Data Science Commons^™

Accelerate Innovation Of Forage Intelligent Breeding Technology: Reflection And Suggestions, Haichun Jing, Weijuan Hu, Jingbo Jin, Jingyu Zhang, Yao Zhou, Yue Gong, Gang Yao, Lei Wang, Kang Chong

Bulletin of Chinese Academy of Sciences (Chinese Version)

The world is facing unprecedented changes today, with continuous population growth intensifying the pressure on food demand. The shift towards diversified dietary structures has increased the demand for feed grains, while climate change further threatens China’s food security by affecting agricultural productivity and carbon sequestration economy. At present, China has entered a new era of food supply and feed. As the food supply for animals, forage is the core component of feed, and its industrial development has profound strategic significance for ensuring national food security. This study analyzes the current situation of China’s forage seed industry, summarizes the cutting-edge achievements …

Rapid Soil Detection Technology Aids In Assessing Soil Nutrients In China, Wei Wu, Xiaoyong Liao, Xiaopeng Li, Yuntao Wu, Huixian Lu, Yucheng Zhang, Jiabao Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Soil quality is the core issue for ensuring China’s food security, and soil health is the top priority of soil quality. Comprehensive, rapid and accurate acquisition of soil background data is the prerequisite for achieving homogeneous soil management and formulating balanced fertilization strategies, which will play a key role in improving non-point source pollution caused by unreasonable fertilization and achieving balanced grain yield increase. This study reviews rapid soil testing methods both domestically and internationally. Based on previous research, it proposes a technical approach to rapidly detect soil nutrient concentrations by calculating the gamma quanta released during the decay of …

Artificial Intelligence Innovation For Smart Plant Factory To Diversify Its Big Food Production Functions, Huaqin Gong, Haichun Jing, Xin Tan, Xianhui Wang, Yucheng Zhang, Rongcheng Lin, Mingyu Yang, Shuang Lin, Hualing Xie, Yanping Yang, Shitang Ye, Peng Li, Tingyun Kuang

Bulletin of Chinese Academy of Sciences (Chinese Version)

China’s food security is facing more and more severe and complex challenges, such as tight balance between food demand and supply, the upgrading of consumption structure, and resource constraints. The plant factory is an advanced scenario in agricultural production, a diversified food production system that gets rid of the constraints of “ask for food from the mother nature” and respond to disasters and wars, and is oriented to space. Nevertheless, the high cost greatly limits the application and development of plant factories. The rapid development of artificial intelligence will bring new opportunities for the innovative development and expansion of plant …

Mortality Outcomes In A Large Population With And Without Covert Cerebrovascular Disease, Úna Clancy, Eric J Puttock, Wansu Chen, William Whiteley, Ellen M Vickery, Lester Y Leung, Patrick H Luetmer, David F Kallmes, Sunyang Fu, Chengyi Zheng, Hongfang Liu, David M Kent

Faculty, Staff and Student Publications

Covert cerebrovascular disease (CCD) is frequently reported on neuroimaging and associates with increased dementia and stroke risk. We aimed to determine how incidentally-discovered CCD during clinical neuroimaging in a large population associates with mortality. We screened CT and MRI reports of adults aged ≥50 in the Kaiser Permanente Southern California health system who underwent neuroimaging for a non-stroke clinical indication from 2009-2019. Natural language processing identified incidental covert brain infarcts (CBI) and/or white matter hyperintensities (WMH), grading WMH as mild/moderate/severe. Models adjusted for age, sex, ethnicity, multimorbidity, vascular risks, depression, exercise, and imaging modality. Of n=241,028, the mean age was …

Cancergpt For Few Shot Drug Pair Synergy Prediction Using Large Pretrained Language Models, Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding, Yejin Kim

Faculty, Staff and Student Publications

Large language models (LLMs) have been shown to have significant potential in few-shot learning across various fields, even with minimal training data. However, their ability to generalize to unseen tasks in more complex fields, such as biology and medicine has yet to be fully evaluated. LLMs can offer a promising alternative approach for biological inference, particularly in cases where structured data and sample size are limited, by extracting prior knowledge from text corpora. Here we report our proposed few-shot learning approach, which uses LLMs to predict the synergy of drug pairs in rare tissues that lack structured data and features. …

Strategies To Combine 3d Vasculature And Brain Cta With Deep Neural Networks: Application To Lvo, Uma M Lal-Trehan Estrada, Arnau Oliver, Sunil A Sheth, Xavier Lladó, Luca Giancardo

