Publications

Anwar Sunna

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Clark, M., Tepper, K., Petroll, K., Kumar, S., Sunna, A. & Maselko, M., 2022, Bioremediation of industrial pollutants by insects expressing a fungal laccase, ACS Synthetic Biology, 11, 1, p. 308-316.

Diaz, D., Vidal, X., Sunna, A. & Care, A., 2021, Bioengineering a light-responsive encapsulin nanoreactor: a potential tool for in vitro photodynamic therapy, ACS applied materials & interfaces. 13, 7, p. 7977-7986.

Rajendran, V. K., Bakthavathsalam, P., Bergquist, P. L. & Sunna, A., 2021, Smartphone technology facilitates point-of-care nucleic acid diagnosis: a beginner’s guide, Critical Reviews in Clinical Laboratory Sciences. 58, 2, p. 77-100 24.

Sunna, A. & Daniellou, R., 2020, Editorial catalysts: special issue on novel enzyme and whole-cell biocatalysts, Catalysts. 10, 9, p., 1088.

Kopp, D. & Sunna, A., 2020, Alternative carbohydrate pathways - enzymes, functions and engineering, Critical Reviews in Biotechnology, 40, 7, p. 895-912.

Petroll, K., Care, A., Bergquist, P.L. & Sunna, A., 2020, A novel framework for the cell-free enzymatic production of glucaric acid, Metabolic Engineering, 57, p. 162-173.

Bansal, R., Elgundi, Z., Goodchild, S.C., Care, A., Lord, M.S., Rodger, A. & Sunna, A., 2020, The effect of oligomerization on a solid-binding peptide binding to silica-based materials, Nanomaterials, 10, 1070.

Bansal, R., Elgundi, Z., Care, A., Goodchild, S.C., Lord, M.S., Rodger, A. & Sunna, A., 2020, Elucidating the binding mechanism of a novel silica-binding peptide, Biomolecules, 10, 4.

Potluri, P.R., Rajendran, V.K., Sunna, A. & Wang, Y., 2020, Rapid and specific duplex detection of methicillin-resistant Staphylococcus aureus genes by surface-enhanced Raman spectroscopy, Analyst, 145, p. 2789-2794.

Khatiwada, B., Hasan, M.T., Sun, A., Kamath, K.S., Mirzaei, M., Sunna, A. & Nevalainen, H., 2020, Proteomic response of Euglena gracilis to heavy metal exposure – Identification of key proteins involved in heavy metal tolerance and accumulation, Algal Research, 45, 101764.

Khatiwada, B., Hasan, M.T., Sun, A., Kamath, K.S., Mirzaei, M., Sunna, A. & Nevalainen, H., 2020, Probing the role of the chloroplasts in heavy metal tolerance and accumulation in Euglena gracilis, Microorganisms, 8, 115.

Nicki Packer

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Wongtrakul-Kish, K., Herbert, B. R. & Packer, N. H., 2021, Bisecting GlcNAc protein N-glycosylation is characteristic of human adipogenesis, Journal of Proteome Research. 20, 2, p. 1313-1327.

Moh, E. S. X. & Packer, N. H., 2021, Enzymatic azido-GalNAc-functionalized silk fibroin for click chemistry conjugation, Biomacromolecules. 22, 4, p. 1752-1755.

Thaysen-Andersen, M., Kolarich, D. & Packer, N. H., 2021, Glycomics & glycoproteomics: from analytics to function, Molecular omics. 17, 1, p. 8-10.

Zhang, W., Jiang, L., Diefenbach, R. J., Campbell, D. H., Walsh, B. J., Packer, N. H. & Wang, Y., 2020, Enabling sensitive phenotypic profiling of cancer-derived small extracellular vesicles using surface-enhanced Raman spectroscopy nanotags, ACS Sensors, 5, 3, p. 764-771.

