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Research Areas

Biosystems Design: Publications

Hellinger, R., Sigurdsson, A., Wu, W., Romanova, E. V., Li, L., Sweedler, J. V., Süssmuth, R. D., & Gruber, C. W. (2023). Peptidomics. Nature Reviews Methods Primers, 3(1), [25]. https://doi.org/10.1038/s43586-023-00205-2

Aspray, E. K., Mies, T. A., McGrath, J. A., Montes, C. M., Dalsing, B., Puthuval, K. K., Whetten, A., Herriott, J., Li, S., Bernacchi, C. J., DeLucia, E. H., Leakey, A. D. B., Long, S. P., McGrath, J. M., Miglietta, F., Ort, D. R., & Ainsworth, E. A. (2023). Two decades of fumigation data from the Soybean Free Air Concentration Enrichment facility. Scientific Data, 10(1), [226]. https://doi.org/10.1038/s41597-023-02118-x

Choe, K., Jindra, M. A., Hubbard, S. C., Pfleger, B. F., & Sweedler, J. V. (2023). MALDI-MS screening of microbial colonies with isomer resolution to select fatty acid desaturase variants. Analytical Biochemistry, 672, [115169]. https://doi.org/10.1016/j.ab.2023.115169

Lee, M. S., Boyd, R. A., Boateng, K. A., & Ort, D. R. (2023). Exploring 3D leaf anatomical traits for C4 photosynthesis: chloroplast and plasmodesmata pit field size in maize and sugarcane. New Phytologist, 239(2), 506-517. https://doi.org/10.1111/nph.18956

Cho, Y. B., Stutz, S. S., Jones, S. I., Wang, Y., Pelech, E. A., & Ort, D. R. (2023). Impact of pod and seed photosynthesis on seed filling and canopy carbon gain in soybean. Plant physiology, [kiad324]. https://doi.org/10.1093/plphys/kiad324

Volk, M. J., Tran, V. G., Tan, S. I., Mishra, S., Fatma, Z., Boob, A., Li, H., Xue, P., Martin, T. A., & Zhao, H. (2023). Metabolic Engineering: Methodologies and Applications. Chemical reviews, 123(9), 5521-5570. https://doi.org/10.1021/acs.chemrev.2c00403

Castro, D. C., Smith, K. W., Norsworthy, M. D., Rubakhin, S. S., Weisbrod, C. R., Hendrickson, C. L., & Sweedler, J. V. (2023). Single-Cell and Subcellular Analysis Using Ultrahigh Resolution 21 T MALDI FTICR Mass Spectrometry. Analytical Chemistry, 95(17), 6980-6988. https://doi.org/10.1021/acs.analchem.3c00393

Njuguna, J. N., Clark, L. V., Anzoua, K. G., Bagmet, L., Chebukin, P., Dwiyanti, M. S., Dzyubenko, E., Dzyubenko, N., Ghimire, B. K., Jin, X., Johnson, D. A., Jørgensen, U., Kjeldsen, J. B., Nagano, H., Peng, J., Petersen, K. K., Sabitov, A., Seong, E. S., Yamada, T., ... Sacks, E. J. (2023). Biomass yield in a genetically diverse Miscanthus sacchariflorus germplasm panel phenotyped at five locations in Asia, North America, and Europe. GCB Bioenergy, 15(5), 642-662. https://doi.org/10.1111/gcbb.13043

Pan, C., Chien, E., & Milenkovic, O. (2023). Unlearning Graph Classifiers with Limited Data Resources. In ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023 (pp. 716-726). (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023). Association for Computing Machinery. https://doi.org/10.1145/3543507.3583547

Lee, D. K., Rubakhin, S. S., & Sweedler, J. V. (2023). Chemical Decrosslinking-Based Peptide Characterization of Formaldehyde-Fixed Rat Pancreas Using Fluorescence-Guided Single-Cell Mass Spectrometry. Analytical Chemistry, 95(16), 6732-6739. https://doi.org/10.1021/acs.analchem.3c00612

Kong, W., Qian, Y., Stewart, P. S., & Lu, T. (2023). De novo engineering of a bacterial lifestyle program. Nature chemical biology, 19(4), 488-497. https://doi.org/10.1038/s41589-022-01194-1

Pan, C., Chien, E., Tabaghi, P., Peng, J., & Milenkovic, O. (2023). Provably accurate and scalable linear classifiers in hyperbolic spaces. Knowledge and Information Systems, 65(4), 1817-1850. https://doi.org/10.1007/s10115-022-01820-3

Yu, T., Cui, H., Li, J. C., Luo, Y., Jiang, G., & Zhao, H. (2023). Enzyme function prediction using contrastive learning. Science, 379(6639), 1358-1363. https://doi.org/10.1126/science.adf2465

Hu, M., Dinh, H. V., Shen, Y., Suthers, P. F., Foster, C. J., Call, C. M., Ye, X., Pratas, J., Fatma, Z., Zhao, H., Rabinowitz, J. D., & Maranas, C. D. (2023). Comparative study of two Saccharomyces cerevisiae strains with kinetic models at genome-scale. Metabolic Engineering, 76, 1-17. https://doi.org/10.1016/j.ymben.2023.01.001

Zhou, S., Fatma, Z., Xue, P., Mishra, S., Cao, M., Zhao, H., & Sweedler, J. V. (2023). Mass Spectrometry-Based High-Throughput Quantification of Bioproducts in Liquid Culture. Analytical Chemistry, 95(8), 4067-4076. https://doi.org/10.1021/acs.analchem.2c04845

Long, S. P., Morgan, G., Kromdijk, J., Glowacka, K., Niyogi, K. K., Leonelli, L., & Gabilly, S. (2023). Transgenic Plants With Increased Photosynthesis Efficiency And Growth. (U.S. Patent No. 11572569).

