumor , Computational Biology
2.
Mol Ecol Resour ; 21(6): 2034-2049, 2021 Aug.
Article in English | MEDLINE | ID: mdl-33738922

ABSTRACT

The tea geometrid is a destructive insect pest on tea plants, which seriously affects tea production in terms of both yield and quality and causes severe economic losses. The tea geometrid also provides an important study system to address the ecological adaptive mechanisms underlying its unique host plant adaptation and protective resemblance. In this study, we fully sequenced and de novo assembled the reference genome of the tea geometrid, Ectropis grisescens, using long sequencing reads. We presented a highly continuous, near-complete genome reference (787.4 Mb; scaffold N50: 26.9 Mb), along with the annotation of 18,746 protein-coding genes and 53.3% repeat contents. Importantly, we successfully placed 97.8% of the assembly in 31 chromosomes based on Hi-C interactions and characterized the sex chromosome based on sex-biased sequencing coverage. Multiple quality-control assays and chromosome-scale synteny with the model species all supported the high quality of the presented genome reference. We focused biological annotations on gene families related to the host plant adaptation and camouflage in the tea geometrid and performed comparisons with other representative lepidopteran species. Important findings include the E. grisescens-specific expansion of CYP6 P450 genes that might be involved in metabolism of tea defensive chemicals and unexpected massive expansion of gustatory receptor gene families that suggests potential polyphagy for this tea pest. Furthermore, we developed an efficient genome editing system based on CRISPR/Cas9 technology and successfully implement mutagenesis of a Hox gene in the tea geometrid. Our study provides key genomic resources both for exploring unique mechanisms underlying the ecological adaptation of tea geometrids and for developing environment-friendly strategies for tea pest management.


Subject(s)
Gene Editing , Genome, Insect , Insecta/genetics , Adaptation, Physiological , Animals , CRISPR-Cas Systems , Chromosomes, Insect
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