Iqbal, S., Parker, L. M., Everest Dass, A. V., Moh, E. S. X., Sayyadi, N., Hutchinson, M. R. & Packer, N. H., 2020, Lipopolysaccharide and morphine-3-glucuronide-induced immune signalling increases the expression of polysialic acid in PC12 Cells, Molecular Neurobiology, 57, 2, p. 964-975.

Moh, E. S. X., Sayyadi, N. & Packer, N. H., 2019, Chemoenzymatic glycan labelling as a platform for site-specific IgM-antibody drug conjugates, Analytical Biochemistry, 584, 113385.

Chong, R. W. W., Ball, M., McRae, C. & Packer, N. H., 2019, Comparing the chemical composition of dietary fibres prepared from sugarcane, psyllium husk and wheat dextrin, Food Chemistry, 298, 125032.

Briggs, M. T., Condina, M. R., Ho, Y. Y., Everest-Dass, A. V., Mittal, P., Kaur, G., Oehler, M. K., Packer, N. H. & Hoffmann, P., 2019, MALDI mass spectrometry imaging of early- and late-stage serous ovarian cancer tissue reveals stage-specific N-glycans, Proteomics, 19, 21-22, 1800482.

De Oliveira, D. M. P., Everest-Dass, A., Hartley-Tassell, L., Day, C. J., Indraratna, A., Brouwer, S., Cleary, A., Kautto, L., Gorman, J., Packer, N. H., Jennings, M. P., Walker, M. J. & Sanderson-Smith, M. L., 2019, Human glycan expression patterns influence Group A streptococcal colonization of epithelial cells, FASEB journal, 33, 10, 10808-10818.

Hinneburg, H., Chatterjee, S., Schirmeister, F., Nguyen-Khuong, T., Packer, N. H., Rapp, E. & Thaysen-Andersen, M. 2019. Post-column make-up flow (PCMF) enhances the performance of capillary-flow PGC-LC-MS/MS-based glycomics. Analytical Chemistry, doi: 10.1021/acs.analchem.8b05720I

Lin, C-H., Peterson, R. A., Gueniche, A., de Beaumais, S. A., Hourblin, V., Breton, L., Dalko, M. & Packer, N. H. 2019. Differential involvement of glycans in the binding of Staphylococcus epidermidis and Corynebacterium spp. to human sweat, Microbiological Research. 220, 53-60.

Alocci, D., Mariethoz, J., Gastaldello, A., Gasteiger, E., Karlsson, N. G., Kolarich, D., Packer, N. H. & Lisacek, F. 2019. GlyConnect: glycoproteomics goes visual, interactive, and analytical, Journal of Proteome Research. 18, 2, 664-677.

Ian Paulsen

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Nielsen, D. A., Fierer, N., Geoghegan, J. L., Gillings, M. R., Gumerov, V., Madin, J. S., Moore, L., Paulsen, I. T., Reddy, T. B. K., Tetu, S. G. & Westoby, M., 2021, Aerobic bacteria and archaea tend to have larger and more versatile genomes, Oikos. 130, 4, p. 501-511.

Westoby, M., Nielsen, D. A., Gillings, M. R., Litchman, E., Madin, J. S., Paulsen, I. T. & Tetu, S. G., 2021, Cell size, genome size, and maximum growth rate are near-independent dimensions of ecological variation across bacteria and archaea, Ecology and Evolution. 21 p. https://doi.org/10.1002/ece3.7290

Vick, S. H. W., Greenfield, P., Tetu, S. G., Midgley, D. J. & Paulsen, I. T., 2021, Draft genome sequence of Dietzia sp. Strain SYD-A1, isolated from coal seam formation water, Microbiology Resource Announcements. 10, 10, 3 p., e01341-20.

Fabian, B. K., Foster, C., Asher, A. J., Elbourne, L. D. H., Cain, A. K., Hassan, K. A., Tetu, S. G. & Paulsen, I. T., 2021, Elucidating essential genes in plant-associated Pseudomonas protegens Pf-5 using transposon insertion sequencing, Journal of Bacteriology. 203, 7, p. 1-17, e00432-20.