Xie, Y. R., Chari, V. K., Castro, D. C., Grant, R., Rubakhin, S. S., & Sweedler, J. V. (2023). Data-Driven and Machine Learning-Based Framework for Image-Guided Single-Cell Mass Spectrometry. Journal of Proteome Research, 22(2), 491-500. https://doi.org/10.1021/acs.jproteome.2c00714

Yukawa, T., Bamba, T., Matsuda, M., Yoshida, T., Inokuma, K., Kim, J., Won Lee, J., Jin, Y. S., Kondo, A., & Hasunuma, T. (2023). Enhanced production of 3,4-dihydroxybutyrate from xylose by engineered yeast via xylonate re-assimilation under alkaline condition. Biotechnology and bioengineering, 120(2), 511-523. https://doi.org/10.1002/bit.28278

Nguyen, C., Sagan, V., Bhadra, S., & Moose, S. (2023). UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping. Sensors, 23(4), [1827]. https://doi.org/10.3390/s23041827

Zhou, Y., Mirts, E. N., Yook, S., Waugh, M., Martini, R., Jin, Y. S., & Lu, Y. (2023). Reshaping the 2-Pyrone Synthase Active Site for Chemoselective Biosynthesis of Polyketides. Angewandte Chemie - International Edition, 62(5), [e202212440]. https://doi.org/10.1002/anie.202212440

Cheong, C. B., Peh, G. R., Wei, Y., Rehka, T., Ang, E. L., Zhao, H., Zhang, C., & Lim, Y. H. (2023). A Spirobicyclo[3.1.0]Terpene from the Investigation of Sesquiterpene Synthases from Lactarius deliciosus. ACS chemical biology, 18(1), 134-140. https://doi.org/10.1021/acschembio.2c00760

Jia, J., Parmar, D., Ellis, J. F., Cao, T., Cutri, A. R., Shrout, J. D., Sweedler, J. V., & Bohn, P. W. (2023). Effect of Micro-Patterned Mucin on Quinolone and Rhamnolipid Profiles of Mucoid Pseudomonas aeruginosa under Antibiotic Stress. ACS Infectious Diseases, 9(1), 150-161. https://doi.org/10.1021/acsinfecdis.2c00519

Singh, R., Bhagwat, S. S., Viswanathan, M. B., Cortés‐Peña, Y. R., Eilts, K. K., Mcdonough, G., Cao, M., Guest, J. S., Zhao, H., & Singh, V. (2023). Adsorptive separation and recovery of triacetic acid lactone from fermentation broth. Biofuels, Bioproducts and Biorefining, 17(1), 109-120. https://doi.org/10.1002/bbb.2427

Gabrys, R., Pattabiraman, S., & Milenkovic, O. (2023). Reconstruction of Sets of Strings From Prefix/Suffix Compositions. IEEE Transactions on Communications, 71(1), 3-12. https://doi.org/10.1109/TCOMM.2022.3222341

Lee, J. W., Bhagwat, S. S., Kuanyshev, N., Cho, Y. B., Sun, L., Lee, Y. G., Cortés-Peña, Y. R., Li, Y., Rao, C. V., Guest, J. S., & Jin, Y. S. (2023). Rewiring yeast metabolism for producing 2,3-butanediol and two downstream applications: Techno-economic analysis and life cycle assessment of methyl ethyl ketone (MEK) and agricultural biostimulant production. Chemical Engineering Journal, 451, [138886]. https://doi.org/10.1016/j.cej.2022.138886

Rana, V., Chien, E., Peng, J., & Milenkovic, O. (2023). Small-Sample Estimation of the Mutational Support and Distribution of SARS-CoV-2. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(1), 668-682. https://doi.org/10.1109/TCBB.2022.3165395

Jeong, Y., Kong, W., Lu, T., & Irudayaraj, J. (2023). Soft hydrogel-shell confinement systems as bacteria-based bioactuators and biosensors. Biosensors and Bioelectronics, 219, [114809]. https://doi.org/10.1016/j.bios.2022.114809

Deshavath, N. N., Dien, B. S., Slininger, P. J., Jin, Y-S., & Singh, V. (2023). A Chemical-Free Pretreatment for Biosynthesis of Bioethanol and Lipids from Lignocellulosic Biomass: An Industrially Relevant 2G Biorefinery Approach. Fermentation, 9(1), [5]. https://doi.org/10.3390/fermentation9010005

Sobańska, K., Jedryszek, P., Kern, C., Basińska-Barczak, A., Pniewski, T., & Long, S. P. (2023). An efficient indirect plant regeneration from shoot apical meristem (SAM) derived embryogenic callus of Miscanthus × giganteus. Biocatalysis and Agricultural Biotechnology, 47, [102576]. https://doi.org/10.1016/j.bcab.2022.102576

Mishra, S., Wang, Z., Volk, M. J., & Zhao, H. (2023). Design and application of a kinetic model of lipid metabolism in Saccharomyces cerevisiae. Metabolic Engineering, 75, 12-18. https://doi.org/10.1016/j.ymben.2022.11.003

Ruiz-Vera, U. M., Balikian, R., Larson, T. H., & Ort, D. R. (2023). Evaluation of the effects of elevated CO2 concentrations on the growth of cassava storage roots by destructive harvests and ground penetrating radar scanning approaches. Plant, Cell & Environment, 46(1), 93-105. https://doi.org/10.1111/pce.14474

Burgess, A. J., Masclaux-Daubresse, C., Strittmatter, G., Weber, A. P. M., Taylor, S. H., Harbinson, J., Yin, X., Long, S., Paul, M. J., Westhoff, P., Loreto, F., Ceriotti, A., Saltenis, V. L. R., Pribil, M., Nacry, P., Scharff, L. B., Jensen, P. E., Muller, B., Cohan, J. P., ... Baekelandt, A. (2023). Improving crop yield potential: Underlying biological processes and future prospects. Food and Energy Security, 12(1), [e435]. https://doi.org/10.1002/fes3.435

Pattabiraman, S., Gabrys, R., & Milenkovic, O. (Accepted/In press). Coding for Polymer-Based Data Storage. IEEE Transactions on Information Theory, 1. https://doi.org/10.1109/TIT.2023.3267620