Faculty, Staff and Student Publications

Automated tools to detect large vessel occlusion (LVO) in acute ischemic stroke patients using brain computed tomography angiography (CTA) have been shown to reduce the time for treatment, leading to better clinical outcomes. There is a lot of information in a single CTA and deep learning models do not have an obvious way of being conditioned on areas most relevant for LVO detection, i.e., the vasculature structure. In this work, we compare and contrast strategies to make convolutional neural networks focus on the vasculature without discarding context information of the brain parenchyma and propose an attention-inspired strategy to encourage this. …

Generalizable Pipeline For Constructing Hiv Risk Prediction Models Across Electronic Health Record Systems, Sarah B May, Thomas P Giordano, Assaf Gottlieb

Faculty, Staff and Student Publications

OBJECTIVE: The HIV epidemic remains a significant public health issue in the United States. HIV risk prediction models could be beneficial for reducing HIV transmission by helping clinicians identify patients at high risk for infection and refer them for testing. This would facilitate initiation on treatment for those unaware of their status and pre-exposure prophylaxis for those uninfected but at high risk. Existing HIV risk prediction algorithms rely on manual construction of features and are limited in their application across diverse electronic health record systems. Furthermore, the accuracy of these models in predicting HIV in females has thus far been …

The Il6/Jak/Stat3 Signaling Axis Is A Therapeutic Vulnerability In Smarcb1-Deficient Bladder Cancer, Chandra Sekhar Amara, Karthik Reddy Kami Reddy, Yang Yuntao, Yuen San Chan, Danthasinghe Waduge Badrajee Piyarathna, Lacey Elizabeth Dobrolecki, David J H Shih, Zhongcheng Shi, Jun Xu, Shixia Huang, Matthew J Ellis, Andrea B Apolo, Leomar Y Ballester, Jianjun Gao, Donna E Hansel, Yair Lotan, H Courtney Hodges, Seth P Lerner, Chad J Creighton, Arun Sreekumar, W Jim Zheng, Pavlos Msaouel, Shyam M Kavuri, Nagireddy Putluri

Faculty, Staff and Student Publications

SMARCB1 loss has long been observed in many solid tumors. However, there is a need to elucidate targetable pathways driving growth and metastasis in SMARCB1-deficient tumors. Here, we demonstrate that SMARCB1 deficiency, defined as genomic SMARCB1 copy number loss associated with reduced mRNA, drives disease progression in patients with bladder cancer by engaging STAT3. SMARCB1 loss increases the chromatin accessibility of the STAT3 locus in vitro. Orthotopically implanted SMARCB1 knockout (KO) cell lines exhibit increased tumor growth and metastasis. SMARCB1-deficient tumors show an increased IL6/JAK/STAT3 signaling axis in in vivo models and patients. Furthermore, a pSTAT3 selective inhibitor, TTI-101, reduces …

Sox On Tumors, A Comfort Or A Constraint?, Junqing Jiang, Yufei Wang, Mengyu Sun, Xiangyuan Luo, Zerui Zhang, Yijun Wang, Siwen Li, Dian Hu, Jiaqian Zhang, Zhangfan Wu, Xiaoping Chen, Bixiang Zhang, Xiao Xu, Shuai Wang, Shengjun Xu, Wenjie Huang, Limin Xia

Faculty, Staff and Student Publications

The sex-determining region Y (SRY)-related high-mobility group (HMG) box (SOX) family, composed of 20 transcription factors, is a conserved family with a highly homologous HMG domain. Due to their crucial role in determining cell fate, the dysregulation of SOX family members is closely associated with tumorigenesis, including tumor invasion, metastasis, proliferation, apoptosis, epithelial-mesenchymal transition, stemness and drug resistance. Despite considerable research to investigate the mechanisms and functions of the SOX family, confusion remains regarding aspects such as the role of the SOX family in tumor immune microenvironment (TIME) and contradictory impacts the SOX family exerts on tumors. This review summarizes …

Transcription Factor Bach1 In Cancer: Roles, Mechanisms, And Prospects For Targeted Therapy, Dian Hu, Zerui Zhang, Xiangyuan Luo, Siwen Li, Junqing Jiang, Jiaqian Zhang, Zhangfan Wu, Yijun Wang, Mengyu Sun, Xiaoping Chen, Bixiang Zhang, Xiao Xu, Shuai Wang, Shengjun Xu, Yufei Wang, Wenjie Huang, Limin Xia

