1.Modulation of Tooth Eruption – An Understanding at the Molecular and Biochemical Level
Sivakumar Arunachalam ; Indumathi Sivakumar ; Jitendra Sharan ; Sabarinath Prasad
International e-Journal of Science, Medicine and Education 2025;19(1):54-62
Tooth eruption is a localised event whereby the signals for eruption for a given tooth are synthesised in the dental follicle of that tooth with a possible cross talk of signals coming from the adjacent stellate reticulum. The eruption process requires alveolar bone resorption that is primarily regulated by the dental follicle. This is reflected by the fact that failures of eruption often can be traced to either osteoclast deficiencies or to dental follicle abnormalities. Recent advances in application of molecular techniques to animal models allowed for better understanding of gene regulatory events involved in the physiology of tooth eruption. This article attempts to consolidate and organise the facts that offshoot from animal studies.
Tooth Eruption
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Dental Sac
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Molecular Biology
3.Identification and expression analysis of the YABBY gene family in strawberry.
Tingting YU ; Shurong SHEN ; Yiling XU ; Xinyu WANG ; Yao YU ; Bojun MA ; Xifeng CHEN
Chinese Journal of Biotechnology 2024;40(1):104-121
YABBY proteins are important transcription factors that regulate morphogenesis and organ development in plants. In order to study the YABBY of strawberry, bioinformatic technique were used to identify the YABBY gene families in Fragaria vesca (diploid) and Fragaria×ananassa (octoploid), and then analyze the sequence characters, phylogeny and collinearity of the family members. The RNA-seq data and the quantitative reverse transcription-polymerase chain reaction (qRT-PCR) technique were used to assay the expression patterns of the family members. A green fluorescent protein (GFP) was fused with FvYABBYs and transiently expressed in tobacco leaf cells for the subcellular localization. As the results, six FvYABBY genes and 26 FxaYABBY genes were identified from F. vesca and F.×ananassa, respectively. The FvYABBY genes were grouped into five clades, and five family members were orthologous with AtYABBY genes of Arabidopsis. In F. vesca, all of the FvYABBYs were basically not expressed not expressed in root and receptacle, while FvYABBY1, FvYABBY2, FvYABBY5 and FvYABBY6 were highly expressed in leaf, shoot, flower and achene. In F.×ananassa, FxaYABBY1, FxaYABBY2, FxaYABBY5 and FxaYABBY6 were expressed in achene, and all FxaYABBY were poorly or not expressed in receptacle. Additionally, under the abiotic stresses of low temperature, high salt and drought, the expression of FvYABBY1, FvYABBY3, FvYABBY4 and FvYABBY6 were down-regulated, FvYABBY5 was up-regulated, and FvYABBY2 was up-regulated and then down-regulated. In tobacco leaf cells, the subcellular localization of FvYABBY proteins were in the nucleus. These results provides a foundation for the functional researches of YABBY gene in strawberry.
Fragaria/genetics*
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Arabidopsis
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Biological Assay
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Cold Temperature
;
Computational Biology
4.Development and reform of the curriculum of engineering ethics education in biology and medicine under the background of "new engineering".
Guofeng LI ; Lei WANG ; Xing WANG ; Changyuan YU
Chinese Journal of Biotechnology 2023;39(4):1838-1850
The "new engineering" concept requires that in addition to laying a solid professional foundation, engineering colleges and universities in China should also pay attention to improving the humanistic quality and developing a professional ethics education in training the engineering and technical talents. One important way is to carry out the engineering ethics education. By referring to the mature case-teaching ideas around the world and combining the practical experience accumulated in recent years, this paper focuses on the curriculum development and teaching reform of engineering ethics for students studying biological and medical engineering, from the perspectives of case selection and teaching method innovation. It also introduces some typical case studies, and summarizes the teaching effect analyzed from questionnaire.
Humans
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Curriculum
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Engineering/education*
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Students
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Ethics, Professional
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Biology/education*
5.Preface for special issue on chemical bioproduction.