Lim, C. K. W., Miskalis, A. J., Perez-Pinera, P., & Gaj, T. (2023). Delivering Base Editors In Vivo by Adeno-Associated Virus Vectors. In Methods in Molecular Biology (pp. 135-158). (Methods in Molecular Biology; Vol. 2606). Humana Press Inc.. https://doi.org/10.1007/978-1-0716-2879-9_11

Long, C. C., Antevska, A., Mast, D. H., Okyem, S., Sweedler, J. V., & Do, T. D. (Accepted/In press). Nonenzymatic Posttranslational Modifications and Peptide Cleavages Observed in Peptide Epimers. Journal of the American Society for Mass Spectrometry. https://doi.org/10.1021/jasms.3c00092

Castro, D. C., Chan-Andersen, P., Romanova, E. V., & Sweedler, J. V. (Accepted/In press). Probe-based mass spectrometry approaches for single-cell and single-organelle measurements. Mass Spectrometry Reviews. https://doi.org/10.1002/mas.21841

Lee, S. H., Yun, E. J., Han, N. R., Jung, I., Pelton, J. G., Lee, J-E., Kang, N. J., Jin, Y-S., & Kim, K. H. (2023). Production of Ethyl-agarobioside, a Novel Skin Moisturizer, by Mimicking the Alcoholysis from the Japanese Sake-Brewing Process. Marine Drugs, 21(6). https://doi.org/10.3390/md21060341

Li, G., Jeon, C. K., Ma, M., Jia, Y., Zheng, Z., Delafield, D. G., Lu, G., Romanova, E. V., Sweedler, J. V., Ruotolo, B. T., & Li, L. (Accepted/In press). Site-specific chirality-conferred structural compaction differentially mediates the cytotoxicity of Aβ42. Chemical Science. https://doi.org/10.1039/d3sc00678f

Cavanagh, A. P., & Ort, D. R. (Accepted/In press). Transgenic strategies to improve the thermotolerance of photosynthesis. Photosynthesis research. https://doi.org/10.1007/s11120-023-01024-y

Milenkovic, O., Hernandez, A. G., Zhao, H., & Tabatabaei, S. (2022). Nick-based Data Storage In Native Nucleic Acids. (U.S. Patent No. 11538554).

Cabrera, A., Edelstein, H. I., Glykofrydis, F., Love, K. S., Palacios, S., Tycko, J., Zhang, M., Lensch, S., Shields, C. E., Livingston, M., Weiss, R., Zhao, H., Haynes, K. A., Morsut, L., Chen, Y. Y., Khalil, A. S., Wong, W. W., Collins, J. J., Rosser, S. J., ... Deans, T. L. (2022). The sound of silence: Transgene silencing in mammalian cell engineering. Cell Systems, 13(12), 950-973. https://doi.org/10.1016/j.cels.2022.11.005

Liu, Y., Wei, Y., Teh, T. M., Liu, D., Zhou, Y., Zhao, S., Ang, E. L., Zhao, H., & Zhang, Y. (2022). Identification and Characterization of the Biosynthetic Pathway of the Sulfonolipid Capnine. Biochemistry, 61(24), 2861-2869. https://doi.org/10.1021/acs.biochem.2c00102

Cheong, Y. E., Kim, J., Jin, Y. S., & Kim, K. H. (2022). Elucidation of the fucose metabolism of probiotic Lactobacillus rhamnosus GG by metabolomic and flux balance analyses. Journal of Biotechnology, 360, 110-116. https://doi.org/10.1016/j.jbiotec.2022.11.002

Lim, C. K. W., McCallister, T. X., Saporito-Magriña, C., McPheron, G. D., Krishnan, R., Zeballos C, M. A., Powell, J. E., Clark, L. V., Perez-Pinera, P., & Gaj, T. (2022). CRISPR base editing of cis-regulatory elements enables the perturbation of neurodegeneration-linked genes. Molecular Therapy, 30(12), 3619-3631. https://doi.org/10.1016/j.ymthe.2022.08.008

Shi, W., Bell, S., Iyer, H., Brenden, C. K., Zhang, Y., Kim, S., Park, I., Bashir, R., Sweedler, J., & Vlasov, Y. (2022). Integrated silicon microfluidic chip for picoliter-scale analyte segmentation and microscale printing for mass spectrometry imaging. Lab on a chip, 23(1), 72-80. https://doi.org/10.1039/d2lc00688j

Peddada, S. R. T., Zeidner, L. E., Ilies, H. T., James, K. A., & Allison, J. T. (2022). Toward Holistic Design of Spatial Packaging of Interconnected Systems with Physical Interactions (SPI2). Journal of Mechanical Design, Transactions of the ASME, 144(12), [120801]. https://doi.org/10.1115/1.4055055

Lee, Y. G., Ju, Y., Sun, L., Park, S., Jin, Y. S., & Kim, S. R. (2022). Acetate-rich Cellulosic Hydrolysates and Their Bioconversion Using Yeasts. Biotechnology and Bioprocess Engineering, 27(6), 890-899. https://doi.org/10.1007/s12257-022-0217-3

Ayikpoe, R. S., Shi, C., Battiste, A. J., Eslami, S. M., Ramesh, S., Simon, M. A., Bothwell, I. R., Lee, H., Rice, A. J., Ren, H., Tian, Q., Harris, L. A., Sarksian, R., Zhu, L., Frerk, A. M., Precord, T. W., van der Donk, W. A., Mitchell, D. A., & Zhao, H. (2022). A scalable platform to discover antimicrobials of ribosomal origin. Nature communications, 13(1), [6135]. https://doi.org/10.1038/s41467-022-33890-w

Peng, Q., Huang, Z., Sun, K., Liu, Y., Yoon, C. W., Harrison, R. E. S., Schmitt, D. L., Zhu, L., Wu, Y., Tasan, I., Zhao, H., Zhang, J., Zhong, S., Chien, S., & Wang, Y. (2022). Engineering inducible biomolecular assemblies for genome imaging and manipulation in living cells. Nature communications, 13(1), [7933]. https://doi.org/10.1038/s41467-022-35504-x