Westoby, M., Nielsen, D. A., Gillings, M. R., Litchman, E., Madin, J. S., Paulsen, I. T. & Tetu, S. G., 2021, Cell size, genome size, and maximum growth rate are near-independent dimensions of ecological variation across bacteria and archaea, Ecology and Evolution. 21 p.

Fabian, B. K., Tetu, S. G. & Paulsen, I. T., 2020, Application of transposon insertion sequencing to agricultural science, Frontiers in Plant Science, 11, p. 1-15.

Alquethamy, S. F., Adams, F. G., Naidu, V., Khorvash, M., Pederick, V. G., Zang, M., Paton, J. C., Paulsen, I. T., Hassan, K. A., Cain, A. K., McDevitt, C. A. & Eijkelkamp, B. A., 2020, The role of zinc efflux during Acinetobacter baumannii infection, ACS Infectious Diseases, 6, 1, p. 150-158.

Fabian, B. K., Tetu, S. G. & Paulsen, I. T., 2020, Application of transposon insertion sequencing to agricultural science, Frontiers in Plant Science, 11, 291.

Vick, S. H. W., Greenfield, P., Tetu, S. G., Midgley, D. J. & Paulsen, I. T., 2019, Genomic and phenotypic insights point to diverse ecological strategies by facultative anaerobes obtained from subsurface coal seams, Scientific Reports, 9, 16186.

Tetu, S. G., Sarker, I., Schrameyer, V., Pickford, R., Elbourne, L. D. H., Moore, L. R. & Paulsen, I. T., 2019, Plastic leachates impair growth and oxygen production in Prochlorococcus, the ocean's most abundant photosynthetic bacteria, Communications Biology, 2, 184.

Gilles Guillemin

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Leclerc, D., Staats Pires, A. C., Guillemin, G. J. & Gilot, D., 2021, Detrimental activation of AhR pathway in cancer: an overview of therapeutic strategies, Current Opinion in Immunology. 70, p. 15-26.

Lim, A., Harijanto, C., Vogrin, S., Guillemin, G. & Duque, G., 2021, Does exercise influence kynurenine/tryptophan metabolism and psychological outcomes in persons with age-related diseases? A systematic review, International Journal of Tryptophan Research. 14, p. 1-13.

Braidy, N., Alicajic, H., Pow, D., Smith, J., Jugder, B. E., Brew, B. J., Nicolazzo, J. A. & Guillemin, G. J., 2021, Potential mechanism of cellular uptake of the excitotoxin quinolinic acid in primary human neurons, Molecular Neurobiology. 58, 1, p. 34-54.

Chidambaram, S. B., Tuladhar, S., Bhat, A., Mahalakshmi, A. M., Ray, B., Essa, M. M., Bishir, M., Bolla, S. R., Nanjaiah, N. D., Guillemin, G. J. & Qoronfleh, M. W., 2020, Autism and gut–brain axis: role of probiotics, in Personalized food intervention and therapy for autism spectrum disorder management. Essa, M. M. & Qoronfleh, M. W. (eds.). Switzerland: Springer, p. 587-600 (Advances in Neurobiology; vol. 24).

Chidambaram, S. B., Bhat, A., Mahalakshmi, A. M., Ray, B., Tuladhar, S., Sushmitha, B. S., Saravanan, B., Thamilarasan, M., Thenmozhi, A. J., Essa, M. M., Guillemin, G. J. & Qoronfleh, M. W., 2020, Protein nutrition in autism in Personalized food intervention and therapy for autism spectrum disorder management. Essa, M. M. & Qoronfleh, M. W. (eds.). Switzerland: Springer, p. 573-586 14 p. (Advances in Neurobiology; vol. 24).