Chinese Journal of Biotechnology 2023;39(6):2101-2107
Engineering efficient enzymes or microbial cell factories should help to establish green bio-manufacturing process for chemical overproduction. The rapid advances and development in synthetic biology, systems biology and enzymatic engineering accerleate the establishing feasbile bioprocess for chemical biosynthesis, including expanding the chemical kingdom and improving the productivity. To consolidate the latest advances in chemical biosynthesis and promote green bio-manufaturing, we organized a special issue on chemical bioproduction that including review or original research papers about enzymatic biosynthesis, cell factory, one-carbon based biorefinery and feasible strategies. These papers comprehensively discussed the latest advaces, the challenges as well as the possible solutions in chemical biomanufacturing.
Synthetic Biology
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Carbon
;
Metabolic Engineering
6.Advances in machine learning for predicting protein functions.
Yanfei CHI ; Chun LI ; Xudong FENG
Chinese Journal of Biotechnology 2023;39(6):2141-2157
Proteins play a variety of functional roles in cellular activities and are indispensable for life. Understanding the functions of proteins is crucial in many fields such as medicine and drug development. In addition, the application of enzymes in green synthesis has been of great interest, but the high cost of obtaining specific functional enzymes as well as the variety of enzyme types and functions hamper their application. At present, the specific functions of proteins are mainly determined through tedious and time-consuming experimental characterization. With the rapid development of bioinformatics and sequencing technologies, the number of protein sequences that have been sequenced is much larger than those can be annotated, thus developing efficient methods for predicting protein functions becomes crucial. With the rapid development of computer technology, data-driven machine learning methods have become a promising solution to these challenges. This review provides an overview of protein function and its annotation methods as well as the development history and operation process of machine learning. In combination with the application of machine learning in the field of enzyme function prediction, we present an outlook on the future direction of efficient artificial intelligence-assisted protein function research.
Artificial Intelligence
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Machine Learning
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Proteins/genetics*
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Computational Biology/methods*
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Drug Development
7.Fermentative production of tetraacetyl phytosphingosine: a review.
Liuwei CUI ; Kaifeng WANG ; Xiaojun JI
Chinese Journal of Biotechnology 2023;39(6):2204-2214
Tetraacetyl phytosphingosine (TAPS) is an excellent raw material for natural skin care products. Its deacetylation leads to the production of phytosphingosine, which can be further used for synthesizing the moisturizing skin care product ceramide. For this reason, TAPS is widely used in the skin care oriented cosmetics industry. The unconventional yeast Wickerhamomyces ciferrii is the only known microorganism that can naturally secrete TAPS, and it has become the host for the industrial production of TAPS. This review firstly introduces the discovery, functions of TAPS, and the metabolic pathway for TAPS biosynthesis is further introduced. Subsequently, the strategies for increasing the TAPS yield of W. ciferrii, including haploid screening, mutagenesis breeding and metabolic engineering, are summarized. In addition, the prospects of TAPS biomanufacturing by W. ciferrii are discussed in light of the current progresses, challenges, and trends in this field. Finally, guidelines for engineering W. ciferrii cell factory using synthetic biology tools for TAPS production are also presented.
Sphingosine
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Ceramides
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Metabolic Engineering
;
Synthetic Biology
8.Advances on the microbial synthesis of plant-derived diterpenoids.
Yatian CHENG ; Hao TANG ; Lili SUN ; Yating HU ; Ying MA ; Juan GUO ; Luqi HUANG
Chinese Journal of Biotechnology 2023;39(6):2265-2283
Natural plant-derived diterpenoids are a class of compounds with diverse structures and functions. These compounds are widely used in pharmaceuticals, cosmetics and food additives industries because of their pharmacological properties such as anticancer, anti-inflammatory and antibacterial activities. In recent years, with the gradual discovery of functional genes in the biosynthetic pathway of plant-derived diterpenoids and the development of synthetic biotechnology, great efforts have been made to construct a variety of diterpenoid microbial cell factories through metabolic engineering and synthetic biology, resulting in gram-level production of many compounds. This article summarizes the construction of plant-derived diterpenoid microbial cell factories through synthetic biotechnology, followed by introducing the metabolic engineering strategies applied to improve plant-derived diterpenoids production, with the aim to provide a reference for the construction of high-yield plant-derived diterpenoid microbial cell factories and the industrial production of diterpenoids.