Wang, Y., Stutz, S. S., Bernacchi, C. J., Boyd, R. A., Ort, D. R., & Long, S. P. (2022). Increased bundle sheath leakiness of CO2 during photosynthetic induction shows a lack of coordination between the C4 and C3 cycles. New Phytologist, 236(5), 1661-1675. https://doi.org/10.1111/nph.18485

Schultz, J. C., Mishra, S., Gaither, E., Mejia, A., Dinh, H., Maranas, C., & Zhao, H. (2022). Metabolic engineering of Rhodotorula toruloides IFO0880 improves C16 and C18 fatty alcohol production from synthetic media. Microbial cell factories, 21(1), [26]. https://doi.org/10.1186/s12934-022-01750-3

Ort, D. R., Chinnusamy, V., & Pareek, A. (2022). Photosynthesis: diving deep into the process in the era of climate change. Plant Physiology Reports, 27(4), 539-542. https://doi.org/10.1007/s40502-022-00703-7

Enghiad, B., Xue, P., Singh, N., Boob, A. G., Shi, C., Petrov, V. A., Liu, R., Peri, S. S., Lane, S. T., Gaither, E. D., & Zhao, H. (2022). PlasmidMaker is a versatile, automated, and high throughput end-to-end platform for plasmid construction. Nature communications, 13(1), [2697]. https://doi.org/10.1038/s41467-022-30355-y

Pan, C., Tabatabaei, S. K., Tabatabaei Yazdi, S. M. H., Hernandez, A. G., Schroeder, C. M., & Milenkovic, O. (2022). Rewritable two-dimensional DNA-based data storage with machine learning reconstruction. Nature communications, 13(1), [2984]. https://doi.org/10.1038/s41467-022-30140-x

Khandelwal, A., Athreya, N., Tu, M. Q., Janavicius, L. L., Yang, Z., Milenkovic, O., Leburton, J. P., Schroeder, C. M., & Li, X. (2022). Self-assembled microtubular electrodes for on-chip low-voltage electrophoretic manipulation of charged particles and macromolecules. Microsystems and Nanoengineering, 8(1), [27]. https://doi.org/10.1038/s41378-022-00354-6

Cao, S., Wang, L., Han, T., Ye, W., Liu, Y., Sun, Y., Moose, S. P., Song, Q., & Chen, Z. J. (2022). Small RNAs mediate transgenerational inheritance of genome-wide trans-acting epialleles in maize. Genome biology, 23(1), [53]. https://doi.org/10.1186/s13059-022-02614-0

Kim, J., Cheong, Y. E., Yu, S., Jin, Y. S., & Kim, K. H. (2022). Strain engineering and metabolic flux analysis of a probiotic yeast Saccharomyces boulardii for metabolizing l-fucose, a mammalian mucin component. Microbial cell factories, 21(1), [204]. https://doi.org/10.1186/s12934-022-01926-x

Pei, S., Liu, P., Parker, D. A., Mackie, R. I., & Rao, C. V. (2022). Systems analysis of the effect of hydrogen sulfide on the growth of Methylococcus capsulatus Bath. Applied Microbiology and Biotechnology, 106(23), 7879-7890. https://doi.org/10.1007/s00253-022-12236-y

Gupta, V. K., Bakshi, U., Chang, D., Lee, A. R., Davis, J. M., Chandrasekaran, S., Jin, Y. S., Freeman, M. F., & Sung, J. (2022). TaxiBGC: a Taxonomy-Guided Approach for Profiling Experimentally Characterized Microbial Biosynthetic Gene Clusters and Secondary Metabolite Production Potential in Metagenomes. mSystems, 7(6). https://doi.org/10.1128/msystems.00925-22

Trieu, A., Belaffif, M. B., Hirannaiah, P., Manjunatha, S., Wood, R., Bathula, Y., Billingsley, R. L., Arpan, A., Sacks, E. J., Clemente, T. E., Moose, S. P., Reichert, N. A., & Swaminathan, K. (2022). Transformation and gene editing in the bioenergy grass Miscanthus. Biotechnology for Biofuels and Bioproducts, 15(1), [148]. https://doi.org/10.1186/s13068-022-02241-8

Nagarajan, K., Ni, C., & Lu, T. (2022). Agent-Based Modeling of Microbial Communities. ACS synthetic biology, 11(11), 3564-3574. https://doi.org/10.1021/acssynbio.2c00411

Ni, C., & Lu, T. (2022). Individual-Based Modeling of Spatial Dynamics of Chemotactic Microbial Populations. ACS synthetic biology, 11(11), 3714-3723. https://doi.org/10.1021/acssynbio.2c00322

Zhao, H. (2022). The Ever-Expanding Boundaries of Synthetic Biology. ACS synthetic biology, 11(11), 3550. https://doi.org/10.1021/acssynbio.2c00582

Zhao, F., Wei, Y., Wang, X., Zhou, Y., Tong, Y., Ang, E. L., Liu, S., Zhao, H., & Zhang, Y. (2022). Enzymatic Synthesis of the Unnatural Nucleotide 2’-Deoxyisoguanosine 5’-Monophosphate. ChemBioChem, 23(21), [e202200295]. https://doi.org/10.1002/cbic.202200295

Santu, S. K. K., Hassan, M. M., Smith, M. J., Xu, L., Zhai, C., & Veeramachaneni, K. (2022). AutoML to Date and Beyond: Challenges and Opportunities. ACM Computing Surveys, 54(8), [175]. https://doi.org/10.1145/3470918

Qiao, W., Xu, S., Liu, Z., Fu, X., Zhao, H., & Shi, S. (2022). Challenges and opportunities in C1-based biomanufacturing. Bioresource Technology, 364, [128095]. https://doi.org/10.1016/j.biortech.2022.128095

Han, N. R., Yu, S., Yun, E. J., Jin, Y. S., & Kim, K. H. (2022). Production of colanic acid hydrolysate and its use in the production of fucosylated oligosaccharides by engineered Saccharomyces cerevisiae. Process Biochemistry, 122, 332-340. https://doi.org/10.1016/j.procbio.2022.10.025

