Dr Kristen Feher

Dr Kristen Feher

Postdoctoral Research Fellow

South Australian Immunogenomics Cancer Institute

Faculty of Health and Medical Sciences

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Dr. Kristen Feher is a computational researcher in the Sweeney Lab at SAiGENCI. She has a particular interest in the intersection of technology and computational biology, as well as cell signalling. In the Sweeney lab, Dr. Feher is computationally investigating mRNA decay, with a particular focus on the NF-kB signalling pathway. In addition, she works on spatial transcriptomics methodology as well as supporting the lab in data analysis.

Prior to joining SAiGENCI, she worked as a computational scientist in the lab of Prof. Kat Gaus within Single Molecule Science at UNSW, analysing Single Molecule Localisation Microscopy imaging data of T cell receptor clustering response after activation. Prior to joining UNSW, she worked with Toralf Kaiser in the Flow Cytometry Core at the German Rheumatism Research Centre (DRFZ) in Berlin, in a commercial collaboration with A.P.E. Gmbh, a laser and electronics OEM. This collaboration investigated novel flow cytometry hardware, including calibration and pulse shape cytometry for label free cell analysis and sorting.

  • Journals
    Year Citation
    2024 Tan, C. W., Chen, J., Liu, N., Bhuva, D. D., Blick, T., Monkman, J., . . . Davis, M. J. (2024). In situ single-cell profiling sheds light on IFI27 localisation during SARS-CoV-2 infection. EBioMedicine, 101, 105016-1-105016-4.
    DOI
    2024 Bhuva, D. D., Tan, C. W., Salim, A., Marceaux, C., Pickering, M. A., Chen, J., . . . Davis, M. J. (2024). Library size confounds biology in spatial transcriptomics data. Genome Biology, 25(1), 99-1-99-10.
    DOI Scopus1 Europe PMC6
    2024 Filipe, E. C., Velayuthar, S., Philp, A., Nobis, M., Latham, S. L., Parker, A. L., . . . Cox, T. R. (2024). Tumor Biomechanics Alters Metastatic Dissemination of Triple Negative Breast Cancer via Rewiring Fatty Acid Metabolism. Advanced Science, 11(23), 2307963-1-2307963 -21.
    DOI Scopus2 Europe PMC1
    2021 Feher, K., Graus, M. S., Coelho, S., Farrell, M. V., Goyette, J., & Gaus, K. (2021). K-Neighbourhood Analysis: A Method for Understanding SMLM Images as Compositions of Local Neighbourhoods. Frontiers in Bioinformatics, 1, 14 pages.
    DOI
    2021 Kage, D., Heinrich, K., Volkmann, K. V., Kirsch, J., Feher, K., Giesecke-Thiel, C., & Kaiser, T. (2021). Multi-angle pulse shape detection of scattered light in flow cytometry for label-free cell cycle classification. Communications Biology, 4(1), 11 pages.
    DOI Scopus5 Europe PMC4
    2020 Feher, K., von Volkmann, K., Kirsch, J., Radbruch, A., Popien, J., & Kaiser, T. (2020). Response to Parks et al.: Multispectral Flow Cytometry: Unaddressed Issues and Recommendations for Improvement. Cytometry Part A, 97(12), 1278.
    DOI
    2020 Coelho, S., Baek, J., Graus, M. S., Halstead, J. M., Nicovich, P. R., Feher, K., . . . Gaus, K. (2020). Ultraprecise single-molecule localization microscopy enables in situ distance measurements in intact cells. Science Advances, 6(16), 9 pages.
    DOI Scopus53 Europe PMC27
    2020 Giesecke-Thiel, C., Feher, K., von Volkmann, K., Kirsch, J., Radbruch, A., & Kaiser, T. (2020). Response to: Comments on the publication “Determination of Background, Signal-to-Noise, and Dynamic Range of a Flow Cytometer: A Novel Practical Method for Instrument Characterization and Standardization” by Giesecke et al.. Cytometry Part A, 97(4), 429-430.
    DOI
    2019 Feher, K., Halstead, J. M., Goyette, J., & Gaus, K. (2019). Can single molecule localization microscopy detect nanoclusters in T cells?. Current Opinion in Chemical Biology, 51, 130-137.