Chatterjee, P., Zetterberg, H., Goozee, K., Lim, C. K., Jacobs, K. R., Ashton, N. J., Hye, A., Pedrini, S., Sohrabi, H. R., Shah, T., Asih, P. R., Dave, P., Shen, K., Taddei, K., Lovejoy, D. B., Guillemin, G. J., Blennow, K. & Martins, R. N., 2019, Plasma neurofilament light chain and amyloid-β are associated with the kynurenine pathway metabolites in preclinical Alzheimer's disease, Journal of Neuroinflammation. 16, 1, 186.

Garcez, M. L., Jacobs, K. R. & Guillemin, G. J., 2019, Microbiota alterations in Alzheimer’s disease: involvement of the kynurenine pathway and inflammation, Neurotoxicity Research. 36, 2, p. 424-436.

Dehhaghi, M., Kazemi Shariat Panahi, H. & Guillemin, G. J., 2019, Microorganisms, tryptophan metabolism, and kynurenine pathway: a complex interconnected loop influencing human health status, International Journal of Tryptophan Research. 12, p. 1-10.

Paul Haynes

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Deng, L., Handler, D. C. L., Multari, D. H. & Haynes, P. A., 2021, Comparison of protein and peptide fractionation approaches in protein identification and quantification from Saccharomyces cerevisiae, Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences. 1162, 122453.

Deng, L., Gupta, V., Wu, Y., Maha Thananthirige, K. P., Chitranshi, N., Gupta, V. B., Fitzhenry, M. J., Moghaddam, M. Z., Karl, T., Salekdeh, G. H., Graham, S. L., Haynes, P. A. & Mirzaei, M., 2021, Mouse model of Alzheimer's disease demonstrates differential effects of early disease pathology on various brain regions, Proteomics, e2000213. doi: 10.1002/pmic.202000213

Handler, D. C. L. & Haynes, P. A., 2021, PeptideMind - applying machine learning algorithms to assess replicate quality in shotgun proteomic data, SoftwareX. 13, 100644.

Muralidharan, S., Poon, Y. Y., Wright, G. C., Haynes, P. A. & Lee, N. A., 2021, Quantitative proteomics analysis of high and low polyphenol expressing recombinant inbred lines (RILs) of peanut (Arachis hypogaea L.), Food Chemistry. 334, 127517.

Hamzelou, S., Pascovici, D., Kamath, K. S., Amirkhani, A., McKay, M., Mirzaei, M., Atwell, B. J. & Haynes, P. A., 2020, Proteomic responses to drought vary widely among eight diverse genotypes of rice (Oryza sativa), International Journal of Molecular Sciences, 21, 1, 363.

Khatabi, B., Gharechahi, J., Ghaffari, M. R., Liu, D., Haynes, P. A., McKay, M. J., Mirzaei, M. & Salekdeh, G. H., Aug 2019, Plant–microbe symbiosis: what has proteomics taught us? Proteomics. 19, 16, 1800105.

Wu, Y., Mirzaei, M., Pascovici, D., Haynes, P. A. & Atwell, B. J., May 2019, Proteomes of leaf-growing zones in rice genotypes with contrasting drought tolerance, Proteomics, 19, 9, 1800310.

Ghaffari, M. R., Mirzaei, M., Ghabooli, M., Khatabi, B., Wu, Y., Zabet-Moghaddam, M., Mohammadi-Nejad, G., Haynes, P. A., Hajirezaei, M. R., Sepehri, M. & Salekdeh, G. H. 2019. Root endophytic fungus Piriformospora indica improves drought stress adaptation in barley by metabolic and proteomic reprogramming, Environmental and Experimental Botany. 157, 197-210.

Rahiminejad, M., Ledari, M. T., Mirzaei, M., Ghorbanzadeh, Z., Kavousi, K., Ghaffari, M. R., Haynes, P. A., Komatsu, S. & Salekdeh, G. H., 2019. The quest for missing proteins in rice, Molecular Plant. 12, 1, 4-6.