Faculty, Staff and Student Publications

Transcription factor BTB domain and CNC homology 1 (BACH1) belongs to the Cap 'n' Collar and basic region Leucine Zipper (CNC-bZIP) family. BACH1 is widely expressed in mammalian tissues, where it regulates epigenetic modifications, heme homeostasis, and oxidative stress. Additionally, it is involved in immune system development. More importantly, BACH1 is highly expressed in and plays a key role in numerous malignant tumors, affecting cellular metabolism, tumor invasion and metastasis, proliferation, different cell death pathways, drug resistance, and the tumor microenvironment. However, few articles systematically summarized the roles of BACH1 in cancer. This review aims to highlight the research status …

Patient And Dentist Perspectives On Collecting Patient Reported Outcomes After Painful Dental Procedures In The National Dental Pbrn, Elsbeth Kalenderian, Sayali Tungare, Urvi Mehta, Sharmeen Hamid, Rahma Mungia, Alfa-Ibrahim Yansane, David Holmes, Kim Funkhouser, Ana M Ibarra-Noriega, Janelle Urata, D Brad Rindal, Heiko Spallek, Joel White, Muhammad F Walji

Faculty, Staff and Student Publications

BACKGROUND: Dental Patient Reported Outcomes (PROs) relate to a dental patient's subjective experience of their oral health. How practitioners and patients value PROs influences their successful use in practice.

METHODS: Semi-structured interviews were conducted with 22 practitioners and 32 patients who provided feedback on using a mobile health (mHealth) platform to collect the pain experience after dental procedures. A themes analysis was conducted to identify implementation barriers and facilitators.

RESULTS: Five themes were uncovered: (1) Sense of Better Care. (2) Tailored Follow-up based on the dental procedure and patient's pain experience. (3) Effective Messaging and Alerts. (4) Usable Digital Platform. …

The Hsp90-Myc-Cdk9 Network Drives Therapeutic Resistance In Mantle Cell Lymphoma, Fangfang Yan, Vivian Jiang, Alexa Jordan, Yuxuan Che, Yang Liu, Qingsong Cai, Yu Xue, Yijing Li, Joseph Mcintosh, Zhihong Chen, Jovanny Vargas, Lei Nie, Yixin Yao, Heng-Huan Lee, Wei Wang, Johnnelson R Bigcal, Maria Badillo, Jitendra Meena, Christopher Flowers, Jia Zhou, Zhongming Zhao, Lukas M Simon, Michael Wang

Faculty, Staff and Student Publications

Brexucabtagene autoleucel CAR-T therapy is highly efficacious in overcoming resistance to Bruton's tyrosine kinase inhibitors (BTKi) in mantle cell lymphoma. However, many patients relapse post CAR-T therapy with dismal outcomes. To dissect the underlying mechanisms of sequential resistance to BTKi and CAR-T therapy, we performed single-cell RNA sequencing analysis for 66 samples from 25 patients treated with BTKi and/or CAR-T therapy and conducted in-depth bioinformatics™ analysis. Our analysis revealed that MYC activity progressively increased with sequential resistance. HSP90AB1 (Heat shock protein 90 alpha family class B member 1), a MYC target, was identified as early driver of CAR-T resistance. CDK9 …

Dynamic Prognosis Prediction For Patients On Dapt After Drug-Eluting Stent Implantation: Model Development And Validation, Fang Li, Laila Rasmy, Yang Xiang, Jingna Feng, Ahmed Abdelhameed, Xinyue Hu, Zenan Sun, David Aguilar, Abhijeet Dhoble, Jingcheng Du, Qing Wang, Shuteng Niu, Yifang Dang, Xinyuan Zhang, Ziqian Xie, Yi Nian, Jianping He, Yujia Zhou, Jianfu Li, Mattia Prosperi, Jiang Bian, Degui Zhi, Cui Tao

Faculty, Staff and Student Publications

BACKGROUND: The rapid evolution of artificial intelligence (AI) in conjunction with recent updates in dual antiplatelet therapy (DAPT) management guidelines emphasizes the necessity for innovative models to predict ischemic or bleeding events after drug-eluting stent implantation. Leveraging AI for dynamic prediction has the potential to revolutionize risk stratification and provide personalized decision support for DAPT management.