Harvey, C. M., Cavanagh, A. P., Kim, S. Y., Wright, D. A., Edquilang, R. G., Shreeves, K. S., Perdomo, J. A., Spalding, M. H., Ort, D. R., Bernacchi, C. J., & Huber, S. C. (2022). Removal of redox-sensitive Rubisco Activase does not alter Rubisco regulation in soybean. Photosynthesis research, 154(2), 169-182. https://doi.org/10.1007/s11120-022-00962-3

Zhang, Z., & Zhao, H. (2022). Tunnel engineering enables multifaceted improvements in halogenase. Chem Catalysis, 2(10), 2432-2434. https://doi.org/10.1016/j.checat.2022.09.010

Zhang, Y., Li, K., Zhao, Y., Shi, W., Iyer, H., Kim, S., Brenden, C., Sweedler, J. V., & Vlasov, Y. (2022). Attomole-Level Multiplexed Detection of Neurochemicals in Picoliter Droplets by On-Chip Nanoelectrospray Ionization Coupled to Mass Spectrometry. Analytical Chemistry, 94(40), 13804-13809. https://doi.org/10.1021/acs.analchem.2c02323

Dilmurat, K., Sagan, V., Maimaitijiang, M., Moose, S., & Fritschi, F. B. (2022). Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data. Remote Sensing, 14(19), [4786]. https://doi.org/10.3390/rs14194786

Bhavya, B., Chen, S., Zhang, Z., Li, W., Zhai, C., Angrave, L., & Huang, Y. (2022). Exploring collaborative caption editing to augment video-based learning. Educational Technology Research and Development, 70(5), 1755-1779. https://doi.org/10.1007/s11423-022-10137-5

Ali, A., Davidson, S., Fraenkel, E., Gilmore, I., Hankemeier, T., Kirwan, J. A., Lane, A. N., Lanekoff, I., Larion, M., McCall, L. I., Murphy, M., Sweedler, J. V., & Zhu, C. (2022). Single cell metabolism: current and future trends. Metabolomics, 18(10), [77]. https://doi.org/10.1007/s11306-022-01934-3

Lee, Y. G., Kim, C., Kuanyshev, N., Kang, N. K., Fatma, Z., Wu, Z. Y., Cheng, M. H., Singh, V., Yoshikuni, Y., Zhao, H., & Jin, Y. S. (2022). Cas9-Based Metabolic Engineering of Issatchenkia orientalis for Enhanced Utilization of Cellulosic Hydrolysates. Journal of Agricultural and Food Chemistry, 70(38), 12085-12094. https://doi.org/10.1021/acs.jafc.2c04251

Acevedo-Siaca, L. G., Głowacka, K., Driever, S. M., Salesse-Smith, C. E., Lugassi, N., Granot, D., Long, S. P., & Kromdijk, J. (2022). Guard-cell-targeted overexpression of Arabidopsis Hexokinase 1 can improve water use efficiency in field-grown tobacco plants. Journal of experimental botany, 73(16), 5745-5757. https://doi.org/10.1093/jxb/erac218

Liu, X., & Milenkovic, O. (2022). Finding the second-best candidate under the Mallows model. Theoretical Computer Science, 929, 39-68. https://doi.org/10.1016/j.tcs.2022.06.029

Zhao, S., Jiang, M., Qin, B., Liu, T., Zhai, C., & Wang, F. (2022). Structural and Textual Information Fusion for Symptom and Disease Representation Learning. IEEE Transactions on Knowledge and Data Engineering, 34(9), 4468-4483. https://doi.org/10.1109/TKDE.2020.3039469

Lee, C. J., Schnieders, J. H., Rubakhin, S. S., Patel, A. V., Liu, C., Naji, A., & Sweedler, J. V. (2022). d-Amino Acids and Classical Neurotransmitters in Healthy and Type 2 Diabetes-Affected Human Pancreatic Islets of Langerhans. Metabolites, 12(9), [799]. https://doi.org/10.3390/metabo12090799

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Huang, X., Feng, J., Cui, J., Jiang, G., Harrison, W., Zang, X., Zhou, J., Wang, B., & Zhao, H. (2022). Photoinduced chemomimetic biocatalysis for enantioselective intermolecular radical conjugate addition. Nature Catalysis, 5(7), 586-593. https://doi.org/10.1038/s41929-022-00777-4

Xu, Y., Yang, J., Li, W., Song, S., Shi, Y., Wu, L., Sun, J., Hou, M., Wang, J., Jia, X., Zhang, H., Huang, M., Lu, T., Gan, J., & Feng, Y. (2022). Three enigmatic BioH isoenzymes are programmed in the early stage of mycobacterial biotin synthesis, an attractive anti-TB drug target. PLoS pathogens, 18(7 July), [e1010615]. https://doi.org/10.1371/journal.ppat.1010615

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Lee, Y. G., Kim, B. Y., Bae, J. M., Wang, Y., & Jin, Y. S. (2022). Genome-edited Saccharomyces cerevisiae strains for improving quality, safety, and flavor of fermented foods. Food Microbiology, 104, [103971]. https://doi.org/10.1016/j.fm.2021.103971

Melzer, M. E., Sweedler, J. V., & Clark, K. D. (2022). Rapid Determination of RNA Modifications in Consensus Motifs by Nuclease Protection with Ion-Tagged Oligonucleotide Probes and Matrix-Assisted Laser Desorption Ionization Mass Spectrometry. Genes, 13(6), [1008]. https://doi.org/10.3390/genes13061008

Feid, S. C., Walukiewicz, H. E., Wang, X., Nakayasu, E. S., Rao, C. V., & Wolfe, A. J. (2022). Regulation of Translation by Lysine Acetylation in Escherichia coli. mBio, 13(3). https://doi.org/10.1128/mbio.01224-22

Murphy, S. E., & Sweedler, J. V. (2022). Metabolomics-based mass spectrometry methods to analyze the chemical content of 3D organoid models. Analyst, 147(13), 2918-2929. https://doi.org/10.1039/d2an00599a

Dilmurat, K., Sagan, V., & Moose, S. (2022). Ai-driven maize yield forecasting using unmanned aerial vehicle-based hyperspectral and lidar data fusion. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 5(3), 193-199. https://doi.org/10.5194/isprs-Annals-V-3-2022-193-2022