Mirzaei, M., Maha Thananthirige, K. P., Deng, L., Chitranshi, N., Gupta, V., Rajput, R., Mangani, A. S., Dheer, Y., Godinez, A., McKay, M., Kamath, K., Pascovici, D., Wu, J. X., Salekdeh, G. H., Karl, T., Haynes, P. A., Graham, S. L. & Gupta, V. K., 2019. Upregulation of proteolytic pathways and altered protein biosynthesis underlie retinal pathology in a mouse model of Alzheimer’s disease, Molecular Neurobiology. 18 p., doi: 10.1007/s12035-019-1479-4.

Georgy Sofronov

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Raveendran, N. & Sofronov, G., 2021, A Markov chain Monte Carlo algorithm for spatial segmentation. Information (Switzerland). 12, 2, p. 1-14, 58.

Perryman, R. J. Y., Carpenter, M., Lie, E., Sofronov, G., Marshall, A. D. & Brown, C., 2021, Reef manta ray cephalic lobe movements are modulated during social interactions. Behavioral Ecology and Sociobiology. 75, 3, 51.

Sofronov, G., 2020, An optimal decision rule for a multiple selling problem with a variable rate of offers, Mathematics. 8, 5, 690.

Sofronov, G. Y., 2020, An optimal double stopping rule for a buying-selling problem, Methodology and Computing in Applied Probability. 22, 1, p. 1-12.

Ma, L. & Sofronov, G., 2020, Change-point detection in autoregressive processes via the Cross-Entropy method, Algorithms. 13, 5, 128.

Raveendran, N. & Sofronov, G., 2019, Identifying clusters in spatial data via sequential importance sampling, Recent advances in computational optimization: results of the Workshop on Computational Optimization WCO 2017. Fidanova, S. (ed.). Switzerland: Springer-VDI-Verlag GmbH & Co. KG, p. 175-189 15 p. (Studies in Computational Intelligence; vol. 795).

Manuguerra, M. & Sofronov, G., 2019, Which pathways lead to success? Transformation models and change-point detection for the early identification of students at risk, Proceedings of the 34th International Workshop on Statistical Modelling: Volume II. Meira-Machado, L. & Soutinho, G. (eds.). Guimaraes, Portugal, Vol. 2. p. 212-215.

Sofronov, G. Y., 2018, An optimal double stopping rule for a buying-selling problem, Methodology and Computing in Applied Probability, doi.org/10.1007/s11009-018-9684-6.

Morten Thaysen-Andersen

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Thaysen-Andersen, M., Kolarich, D. & Packer, N. H., 2021, Glycomics & glycoproteomics: from analytics to function, Molecular omics. 17, 1, p. 8-10.

Tjondro, H. C., Ugonotti, J., Kawahara, R., Chatterjee, S., Loke, I., Chen, S., Soltermann, F., Hinneburg, H., Parker, B. L., Venkatakrishnan, V., Dieckmann, R., Grant, O. C., Bylund, J., Rodger, A., Woods, R. J., Karlsson-Bengtsson, A., Struwe, W. B. & Thaysen-Andersen, M., 2021, Hyper-truncated Asn355- and Asn391-glycans modulate the activity of neutrophil granule myeloperoxidase, Journal of Biological Chemistry. 296, 100144.

Chatterjee, S., Kawahara, R., Tjondro, H. C., Shaw, D. R., Nenke, M. A., Torpy, D. J. & Thaysen-Andersen, M., 2021, Serum N-glycomics stratifies bacteremic patients infected with different pathogens, Journal of Clinical Medicine. 10, 3, 516.

Chernykh, A., Kawahara, R. & Thaysen-Andersen, M., 2021, Towards structure-focused glycoproteomics, Biochemical Society Transactions. 49, 1, p. 161-186.

Venkatakrishnan, V., Dieckmann, R., Loke, I., Tjondro, H., Chatterjee, S., Bylund, J., Thaysen-Andersen, M., Karlsson, N. G. & Karlsson-Bengtsson, A., 2020, Glycan analysis of human neutrophil granules implicates a maturation-dependent glycosylation machinery, The Journal of Biological Chemistry, 295, 36, p. 12648-12660.

