Papers in recent three years (total publications >150, you can find a complete publication list from Google Scholar)

 The Tang lab has worked with different research groups and companies to explore microbial metabolisms (over 40 species).

  1. Lee H, Diao J, Tian Y, Guleria R, Lee E, Smith A, Savage M, Yeh D, Roberson L, Blenner M, Tang YJ, Moon TS. Developing an alternative medium for in-space biomanufacturing. Nat Commun 16, 728 (2025).

  2.  Xiao Z, Xiong X, Sun Y, Tourang M, Chen S, Tang YJ. Metabolic analyses of Yarrowia lipolytica for biopolymer production reveals roadblocks and strategies for microbial utilizing volatile fatty acids as sustainable feedstocks. Bioresource Technology. 2025. 417, 131855                      

  3.  Xiao Z, Pakrasi HB, Chen Y, Tang YJ. Network for Knowledge Organization (NEKO): an AI knowledge mining workflow for synthetic biology research. Metabolic Engineering. 2025. 87, 60-67

  4. Xu VA, Lee H, Long B, Yuan J, Tang YJ, MAGMA: Microbial and Algal Growth Modeling Application. New Biotechnology 2025. 85, 16-22

  5. Lima M, Muddana C, Xiao Z, Bandyopadhyay A, Wangikar P, Pakrasi HB, Tang YJ. The new chassis in the flask: advances in Vibrio natriegens biotechnology research. Biotechnology Advance. 2024. 77: 108464.

  6. Li W, Mao Z, Xiao Z, Liao X, Koffas M, Chen Y, Ma H, Tang YJ. Large Language Model for knowledge synthesis and AI-enhanced biomanufacturing. Trends in Biotechnology. 2025. In press.

  7. Lee H, Xu V, Diao J, Zhao R, Chen M, Moon TS, Liu H, Parker K, Jun YS, Tang YJ. Combined Effects of Nutrient Limitation and Environmental Stress on Blue-green Algae Growth and Cyanotoxin Production. Frontier in Microbiology. 2025. 15, 1461119.  

  8. Worland AM, Han Z, Maruwan J, Wang Y, Du ZY, Tang YJ, Su WW, Roell G. Elucidation of triacylglycerol catabolism in Yarrowia lipolytica: how cells balance acetyl-CoA and excess reducing equivalents. Metabolic Engineering. 2024. 77, 231-241

  9. Backman TWH, Schenk C, Radivojevic T, Ando D, Singh J, Czajka JJ, Costello Z, Keasling JD, Tang YJ, Akhmatskay E, Martin GH.  BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale. PLoS computational biology. 2024. 19 (11), e1011111

  10. Long B, Zhang F, Dai S, Tang YJ, Yuan JS. Bioengineering to Empower Next Generation Lignocellulosic Biorefinery. Nature Reviews Bioengineering. October 2024.

  11. Tang YJ and Moon TS. Mining microbial metabolism. Nature Chemical Biology. 2023. 19(5):544-545.

  12. Xiao Z, Li W, Moon H, Roell GW, Chen Y, Tang YJ. Generative artificial intelligence GPT-4 accelerates knowledge mining and machine learning for synthetic biology. ACS Synthetic Biology. 2023. 12(10):2973-2982

  13. Backman TWH, Schenk C, Radivojevic T, Ando D, Singh J, Czajka JJ, Costello Z, Keasling JD, Tang Y, Akhmatskaya E, Martin HG, BayFlux: A Bayesian method to quantify Fluxes at the Genome Scale. Plos Computational Biology. 2023. 19(11): e1011111.

  14. Han Z, Maruwan J, Tang YJ, Su WW. Conditional protein degradation in Yarrowia lipolytica using the auxin-inducible degron. Frontiers in Bioengineering and Biotechnology. 2023. 11:1188119.

  15. Roell GW, Schenk C, Anthony WE, Carr RR, Ponukumati A, Kim J,  Akhmatskaya E, Foston M, Dantas G, Moon TS, Tang YJ, Martin HG.A High-Quality Genome-Scale Model for Rhodococcus opacus Metabolism. ACS Synthetic Biology. 2023. 12, 6, 1632–1644

  16. Zheng Y, Czajka JC, Daiek C, Yang Z, Sun L, Tang Y, Liu Y, Liao W. An algal-bacterial symbiotic system of carbon fixation using formate as a carbon source. Algal Research. 2023.  103103

  17. Xiao Z., Connor A.J., Worland AM, Tang YJ, Zha R.H., and Koffas M. Silk fibroin production in Escherichia coli is limited by a positive feedback loop between metabolic burden and toxicity stress. Metabolic Engineering. 2023. 77:231-241

  18. Huffine C, Zhao R, Tang YJ, Cameron JC. Role of carboxysomes in cyanobacterial CO2 assimilation: CO2 concentrating mechanisms and metabolon implications. Environmental Microbiology. 2023. 25(2):219-228

  19. Zhao R, Sengupta A, Tan AX, Whelan R, Pinkerton T, Menasalvas J, Eng T, Mukho-padhyay A, Jun YS, Pakrasi HB, and Tang YJ. Photobiological production of high-value pigments via compartmentalized co-cultures using Ca-alginate hydrogels. Scientific Report. 2022. 12, Article number: 22163

  20. Zha J, ZhaoZ, Xiao Z, Eng T, Mukhopadhyay A, Koffas M, Tang YJ. Biosystems Design of Corynebacterium glutamicum for Bio-Production. Current Opinion in Biotechnology. 79, 2023, 102870.

  21. Czajka JJ, Banerjee D, Eng T, Menasalvas J, Yane C, Munoz NM, Poirier BC, Kim YM, Baker SE, Tang YJ, & Mukhopadhyay A. Tuning a High Performing Multiplexed-CRISPRi Pseudomonas putida Strain to Further Enhance Indigoidine Production. Metabolic Engineering Communications.  2022. e00206

  22. Roell G, Sathish A, Wan N, Wen Z, Tang YJ, Bao F. A comparative evaluation of machine learning algorithms for predicting syngas fermentation outcomes. Biochemical Engineering Journal. 2022. Volume 186, 2022, 108578

  23. Liu F, Worland A, Tang YJ, Moustafa H, Hassouna MSE, He Z. Microbial electrochemical ammonia recovery from anaerobic digester centrate and subsequent application to fertilize Arabidopsis thaliana. Water Research. 2022. 220:118667

  24. Xiao Z, Tan AX, Xu V, Jun YS and Tang YJ. Mineral-Hydrogel Composites for Mitigating Harmful Algal Bloom and Supplying Phosphorous for Photo-biorefineries. Science of The Total Environment. 2022. V847, 157533.

  25. Li T, Pang N, He L, Xu Y, Fu X, Tang YJ, Shachar-Hill Y, Chen S. Re-programing glucose catabolism in Microalga Chlorella sorokiniana under light condition. Biomolecules 2022. 12, 7, 939

  26. Fang Z, Tang YJ, Koffas MAG. Harnessing electrical-to-biochemical conversion for microbial synthesis. Current Opinion in Biotechnology 2022, 75, 102687           

  27. Liao X, Ma H, Tang YJ. Artificial intelligence: a solution to involution of design–build–test–learn cycle. Current Opinion in Biotechnology 2022, 75, 102712