Jagtap, S. S., Liu, J. J., Walukiewicz, H. E., Pangilinan, J., Lipzen, A., Ahrendt, S., Koriabine, M., Cobaugh, K., Salamov, A., Yoshinaga, Y., Ng, V., Daum, C., Grigoriev, I. V., Slininger, P. J., Dien, B. S., Jin, Y. S., & Rao, C. V. (2022). Near-Complete Genome Sequence of Zygosaccharomyces rouxii NRRL Y-64007, a Yeast Capable of Growing on Lignocellulosic Hydrolysates. Microbiology Resource Announcements, 11(5). https://doi.org/10.1128/mra.00050-22

He, Y., Jaiswal, D., Liang, X. Z., Sun, C., & Long, S. P. (2022). Perennial biomass crops on marginal land improve both regional climate and agricultural productivity. GCB Bioenergy, 14(5), 558-571. https://doi.org/10.1111/gcbb.12937

Sharma, B. P., Zhang, N., Lee, D. K., Heaton, E., Delucia, E. H., Sacks, E. J., Kantola, I. B., Boersma, N. N., Long, S. P., Voigt, T. B., & Khanna, M. (2022). Responsiveness of miscanthus and switchgrass yields to stand age and nitrogen fertilization: A meta-regression analysis. GCB Bioenergy, 14(5), 539-557. https://doi.org/10.1111/gcbb.12929

Maitra, S., Long, S. P., & Singh, V. (2022). Optimizing Chemical-Free Pretreatment for Maximizing Oil/Lipid Recovery From Transgenic Bioenergy Crops and Its Rapid Analysis Using Time Domain-NMR. Frontiers in Energy Research, 10, [840418]. https://doi.org/10.3389/fenrg.2022.840418

Harrison, W., Huang, X., & Zhao, H. (2022). Photobiocatalysis for Abiological Transformations. Accounts of chemical research, 55(8), 1087-1096. https://doi.org/10.1021/acs.accounts.1c00719

Xie, Y. R., Castro, D. C., Rubakhin, S. S., Sweedler, J. V., & Lam, F. (2022). Enhancing the Throughput of FT Mass Spectrometry Imaging Using Joint Compressed Sensing and Subspace Modeling. Analytical Chemistry, 94(13), 5335-5343. https://doi.org/10.1021/acs.analchem.1c05279

Kang, N. K., Kim, M., Baek, K., Chang, Y. K., Ort, D. R., & Jin, Y. S. (2022). Photoautotrophic organic acid production: Glycolic acid production by microalgal cultivation. Chemical Engineering Journal, 433, [133636]. https://doi.org/10.1016/j.cej.2021.133636

Cavanagh, A. P., South, P. F., Bernacchi, C. J., & Ort, D. R. (2022). Alternative pathway to photorespiration protects growth and productivity at elevated temperatures in a model crop. Plant Biotechnology Journal, 20(4), 711-721. https://doi.org/10.1111/pbi.13750

Bodhankar, G. A., Tohidifar, P., Foust, Z. L., Ordal, G. W., & Rao, C. V. (2022). Characterization of Opposing Responses to Phenol by Bacillus subtilis Chemoreceptors. Journal of bacteriology, 204(4). https://doi.org/10.1128/jb.00441-21

Clark, K. D., Rubakhin, S. S., & Sweedler, J. V. (2022). Characterizing RNA Modifications in Single Neurons using Mass Spectrometry. Journal of Visualized Experiments, 2022(182), [e63940]. https://doi.org/10.3791/63940

Wu, YF., Toba, E. A. D. L., Dvoretskiy, S., Jung, R., Kim, N., Daniels, L., Romanova, E. V., Drnevich, J., Sweedler, J. V., & Boppart, M. D. (Accepted/In press). Development of a cell‐free strategy to recover aged skeletal muscle after disuse. The Journal of Physiology. https://doi.org/10.1113/JP282867

Tabatabaei, S. K., Pham, B., Pan, C., Liu, J., Chandak, S., Shorkey, S. A., Hernandez, A. G., Aksimentiev, A., Chen, M., Schroeder, C. M., & Milenkovic, O. (2022). Expanding the Molecular Alphabet of DNA-Based Data Storage Systems with Neural Network Nanopore Readout Processing. Nano letters, 22(5), 1905-1914. https://doi.org/10.1021/acs.nanolett.1c04203

Tran, V. G., & Zhao, H. (2022). Engineering robust microorganisms for organic acid production. Journal of Industrial Microbiology and Biotechnology, 49(2), [kuab067]. https://doi.org/10.1093/jimb/kuab067

Zhao, H., & Enghiad, B. (2022). Programmable DNA-guided artificial restriction enzymes. (U.S. Patent No. 11261483).

Kwak, S., Robinson, S. J., Lee, J. W., Lim, H., Wallace, C. L., & Jin, Y. S. (2022). Dissection and enhancement of prebiotic properties of yeast cell wall oligosaccharides through metabolic engineering. Biomaterials, 282, [121379]. https://doi.org/10.1016/j.biomaterials.2022.121379

Kang, N. K., Lee, J. W., Ort, D. R., & Jin, Y. S. (2022). L-malic Acid Production from Xylose by Engineered Saccharomyces Cerevisiae. Biotechnology Journal, 17(3), [2000431]. https://doi.org/10.1002/biot.202000431

Ding, W., Meng, Q., Dong, G., Qi, N., Zhao, H., & Shi, S. (2022). Metabolic engineering of threonine catabolism enables Saccharomyces cerevisiae to produce propionate under aerobic conditions. Biotechnology Journal, 17(3), [2100579]. https://doi.org/10.1002/biot.202100579

Seo, S. O., & Jin, Y. S. (2022). Next-Generation Genetic and Fermentation Technologies for Safe and Sustainable Production of Food Ingredients: Colors and Flavorings. Annual Review of Food Science and Technology, 13, 463-488. https://doi.org/10.1146/annurev-food-052720-012228