Ugonotti, J., Tjondro, H. C., Kawahara, R., Chatterjee, S., Loke, I., Chen, S., Soltermann, F., Hinneburg, H., Parker, B. L., Venkatakrishnan, V., Dieckmann, R., Grant, O. C., Bylund, J., Rodger, A., Woods, R. J., Karlsson-Bengtsson, A., Struwe, W. B. & Thaysen-Andersen, M., 2020, Hyper-truncated n-acetyl-beta-d-glucosamine signatures augment the activity and inhibition potential of neutrophil granule myeloperoxidase, Glycobiology. 30, 12, p. 1120-1121.

Tjondro, H. C., Loke, I., Chatterjee, S. & Thaysen-Andersen, M., 2019, Human protein paucimannosylation: cues from the eukaryotic kingdoms, Biological Reviews, 94, 6, 2068-2100.

Chatterjee, S., Lee, L. Y., Kawahara, R., Abrahams, J. L., Adamczyk, B., Anugraham, M., Ashwood, C., Sumer-Bayraktar, Z., Briggs, M. T., Chik, J. H. L., Everest-Dass, A., Förster, S., Hinneburg, H., Leite, K. R. M., Loke, I., Möginger, U., Moh, E. S. X., Nakano, M., Recuero, S., Sethi, M. K. & 14 others, 2019, Protein paucimannosylation is an enriched N-glycosylation signature of human cancers, Proteomics, 19, 21-22, 1900010.

Bhatnagar, A., McKay, M. J., Thaysen-Andersen, M., Arasaratnam, M., Crumbaker, M., Gurney, H. & Molloy, M. P., 2019, Bioanalytical evaluation of dried plasma spots for monitoring of abiraterone and ∆(4)-abiraterone from cancer patients, Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences, 1126-1127, 121741.

Sasha Tetu

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Nielsen, D. A., Fierer, N., Geoghegan, J. L., Gillings, M. R., Gumerov, V., Madin, J. S., Moore, L., Paulsen, I. T., Reddy, T. B. K., Tetu, S. G. & Westoby, M., 2021, Aerobic bacteria and archaea tend to have larger and more versatile genomes, Oikos. 130, 4, p. 501-511.

Westoby, M., Nielsen, D. A., Gillings, M. R., Litchman, E., Madin, J. S., Paulsen, I. T. & Tetu, S. G., 2021, Cell size, genome size, and maximum growth rate are near-independent dimensions of ecological variation across bacteria and archaea, Ecology and Evolution. 21 p. https://doi.org/10.1002/ece3.7290

Vick, S. H. W., Greenfield, P., Tetu, S. G., Midgley, D. J. & Paulsen, I. T., 2021, Draft genome sequence of Dietzia sp. Strain SYD-A1, isolated from coal seam formation water, Microbiology Resource Announcements. 10, 10, e01341-20.

Fabian, B. K., Foster, C., Asher, A. J., Elbourne, L. D. H., Cain, A. K., Hassan, K. A., Tetu, S. G. & Paulsen, I. T., 2021, Elucidating essential genes in plant-associated Pseudomonas protegens Pf-5 using transposon insertion sequencing, Journal of Bacteriology. 203, 7, e00432-20.

Fabian, B. K., Tetu, S. G. & Paulsen, I. T., 2020, Application of transposon insertion sequencing to agricultural science, Frontiers in Plant Science, 11, 291.

Carthey, A. J. R., Blumstein, D. T., Gallagher, R. V., Tetu, S. G. & Gillings, M. R., 2020, Conserving the holobiont, Functional Ecology. 34, 4, p. 764-776.

Tetu, S. G., Sarker, I. & Moore, L. R., 2020, How will marine plastic pollution affect bacterial primary producers? Communications Biology. 3, 55.