Diterpenes/metabolism*
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Biotechnology
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Metabolic Engineering
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Biosynthetic Pathways/genetics*
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Plants/genetics*
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Synthetic Biology
9.Engineering microbial consortia through synthetic biology approach.
Jiao ZHANG ; Jiangfeng CHEN ; Yixuan CHEN ; Lei DAI ; Zhuojun DAI
Chinese Journal of Biotechnology 2023;39(5):2517-2545
There are a large number of natural microbial communities in nature. Different populations inside the consortia expand the performance boundary of a single microbial population through communication and division of labor, reducing the overall metabolic burden and increasing the environmental adaptability. Based on engineering principles, synthetic biology designs or modifies basic functional components, gene circuits, and chassis cells to purposefully reprogram the operational processes of the living cells, achieving rich and controllable biological functions. Introducing this engineering design principle to obtain structurally well-defined synthetic microbial communities can provide ideas for theoretical studies and shed light on versatile applications. This review discussed recent progresses on synthetic microbial consortia with regard to design principles, construction methods and applications, and prospected future perspectives.
Microbial Consortia/genetics*
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Synthetic Biology
;
Microbiota
;
Models, Theoretical
10.Significance of high expression of C5orf46 in gastric cancer and potential intervention of tarditional Chinese medicine based on bioinformatics, molecular docking, and cell experiments.
Ying-Jia ZHOU ; Jia-Ming LIU ; Bin LIU ; Zi-Xia WANG ; Xin-Yu FAN ; Pei-Zhen HUANG ; Yu-Xin HUANG ; Jing-Ning SUN ; Qi-Qi CHEN ; Hong-Mei SHEN
China Journal of Chinese Materia Medica 2023;48(9):2368-2378
This study aims to investigate the expression, prognosis, and clinical significance of C5orf46 in gastric cancer and to study the interaction between the active components of C5orf46 and tarditional Chinese medicine. The ggplot2 package was utilized for differential expression analysis of C5orf46 in gastric cancer tissues and normal tissues. The survival package was used for survival analysis, univariate regression analysis, and multivariate regression analysis. Nomogram analysis was used to assess the connection between C5orf46 expression in gastric cancer and overall survival. The abundance of tumor-infiltrating lymphocytes was calculated by GSVA package. Coremine database, Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) database, and PubChem database were used to search the potential components corresponding to C5orf46 gene and tarditional Chinese medicine. Molecular docking was performed to explore the binding affinity of potential components to C5orf46. Cell experiments were performed to explore the expression of C5orf46 gene in cells of the blank group, model group, and drug administration groups. As compared with normal tissues, C5orf46 expression was higher in gastric cancer tissues, which had more significant predictive effects in the early stages(T2, N0, and M0). The more advanced the tumor node metastasis(TNM) stage, the higher the C5orf46 expression and the lower the probability of survival of patients with gastric cancer. The expression of C5orf46 positively correlated with the helper T cells1 in gastric cancer and the macrophage infiltration level in gastric cancer, and negatively correlated with B cells, central memory T cells, helper T cells 17, and follicular helper T cells. Seven potential components of C5orf46 were obtained, and three active components were obtained after the screening, which matched five tarditional Chinese medicines, namely, Sojae Semen Nigrum, Jujubae Fructus, Trichosanthis Fructus, Silybi Fructus, and Bambusae Concretio Silicea. Molecular docking revealed that sialic acid and adeno-sine monophosphate(AMP) had a good binding ability to C5orf46. The results of real-time quantitative polymerase chain reaction(RT-qPCR) and Western blot showed that, as compared with the model group, the mRNA and protein expression levels of C5orf46 were significantly lower in the drug administration groups. The lowest expression level was found at the concentration of 40 μmol·L~(-1). The results of this study provide ideas for the clinical development of traditional Chinese medicine compounds for the treatment of gastric cancer as well as other cancers.
Humans
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Stomach Neoplasms/metabolism*
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Medicine, Chinese Traditional
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Molecular Docking Simulation
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Prognosis
;
Computational Biology


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