METHODS AND RESULTS: We developed and validated a new AI-based pipeline using retrospective data of drug-eluting stent-treated patients, sourced from the Cerner Health Facts data set (n=98 236) and Optum's de-identified Clinformatics Data Mart Database (n=9978). The 36 months following drug-eluting stent implantation were …

Real-World Trends, Rural-Urban Differences, And Socioeconomic Disparities In Utilization Of Narrow Versus Broad Next-Generation Sequencing Panels, Yiqing Zhao, Anastasios Dimou, Zachary C Fogarty, Jun Jiang, Hongfang Liu, William B Wong, Chen Wang

Faculty, Staff and Student Publications

UNLABELLED: Advances in genetic technology have led to the increasing use of genomic panels in precision oncology practice, with panels ranging from a couple to hundreds of genes. However, the clinical utilization and utility of oncology genomic panels, especially among vulnerable populations, is unclear. We examined the association of panel size with socioeconomic status and clinical trial matching. We retrospectively identified 9,886 eligible adult subjects in the Mayo Clinic Health System who underwent genomic testing between January 1, 2016 and June 30, 2020. Patient data were retrieved from structured and unstructured data sources of institutional collections, including cancer registries, clinical …

Identification Of New Egfr Inhibitors By Structure-Based Virtual Screening And Biological Evaluation, Shuyi Wang, Xiaotian Xu, Chuxin Pan, Qian Guo, Qinlan Li, Shanhe Wan, Zhonghuang Li, Jiajie Zhang, Xiaoyun Wu

Faculty, Staff and Student Publications

Epidermal growth factor receptor (EGFR) inhibitors have been used in clinical for the treatment of non-small-cell lung cancer for years. However, the emergence of drug resistance continues to be a major problem. To identify potential inhibitors, molecular docking-based virtual screening was conducted on ChemDiv and Enamine commercial databases using the Glide program. After multi-step VS and visual inspection, a total of 23 compounds with novel and varied structures were selected, and the predicted ADMET properties were within the satisfactory range. Further molecular dynamics simulations revealed that the reprehensive compound ZINC49691377 formed a stable complex with the allosteric pocket of EGFR …

Epigenetic Regulation In Cancer, Minzhi Gu, Bo Ren, Yuan Fang, Jie Ren, Xiaohong Liu, Xing Wang, Feihan Zhou, Ruiling Xiao, Xiyuan Luo, Lei You, Yupei Zhao

Faculty, Staff and Student Publications

Epigenetic modifications are defined as heritable changes in gene activity that do not involve changes in the underlying DNA sequence. The oncogenic process is driven by the accumulation of alterations that impact genome's structure and function. Genetic mutations, which directly disrupt the DNA sequence, are complemented by epigenetic modifications that modulate gene expression, thereby facilitating the acquisition of malignant characteristics. Principals among these epigenetic changes are shifts in DNA methylation and histone mark patterns, which promote tumor development and metastasis. Notably, the reversible nature of epigenetic alterations, as opposed to the permanence of genetic changes, positions the epigenetic machinery as …

Analyzing The Effects Of Data Variability & Volume On Predicting Particulate Matter (Pm2.5): Insights From A Machine Learning Approach, Jada A. Macharie

Theses and Dissertations

Accurately predicting PM_2.5 concentrations are imperative to the future of public health and environmental policies. Machine learning models incorporating spatial and temporal datasets to predict PM_2.5 are often limited by data availability constraints and poor resolution satellite imagery.

Safety, Immunogenicity, And Mechanism Of A Rotavirus Mrna-Lnp Vaccine In Mice, Chenxing Lu, Yan Li, Rong Chen, Xiaoqing Hu, Qingmei Leng, Xiaopeng Song, Xiaochen Lin, Jun Ye, Jinlan Wang, Jinmei Li, Lida Yao, Xianqiong Tang, Xiangjun Kuang, Guangming Zhang, Maosheng Sun, Yan Zhou, Hongjun Li

Faculty, Staff and Student Publications

Rotaviruses (RVs) are a major cause of diarrhea in young children worldwide. The currently available and licensed vaccines contain live attenuated RVs. Optimization of live attenuated RV vaccines or developing non-replicating RV (e.g., mRNA) vaccines is crucial for reducing the morbidity and mortality from RV infections. Herein, a nucleoside-modified mRNA vaccine encapsulated in lipid nanoparticles (LNP) and encoding the VP7 protein from the G1 type of RV was developed. The 5' untranslated region of an isolated human RV was utilized for the mRNA vaccine. After undergoing quality inspection, the VP7-mRNA vaccine was injected by subcutaneous or intramuscular routes into mice. …