Ghaly, T. M., Geoghegan, J. L., Tetu, S. G. & Gillings, M. R., 2020, (Accepted/In press) The peril and promise of integrons: beyond antibiotic resistance, Trends in Microbiology.

Vick, S. H. W., Greenfield, P., Tetu, S. G., Midgley, D. J. & Paulsen, I. T., 7 Nov 2019, Genomic and phenotypic insights point to diverse ecological strategies by facultative anaerobes obtained from subsurface coal seams, Scientific Reports, 9, 16186.

Tetu, S. G., Sarker, I., Schrameyer, V., Pickford, R., Elbourne, L. D. H., Moore, L. R. & Paulsen, I. T., 14 May 2019, Plastic leachates impair growth and oxygen production in Prochlorococcus, the ocean's most abundant photosynthetic bacteria, Communications Biology, 2, 184.

Vick, S. H. W., Greenfield, P., Pinetown, K. L., Sherwood, N., Gong, S., Tetu, S. G., Midgley, D. J. & Paulsen, I. T., 22 Feb 2019, Succession patterns and physical niche partitioning in microbial communities from subsurface coal seams, iScience, 12, p. 152-167.

Vick, S. H. W., Gong, S., Sestak, S., Vergara, T. J., Pinetown, K. L., Li, Z., Greenfield, P., Tetu, S. G., Midgley, D. J. & Paulsen, I. T., Jul 2019, Who eats what? Unravelling microbial conversion of coal to methane, FEMS Microbiology Ecology, 95, 7, fiz093.

Li, L., Tetu, S. G., Paulsen, I. T. & Hassan, K. A. 2018, A transcriptomic approach to identify novel drug efflux pumps in bacteria, Bacterial multidrug exporters: methods and protocols. Yamaguchi, A. & Nishino, K. (eds.). New York, NY: Humana Press Inc., Vol. 1700, p. 221-235, Methods in molecular biology; vol. 1700, Springer Protocols Handbooks.

Gamage, H. K. A. H., Tetu, S. G., Chong, R. W. W., Bucio-Noble, D., Rosewarne, C. P., Kautto, L., Ball, M. S., Molloy, M. P., Packer, N. H. & Paulsen, I. T. 2018, Fiber supplements derived from sugarcane stem, wheat dextrin and psyllium husk have different in vitro effects on the human gut microbiota, Frontiers in Microbiology. 9, 1-16.

Mavrodi, D. V., Mavrodi, O. V., Elbourne, L. D. H., Tetu, S., Bonsall, R. F., Parejko, J., Yang, M., Paulsen, I. T., Weller, D. M. & Thomashow, L. S. 2018, Long-term irrigation affects the dynamics and activity of the wheat rhizosphere microbiome, Frontiers in Plant Science. 9, 345, p. 1-15.

Ming Li

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Zhang, T., Namoto, M., Okano, K., Akita, E., Teranishi, N., Tang, T., Anggraini, D., Hao, Y., Tanaka, Y., Inglis, D., Yalikun, Y., Li, M. & Hosokawa, Y., 2021, Hydrodynamic particle focusing enhanced by femtosecond laser deep grooving at low Reynolds numbers, Scientific Reports. 11, 1652.

Liu, H., Xu, X., Peng, K., Zhang, Y., Jiang, L., Williams, T. C., Paulsen, I. T., Piper, J. A. & Li, M., 2021, Microdroplet enabled cultivation of single yeast cells correlates with bulk growth and reveals subpopulation phenomena, Biotechnology and Bioengineering. 118, 2, p. 647-658.

Gholizadeh, H., Ong, H. X., Bradbury, P., Kourmatzis, A., Traini, D., Young, P., Li, M. & Cheng, S., 2021, Real-time quantitative monitoring of in vitro nasal drug delivery by a nasal epithelial mucosa-on-a-chip model, Expert Opinion on Drug Delivery. 16 p. https//doi.org/10.1080/17425247.2021.1873274.