    DOI Scopus10 Europe PMC7
    2019 Feher, K., von Volkmann, K., Kirsch, J., Radbruch, A., Popien, J., & Kaiser, T. (2019). Corrigendum: Multispectral flow cytometry: The consequences of increased light collection: Multispectral Flow Cytometry (Cytometry Part A, (2016), 89, 7, (681-689), 10.1002/cyto.a.22888). Cytometry Part A, 95(7), 803-804.
    DOI Scopus1
    2017 Giesecke, C., Feher, K., von Volkmann, K., Kirsch, J., Radbruch, A., & Kaiser, T. (2017). Determination of background, signal-to-noise, and dynamic range of a flow cytometer: A novel practical method for instrument characterization and standardization. Cytometry Part A, 91(11), 1104-1114.
    DOI Scopus23 Europe PMC10
    2016 Feher, K., von Volkmann, K., Kirsch, J., Radbruch, A., Popien, J., & Kaiser, T. (2016). Multispectral flow cytometry: The consequences of increased light collection. Cytometry Part A, 89(7), 681-689.
    DOI Scopus19 Europe PMC6
    2015 Kühn, K., Obata, T., Feher, K., Bock, R., Fernie, A. R., & Meyer, E. H. (2015). Complete mitochondrial complex I deficiency induces an up-regulation of respiratory fluxes that is abolished by traces of functional complex I. Plant Physiology, 168(4), 1537-1549.
    DOI Scopus90 Europe PMC59
    2014 Feher, K., Kirsch, J., Radbruch, A., Chang, H. D., & Kaiser, T. (2014). Cell population identification using fluorescence-minus-one controls with a one-class classifying algorithm. Bioinformatics, 30(23), 3372-3378.
    DOI Scopus26 Europe PMC10
    2014 Feher, K., Lisec, J., Römisch-Margl, L., Selbig, J., Gierl, A., Piepho, H. P., . . . Willmitzer, L. (2014). Deducing hybrid performance from parental metabolic profiles of young primary roots of maize by using a multivariate diallel approach. PLoS ONE, 9(1), 9 pages.
    DOI Scopus18 Europe PMC13
    2012 Feher, K., Whelan, J., & Müller, S. (2012). Exploring multicollinearity using a random matrix theory approach. Statistical Applications in Genetics and Molecular Biology, 11(3), 35 pages.
    DOI Scopus2 Europe PMC2
    2011 Jürchott, K., Guo, K. T., Catchpole, G., Feher, K., Willmitzer, L., Schichor, C., & Selbig, J. (2011). Comparison of metabolite profiles in U87 glioma cells and mesenchymal stem cells. BioSystems, 105(2), 130-139.
    DOI Scopus6 Europe PMC5
    2011 Feher, K., Whelan, J., & Mller, S. (2011). Assessing modularity using a random matrix theory approach. Statistical Applications in Genetics and Molecular Biology, 10(1), 36 pages.
    DOI Scopus4 Europe PMC1

  • Conference Papers
    Year Citation
    2012 Feher, K., Jürchott, K., & Selbig, J. (2012). Tailored strategies for the analysis of metabolomic data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7223 LNCS (pp. 82-89). Springer Berlin Heidelberg.
    DOI

  • Patents
    Year Citation
    2019 Feher, K., Kaiser, T., Von Volkmann, K., & Wolf, S. (2019). 10337975, Method and system for characterizing particles using a flow cytometer. US.

  • Preprint
    Year Citation
    2021 Feher, K. (2021). Comparing single cell datasets using DensityMorph.
    DOI
    2018 Coelho, S., Baek, J., Graus, M., Halstead, J., Nicovich, P., Feher, K., . . . Gaus, K. (2018). Single molecule localization microscopy with autonomous feedback loops for ultrahigh precision.
    DOI
  • Position: Postdoctoral Research Fellow
  • Phone: 83133156
  • Email: kristen.feher@adelaide.edu.au
  • Campus: West End Health Precinct
  • Building: AHMS - Adelaide Health and Medical Sciences, floor Ninth Floor
  • Org Unit: South Australian Immunogenomics Cancer Institute
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