A Patient-Gene Model for Temporal Expression Profiles in Clinical Studies

2007 ◽  
Vol 14 (3) ◽  
pp. 324-338 ◽  
Author(s):  
Naftali Kaminski ◽  
Ziv Bar-Joseph
Author(s):  
Aqeel Hussein Abdulraoof Almatwari ◽  
Mohammadreza Hassandokht ◽  
Frouzandeh Soltani ◽  
Amir Mirzadi Gohari ◽  
Mohammad Javan-Nikkhah

Pteridines ◽  
2021 ◽  
Vol 32 (1) ◽  
pp. 117-125
Author(s):  
Xiao Chen ◽  
Weiran Zhang ◽  
Jingmin Huang

Abstract Objective To evaluate the correlation between methylene tetrahydrofolate reductase (MTHFR) gene rs1801133 C>T polymorphisms and risk of osteoporosis. Methods We searched the clinical studies related to MTHFR gene rs1801133 C>T polymorphisms and risk of osteoporosis in the electronic databases of PubMed, Web of Science, EMBASE, China National Knowledge Infrastructure (CNKI), Chinese BioMedical Literature Database (CBM) and included the suitable publications in the present meta-analysis according to the inclusion and exclusion criteria. The data of included studies were extracted and pooled by a random or fixed-effect model. The odds ratio (OR) and 95% confidence interval (95% CI) were applied to demonstrate the correlation between MTHFR gene rs1801133 C>T polymorphisms and the risk of osteoporosis. Publication bias was assessed by Begg’s funnel plot and Egger’s line regression test. Results Seven case–control clinical studies were included and a data combination was made. The data was pooled by the fixed effect model because of no obvious statistical heterogeneity. The pooled results indicated that people with the T allele had increased risk of developing osteoporosis under the homologous gene model (TT vs CC) (OR = 2.36, 95% CI: 1.81–3.08, p < 0.05), dominant gene model (TT + CT) vs CC (OR = 1.47, 95% CI: 1.21–1.77, p < 0.05) and recessive gene model TT vs (CC + CT) (OR = 2.16, 95% CI: 1.71–2.74, p < 0.05). Egger’s line regression test indicated no significant publication bias for the present meta-analysis in the above homologous, dominant, and recessive gene models. Conclusion The MTHFR gene rs1801133 C>T polymorphisms are associated with osteoporosis and subjects with the T allele have an increased risk of developing osteoporosis.


2020 ◽  
Vol 11 ◽  
Author(s):  
Xiao-Long Liu ◽  
Wei-Kang Han ◽  
Long-Ji Ze ◽  
Ying-Chuan Peng ◽  
Yi-Lin Yang ◽  
...  

Yellow genes are thought to be involved in the melanin biosynthetic pathway and play a crucial role in pigmentation reactions in insects. However, little research has been done on yellow genes in lepidopteran pests. To clarify the function of one of the yellow genes (yellow-y) in Spodoptera litura, we cloned the full-length of yellow-y, and investigated its spatial and temporal expression profiles by quantitative real-time PCR (qPCR). It revealed that yellow-y was highly expressed in larva of fourth, fifth, and sixth instars, as well as in epidermis (Ep), fat bodies (FB), Malpighian tubes (MT), and midguts (MG) of the larvae; whereas it was expressed in very low levels in different tissues of adults, and was almost undetected in pupa. This expression profile suggests an important role of yellow-y in larvae, minor role in adults, and no role in pupae. To confirm this, we disrupted yellow-y using the clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) system, and obtained G0 insects with mutation in yellow-y. The mutation in yellow-y clearly rendered the larvae body, a color yellower than that of wide type insects, and in addition, the mutation resulted in abnormal segmentation and molting for older larvae. The mutation of yellow-y also made various adult tissues (antennae, proboscis, legs, and wings) yellowish. However, the mutation had no effect on pigmentation of the pupal cuticle. Taken together, our study clearly demonstrated the role of yellow-y not only in the body pigmentation of larvae and adults, and but also in segmentation and molting of larvae, providing new insights into the physiology of larval development, as well as a useful marker gene for genome editing based studies.


2019 ◽  
Vol 27 (5) ◽  
pp. 998-1018 ◽  
Author(s):  
Olga Volovych ◽  
Zhe Lin ◽  
Jie Du ◽  
Hong Jiang ◽  
Zhen Zou

2008 ◽  
Vol 9 (1) ◽  
pp. 147 ◽  
Author(s):  
Ling Wang ◽  
Monty Montano ◽  
Matt Rarick ◽  
Paola Sebastiani

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Yichong Zhang ◽  
Yuanbo Zhan ◽  
Na Han ◽  
Yuhui Kou ◽  
Xiaofeng Yin ◽  
...  

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