Zhang, T., Hong, Z-Y., Tang, S-Y., Li, W., Inglis, D. W., Hosokawa, Y., Yalikun, Y. & Li, M., 2020, Focusing of sub-micrometer particles in microfluidic devices, Lab on a Chip, 20, 1, p. 35-53.

Li, M., Anver, H. M. C. M., Zhang, Y., Tang, S-Y. & Li, W., 2019, Automatic morphology control of liquid metal using a combined electrochemical and feedback control approach, Micromachines, 10, 3, 209.

Yuan, D., Sluyter, R., Zhao, Q., Tang, S., Yan, S., Yun, G., Li, M., Zhang, J. & Li, W., 2019, Dean-flow-coupled elasto-inertial particle and cell focusing in symmetric serpentine microchannels, Microfluidics and Nanofluidics, 23, 3, 41.

Tang, S-Y., Wang, K., Fan, K., Feng, Z., Zhang, Y., Zhao, Q., Yun, G., Yuan, D., Jiang, L., Li, M. & Li, W., 2019, High-throughput, off-chip microdroplet generator enabled by a spinning conical frustum, Analytical Chemistry, 91, 5, p. 3725-3732.

Li, M., van Zee, M., Riche, C. T., Tofig, B., Gallaher, S. D., Merchant, S. S., Damoiseaux, R., Goda, K. & Di Carlo, D., 2018, A gelatin microdroplet platform for high-throughput sorting of hyperproducing single-cell-derived microalgal clones, Small, 14, 44, 1803315.

Lei, C., Kobayashi, H., Wu, Y., Li, M., Isozaki, A., Yasumoto, A., Mikami, H., Ito, T., Nitta, N., Sugimura, T., Yamada, M., Yatomi, Y., Di Carlo, D., Ozeki, Y. & Goda, K., 5 Jul 2018, High-throughput imaging flow cytometry by optofluidic time-stretch microscopy, Nature Protocols, 13, 7, p. 1603-1631.

Li, M., van Zee, M., Goda, K. & Di Carlo, D., 7 Sep 2018, Size-based sorting of hydrogel droplets using inertial microfluidics, Lab on a Chip, 18, 17, p. 2575-2582.

Fleur Ponton

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Morimoto, J., Nguyen, B., Lundbäck, I., Than, A. T., Tabrizi, S. T., Ponton, F. & Taylor, P. W., 2020, Effects of carbohydrate types on larval development and adult traits in a polyphagous fruit fly, Journal of Insect Physiology, 120, p. 1-8, 103969.

Ponton, F., Morimoto, J., Robinson, K., Kumar, S. S., Cotter, S. C., Wilson, K. & Simpson, S. J., 2020, Macronutrients modulate survival to infection and immunity in Drosophila, Journal of Animal Ecology, 89, 2, p. 460-470.

Morimoto, J., Nguyen, B., T. Tabrizi, S., Lundbäck, I., Taylor, P. W., Ponton, F. & Chapman, T. A., 2019, Commensal microbiota modulates larval foraging behaviour, development rate and pupal production in Bactrocera tryoni, BMC Microbiology, 19, 8 p., 286.

Mainali, B. P., Moadeli, T., Ponton, F. & Taylor, P. W., 2019, Comparison of gel larval diet with traditional lucerne chaff and carrot solid diets for rearing of Queensland fruit fly (Diptera: Tephritidae), Journal of economic entomology, 112, 5, p. 2278–2286.

Cotter, S. C., Reavey, C. E., Tummala, Y., Randall, J. L., Holdbrook, R., Ponton, F., Simpson, S. J., Smith, J. A. & Wilson, K., 2019, Diet modulates the relationship between immune gene expression and functional immune responses, Insect Biochemistry and Molecular Biology, 109, p. 128-141.

Ponton, F. & Morimoto, J., 2019, Nutrition and infectious disease, Encyclopedia of animal behavior, Choe, J. C. (ed.). 2nd ed. Amsterdam: Elsevier, p. 703-710.