Liang, J., Zhang, H., Tan, Y. L., Zhao, H., & Ang, E. L. (2022). Directed Evolution of Replication-Competent Double-Stranded DNA Bacteriophage toward New Host Specificity. ACS synthetic biology, 11(2), 634-643. https://doi.org/10.1021/acssynbio.1c00319

Procópio, D. P., Kendrick, E., Goldbeck, R., Damasio, A. R. D. L., Franco, T. T., Leak, D. J., Jin, Y. S., & Basso, T. O. (2022). Xylo-Oligosaccharide Utilization by Engineered Saccharomyces cerevisiae to Produce Ethanol. Frontiers in Bioengineering and Biotechnology, 10, [825981]. https://doi.org/10.3389/fbioe.2022.825981

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Fu, P., Jaiswal, D., McGrath, J. M., Wang, S., Long, S. P., & Bernacchi, C. J. (2022). Drought imprints on crops can reduce yield loss: Nature's insights for food security. Food and Energy Security, 11(1), [e332]. https://doi.org/10.1002/fes3.332

Taylor, S. H., Gonzalez-Escobar, E., Page, R., Parry, M. A. J., Long, S. P., & Carmo-Silva, E. (2022). Faster than expected Rubisco deactivation in shade reduces cowpea photosynthetic potential in variable light conditions. Nature plants, 8(2), 118-124. https://doi.org/10.1038/s41477-021-01068-9

Kang, N. K., Baek, K., Koh, H. G., Atkinson, C. A., Ort, D. R., & Jin, Y. S. (2022). Microalgal metabolic engineering strategies for the production of fuels and chemicals. Bioresource Technology, 345, [126529]. https://doi.org/10.1016/j.biortech.2021.126529

Lee, Y. G., Kim, C., Sun, L., Lee, T. H., & Jin, Y. S. (2022). Selective production of retinol by engineered Saccharomyces cerevisiae through the expression of retinol dehydrogenase. Biotechnology and bioengineering, 119(2), 399-410. https://doi.org/10.1002/bit.28004

Allison, J. T., Cardin, M. A., McComb, C., Ren, M. Y., Selva, D., Tucker, C., Witherell, P., & Zhao, Y. F. (2022). Special Issue: Artificial Intelligence and Engineering Design. Journal of Mechanical Design, Transactions of the ASME, 144(2), [020301].

Rin Kim, S., Kim, S. J., Kim, S. K., Seo, S. O., Park, S., Shin, J., Kim, J. S., Park, B. R., Jin, Y. S., Chang, P. S., & Park, Y. C. (2022). Yeast metabolic engineering for carbon dioxide fixation and its application. Bioresource Technology, 346, [126349]. https://doi.org/10.1016/j.biortech.2021.126349

Choi, H. J., Jin, Y. S., & Lee, W. H. (2022). Effects of Engineered Saccharomyces cerevisiae Fermenting Cellobiose through Low-Energy-Consuming Phosphorolytic Pathway in Simultaneous Saccharification and Fermentation. Journal of Microbiology and Biotechnology, 32(1), 117-125. https://doi.org/10.4014/jmb.2111.11047

Zhang, Y., Kim, S., Shi, W., Zhao, Y., Park, I., Brenden, C., Iyer, H., Jha, P., Bashir, R., Sweedler, J. V., & Vlasov, Y. (2022). Droplet-assisted electrospray phase separation using an integrated silicon microfluidic platform. Lab on a chip, 22(1), 40-46. https://doi.org/10.1039/d1lc00758k

Lim, C. K. W., & Gaj, T. (2022). Genome Editing and CRISPR Technology. In Encyclopedia of Cell Biology: Volume 1-6, Second Edition (Vol. 1, pp. 650-656). Elsevier. https://doi.org/10.1016/B978-0-12-821618-7.00104-8

Shameer, S., Wang, Y., Bota, P., Ratcliffe, R. G., Long, S. P., & Sweetlove, L. J. (2022). A hybrid kinetic and constraint-based model of leaf metabolism allows predictions of metabolic fluxes in different environments. Plant Journal, 109(1), 295-313. https://doi.org/10.1111/tpj.15551

Smith, P., Beaumont, L., Bernacchi, C. J., Byrne, M., Cheung, W., Conant, R. T., Cotrufo, F., Feng, X., Janssens, I., Jones, H., Kirschbaum, M. U. F., Kobayashi, K., LaRoche, J., Luo, Y., McKechnie, A., Penuelas, J., Piao, S., Robinson, S., Sage, R. F., ... Long, S. P. (2022). Essential outcomes for COP26. Global change biology, 28(1), 1-3. https://doi.org/10.1111/gcb.15926

Kim, H. W., Kim, N. K., Phillips, A. P. R., Parker, D. A., Liu, P., Whitaker, R. J., Rao, C. V., & Mackie, R. I. (2022). Genome Sequence of a Thermoacidophilic Methanotroph Belonging to the Verrucomicrobiota Phylum from Geothermal Hot Springs in Yellowstone National Park: A Metagenomic Assembly and Reconstruction. Microorganisms, 10(1), [142]. https://doi.org/10.3390/microorganisms10010142

Liu, J. M., Solem, C., Lu, T., & Jensen, P. R. (2022). Harnessing lactic acid bacteria in synthetic microbial consortia. Trends in Biotechnology, 40(1), 8-11. https://doi.org/10.1016/j.tibtech.2021.09.002

Powell, J. E., Lim, C. K. W., Krishnan, R., McCallister, T. X., Saporito-Magriña, C., Zeballos, M. A., McPheron, G. D., & Gaj, T. (2022). Targeted gene silencing in the nervous system with CRISPR-Cas13. Science Advances, 8(3), [eabk2485]. https://doi.org/10.1126/sciadv.abk2485

Lee, M. S., Boyd, R. A., & Ort, D. R. (2022). The photosynthetic response of C3 and C4 bioenergy grass species to fluctuating light. GCB Bioenergy, 14(1), 37-53. https://doi.org/10.1111/gcbb.12899