A Computational Profile Of Invasive Lionfish In Belize: A New Insight On A Destructive Species, Joshua E. Balan

The Journal of Purdue Undergraduate Research

Since their discovery in the region in 2009, invasive Indonesian-native lionfish have been taking over the Belize Barrier Reef. As a result, populations of local species have dwindled as they are either eaten or outcompeted by the invaders. This has led to devastating losses ecologically and economically; massive industries in the local nations, such as fisheries and tourism, have suffered greatly. Attempting to combat this, local organizations, from nonprofits to ecotourism companies, have been manually spear-hunting them on scuba dives to cull the population. One such company, Reef Conservation Institute (ReefCI), operating out of Tom Owens Caye outside of Placencia, …

Prevention And Potential Treatment Strategies For Respiratory Syncytial Virus, Bo-Wen Sun, Peng-Peng Zhang, Zong-Hao Wang, Xia Yao, Meng-Lan He, Rui-Ting Bai, Hao Che, Jing Lin, Tian Xie, Zi Hui, Xiang-Yang Ye, Li-Wei Wang

Faculty, Staff and Student Publications

Respiratory syncytial virus (RSV) is a significant viral pathogen that causes respiratory infections in infants, the elderly, and immunocompromised individuals. RSV-related illnesses impose a substantial economic burden worldwide annually. The molecular structure, function, and in vivo interaction mechanisms of RSV have received more comprehensive attention in recent times, and significant progress has been made in developing inhibitors targeting various stages of the RSV replication cycle. These include fusion inhibitors, RSV polymerase inhibitors, and nucleoprotein inhibitors, as well as FDA-approved RSV prophylactic drugs palivizumab and nirsevimab. The research community is hopeful that these developments might provide easier access to knowledge and …

Dementia Prediction In Older Adults Using Sex-Specific Health Trajectory Clustering, Omar A Ibrahim, Muskan Garg, Sunyang Fu, Maria Vassilaki, Ronald C Petersen, Jennifer St Sauver, Sunghwan Sohn

Faculty, Staff and Student Publications

With increasing number of people living with dementia, the problem of late diagnosis significantly impacts a person's quality of life while early signs of dementia may provide useful insights to facilitate better treatment plans. With time, this progressive neurodegenerative syndrome could progress from mild cognitive impairment to dementia. A pattern of health conditions can be characterized in unsupervised manner to help predict this progress. As a significant extension to our previous work with streaming clustering model, we consider additional information for predicting dementia onset. With empirical observations, we discover the importance of examining sex and age to predict dementia onset. …

Fusionnw, A Potential Clinical Impact Assessment Of Kinases In Pan-Cancer Fusion Gene Network, Chengyuan Yang, Himansu Kumar, Pora Kim

Faculty, Staff and Student Publications

Kinase fusion genes are the most active fusion gene group in human cancer fusion genes. To help choose the clinically significant kinase so that the cancer patients that have fusion genes can be better diagnosed, we need a metric to infer the assessment of kinases in pan-cancer fusion genes rather than relying on the sample frequency expressed fusion genes. Most of all, multiple studies assessed human kinases as the drug targets using multiple types of genomic and clinical information, but none used the kinase fusion genes in their study. The assessment studies of kinase without kinase fusion gene events can …

Current Status And Applications Of Microbial Chassis Strains For Chinese Biomanufacturing Industry, Guoqiang Chen, Fuqing Wu, Shuang Zheng, Jun Ding, Junting Sheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Biomanufacturing is an important component of new quality productive forces, representing the commanding height of the new round of technological revolution and serving as a new engine for industrial transformation following information technology. It demonstrates vast application prospects in fields such as renewable energy, advanced materials, biomedicine, green food, and environmental protection. Biomanufacturing utilizes chassis microorganisms similar as “microchip” to produce various bioproducts via processes including chassis design and construction, large-scale cell cultivation, and product purifications. Most chassis microorganisms in biomanufacturing were not domestically identified. This study summarizes the types of common chassis microorganisms both domestically and internationally, as well …