De La Toba, E. A., Anapindi, K. D. B., & Sweedler, J. V. (Accepted/In press). Assessment and Comparison of Database Search Engines for Peptidomic Applications. Journal of Proteome Research. https://doi.org/10.1021/acs.jproteome.2c00307

Taylor, S. H., Gonzalez-Escobar, E., Page, R., Parry, M. A. J., Long, S. P., & Carmo-Silva, E. (Accepted/In press). Author Correction: Faster than expected Rubisco deactivation in shade reduces cowpea photosynthetic potential in variable light conditions (Nature Plants, (2022), 8, 2, (118-124), 10.1038/s41477-021-01068-9). Nature plants. https://doi.org/10.1038/s41477-022-01243-6

Pan, C., Gabrys, R., Liu, X., Colbourn, C., & Milenkovic, O. (2022). Balanced and Swap-Robust Trades for Dynamical Distributed Storage. In 2022 IEEE International Symposium on Information Theory, ISIT 2022 (pp. 2385-2390). (IEEE International Symposium on Information Theory - Proceedings; Vol. 2022-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT50566.2022.9834794

Lochocki, E. B., Rohde, S., Jaiswal, D., Matthews, M. L., Miguez, F., Long, S. P., & McGrath, J. M. (2022). BioCro II: A software package for modular crop growth simulations. In Silico Plants, 4(1), [diac003]. https://doi.org/10.1093/insilicoplants/diac003

Orr, J. S., Zen, E., Wang, X., & Rao, C. V. (Accepted/In press). Emulsion-based evolution of Escherichia coli for higher growth yield on D-xylose identifies central role of cyclic AMP. Systems Microbiology and Biomanufacturing. https://doi.org/10.1007/s43393-022-00136-1

Dey, P., & Zhai, C. X. (2022). Fine Grained Categorization of Drug Usage Tweets. In G. Meiselwitz (Ed.), Social Computing and Social Media: Design, User Experience and Impact - 14th International Conference, SCSM 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings (pp. 267-280). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13315 LNCS). Springer. https://doi.org/10.1007/978-3-031-05061-9_19

Tan, L. R., Liu, J. J., Deewan, A., Lee, J. W., Xia, P. F., Rao, C. V., Jin, Y. S., & Wang, S. G. (2022). Genome-wide transcriptional regulation in Saccharomyces cerevisiae in response to carbon dioxide. FEMS yeast research, 22(1), [foac032]. https://doi.org/10.1093/femsyr/foac032

Rubakhin, S. S., Romanova, E. V., & Sweedler, J. V. (2022). High-Throughput Image-Guided Microprobe Mass Spectrometric Analysis of Single Cells. In Neuromethods (pp. 115-163). (Neuromethods; Vol. 184). Humana Press Inc.. https://doi.org/10.1007/978-1-0716-2525-5_6

Xiong, X., Tasan, I., Yang, C., Zhang, M., Hernandez Gonzalez, G. A., Liu, S., Chaturvedi, P., Belmont, A. S., & Zhao, H. (Accepted/In press). Imaging Method Using CRISPR/dCas9 and Engineered gRNA Scaffolds Can Perturb Replication Timing at the HSPA1 Locus. ACS synthetic biology. https://doi.org/10.1021/acssynbio.2c00433

Long, S. P., Taylor, S. H., Burgess, S. J., Carmo-Silva, E., Lawson, T., De Souza, A. P., Leonelli, L., & Wang, Y. (2022). Into the Shadows and Back into Sunlight: Photosynthesis in Fluctuating Light. Annual Review of Plant Biology, 73, 617-648. https://doi.org/10.1146/annurev-arplant-070221-024745

Anapindi, K. D. B., Romanova, E. V., Checco, J. W., & Sweedler, J. V. (2022). Mass Spectrometry Approaches Empowering Neuropeptide Discovery and Therapeutics. Pharmacological Reviews, 74(3), 662-679. https://doi.org/10.1124/pharmrev.121.000423

De La Toba, E. A., Bell, S. E., Romanova, E. V., & Sweedler, J. V. (2022). Mass Spectrometry Measurements of Neuropeptides: From Identification to Quantitation. Annual Review of Analytical Chemistry, 15, 83-106. https://doi.org/10.1146/annurev-anchem-061020-022048

Zhang, L., Chen, Y., & Belmont, A. S. (2022). Measuring Cytological Proximity of Chromosomal Loci to Defined Nuclear Compartments with TSA-seq. In Methods in Molecular Biology (pp. 145-186). (Methods in Molecular Biology; Vol. 2532). Humana Press Inc.. https://doi.org/10.1007/978-1-0716-2497-5_8

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Labhishetty, S., & Zhai, C. X. (2022). RATE: A Reliability-Aware Tester-Based Evaluation Framework of User Simulators. In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Nørvåg, & V. Setty (Eds.), Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Proceedings (pp. 336-350). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13185 LNCS). Springer. https://doi.org/10.1007/978-3-030-99736-6_23

Bhattacharyya, A., Peddada, S. R. T., Bello, W. B., Zeidner, L. E., Allison, J. T., & James, K. A. (2022). Simultaneous 3D Component Packing and Routing Optimization Using Geometric Projection. In AIAA SciTech Forum 2022 [AIAA 2022-2096] (AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022). American Institute of Aeronautics and Astronautics Inc, AIAA. https://doi.org/10.2514/6.2022-2096

Matthews, M. L., Marshall-Colón, A., McGrath, J. M., Lochocki, E. B., & Long, S. P. (2022). Soybean-BioCro: A semi-mechanistic model of soybean growth. In Silico Plants, 4(1), [diab032]. https://doi.org/10.1093/insilicoplants/diab032

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Bello, W. B., Peddada, S. R. T., Bhattacharyya, A., Jennings, M., Katragadda, S., James, K., & Allison, J. T. (2022). Underhood Spatial Packing and Routing of an Automotive Fuel Cell System (AFCS) Using 2D Geometric Projection. In AIAA SciTech Forum 2022 [AIAA 2022-0804] (AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022). American Institute of Aeronautics and Astronautics Inc, AIAA. https://doi.org/10.2514/6.2022-0804