Research Progress In High-Throughput Phenotype Testing Technology And Equipment For Engineering Cells Based On Microfluidics, Shuang Li, Xiaojie Guo, Haibo Chen, Sisi Chen, Xin Da, Zhenghui Li, Qinxiu Liu, Yi Wang, Xinhui Xing, Chong Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Engineering cells are a core component of green bio-manufacturing. The efficient testing and acquisition of engineering cells with the desired phenotype is a critical factor in the successful implementation of bio-manufacturing. In recent years, based on microfluidics technologies, non-culture type single-cell phenotype high-throughput test equipment and culture type phenotype high-throughput test equipment for the growth and metabolism of single cell in a bioreactor have been developed such as microdroplet and microchamber, realizing high-throughput, automated, miniaturized, and integrated testing of the phenotypes of engineering cells and providing a powerful tool for the breeding of engineering cells. This review systematically compiles the …

Research On Innovative Development Path And Policy Guarantee Of China’S Synthetic Biology Industry, Hongjun Geng, Chang Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Synthetic biology is hailed as the third revolution in life sciences after the discovery of the DNA double helix structure and genomic technology, and is the core driving force for the leapfrog development of next-generation biomanufacturing and the future bioeconomy, opening up an opportunity window for the reshaping of the global manufacturing map. How to strategically position the synthesis biology industry and seize the strategic high ground in the industry is a core topic of interest for global science and technology powers and manufacturing powers. Based on the identification of problems in the development of China’s synthesis biology industry, this …

Internal Logic And Policy Recommendations Of Big Data To Support High-Quality Development Of Modern Agricultural Industry, Yingming Li, Zitong Wang, Mingyue Wang, Shiyi Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Clarifying the internal logic of big data to support modern agricultural production is helpful to cultivate and develop new quality productive forces in agriculture. From the perspective of economics, this study proposes that the role of big data in modern agricultural production is mainly reflected in two levels. Firstly, it improves the total factor productivity of the traditional agricultural production function. Secondly, it changes the factor endowment structure of agricultural production and forms a new agricultural production function. Based on these, the realization form of big data to support modern agricultural production can be summarized as improving the efficiency of …

Recent Progress And Perspectives On Development Of Gene Editing Tools, Zixian Liu, Chengping Li, Gogo Jun-Jie Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The gene editing field has witnessed remarkable advancements in recent years, leading to the establishment and refinement of multidimensional gene editing platforms. These innovations have enabled precise targeted gene knockout, repair, and insertion. These tools have stimulated significant progress in fundamental research, therapeutics, agriculture, environment protection, and industrial applications. In this review, we provide a comprehensive overview of the milestones in gene editing tool development and offer perspectives on potential future directions for this rapidly evolving field.

Microbial Production Of Feed Amino Acids Promotes Reduction And Replacement Of Soybean Meal, Jia Liu, Qi Sheng, Kaifang Liu, Liming Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the promotion of soybean meal reduction and substitution as well as lower-protein diet technologies, China has become a leading global producer of feed amino acids. However, the amino acid industry faces significant challenges due to its relatively late start in independently developing industrial strains, resulting in relatively lagging key economic and technical parameters and a less robust intellectual property framework. The rapid progress of synthetic biology has provided promising avenues for the design and optimization of industrial amino acid-producing strains, offering new opportunities for the amino acid fermentation industry to enhance the global competitiveness. This study offers an in-depth …

Current Status And Prospect Of Industrial Filamentous Fungi In Biomanufacturing, Zhiqiang Du, Ping Men, Yu Zhou, Xuan Zhang, Xuenian Huang, Xuefeng Lyu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Filamentous fungi, a critical class of industrial microorganisms pivotal to the biomanufacturing industry, has extensive applications in various fields such as pharmaceuticals, food, agriculture, and chemical materials, which are playing a vital role in human life. Recently, innovations in synthetic biology have further driven the application of industrial filamentous fungi in biomanufacturing, highlighting their critical role in this field. This article presents a comprehensive review of the recent progress in the field, covering the latest developments in genetic modification techniques for industrial filamentous fungi, successful cases of rational strain improvement strategies aimed to enhance the quality and efficiency of current …

Digitalized Design Of Cell Factory Enables Green Biomanufacturing, Fanze Meng, Rui Cao, Bing Hu, Lei Qin, Chun Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Green manufacturing is a modern manufacturing mode in the consideration of both environmental impact and efficiency of resource utilization, it represents a significant component of the “new productive force”. Centered on cell factories, green biomanufacturing leverages renewable resources to efficiently produce products that conform to the concepts of low-carbon, green, and sustainable development. The design of high-performance cell factories is pivotal for achieving efficient green biomanufacturing. Nevertheless, traditional cell factory design processes are complex, time-consuming, and labor-intensive. With advancements in artificial intelligence, digital-assisted cell factory design has emerged as a solution to save time and reduce costs. By integrating technologies …