FLIM Imaging of NAD(P)H to track metabolic changes of non-adherent leukemia cells using micro cell trapping arrays

Fluorescence lifetime imaging microscopy (FLIM) techniques are widely used in auto-fluorescence imaging to investigate dynamic metabolic states of the cells. Traditional FLIM imaging requires the cells to adhere to the coverslip to collect enough photons for FLIM data processing. Such conditions pose challenges to non-adherent cells, such as acute myeloid leukemia (AML) cells, because of cell motility. We developed a proto-type micro cell trapping array (MCTA) to immobilize cells in picoliter-size wells with location references. The array keeps non-adherent cells in referenced well locations, allows treatment on stage and re-imaging after time for ultimate cell segmentation analysis. Individual wells are analyzed by a pixel-based region-of-interest (ROI) to analyze cellular redox states. This single well trapping and analysis method allows to isolate treatment responses of a small number of cells, compare their range and predict early effect, which may have clinical applications in the context of cancer aggressiveness and treatment outcomes. We expanded the common intensity-based assay for cellular redox state by a Fluorescence Lifetime measurement, NAD(P)H-a2%, serving as an alternative metric. The new assay is flexible and can be applied to other non-adherent cell lines, expanding FLIM applications in both research and the clinic.

[1]  S. Morad,et al.  Tamoxifen magnifies therapeutic impact of ceramide in human colorectal cancer cells independent of p53. , 2013, Biochemical pharmacology.

[2]  C. Bloomfield,et al.  Clinical outcome of de novo acute myeloid leukaemia patients with normal cytogenetics is affected by molecular genetic alterations: a concise review , 2007, British journal of haematology.

[3]  Richard A. Stein,et al.  Molecular Imaging: FRET Microscopy and Spectroscopy, A. Periasamy, R.N. Day (Eds.). Oxford University Press Inc. (2005), Price GB £58.00, ISBN: 0-19-517720-6 , 2006 .

[4]  G. Lee,et al.  Monitoring of autophagy in Chinese hamster ovary cells using flow cytometry. , 2012, Methods.

[5]  A. Giuliano,et al.  Metabolism of short-chain ceramide by human cancer cells--implications for therapeutic approaches. , 2010, Biochemical Pharmacology.

[6]  G. Robertson,et al.  Systemic Delivery of Liposomal Short-Chain Ceramide Limits Solid Tumor Growth in Murine Models of Breast Adenocarcinoma , 2005, Clinical Cancer Research.

[7]  R. Day,et al.  Investigating protein-protein interactions in living cells using fluorescence lifetime imaging microscopy , 2011, Nature Protocols.

[8]  Horst Wallrabe,et al.  Investigation of prostate cancer cells using NADH and Tryptophan as biomarker: multiphoton FLIM-FRET microscopy , 2016, SPIE BiOS.

[9]  Horst Wallrabe,et al.  Imaging protein molecules using FRET and FLIM microscopy. , 2005, Current opinion in biotechnology.

[10]  S. Swerdlow WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues , 2017 .

[11]  Patrick Jenkins,et al.  Subcellular localization-dependent changes in EGFP fluorescence lifetime measured by time-resolved flow cytometry. , 2013, Biomedical optics express.

[12]  J. Swanson,et al.  Fluorescence resonance energy transfer-based stoichiometry in living cells. , 2002, Biophysical journal.

[13]  M. Kester,et al.  Development and use of ceramide nanoliposomes in cancer. , 2012, Methods in enzymology.

[14]  M. Cabot,et al.  Combinatorial therapies improve the therapeutic efficacy of nanoliposomal ceramide for pancreatic cancer , 2011, Cancer biology & therapy.

[15]  W. Becker,et al.  Probing metabolic states of differentiating stem cells using two-photon FLIM , 2016, Scientific Reports.

[16]  M. Cabot,et al.  Therapeutic Combination of Nanoliposomal Safingol and Nanoliposomal Ceramide for Acute Myeloid Leukemia , 2013 .

[17]  A. Periasamy,et al.  Förster resonance energy transfer microscopy and spectroscopy for localizing protein–protein interactions in living cells , 2013, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[18]  Bob Löwenberg,et al.  Review Articles (434 articles) , 2008 .

[19]  A. Lee,et al.  Rapid and label-free identification of single leukemia cells from blood in a high-density microfluidic trapping array by fluorescence lifetime imaging microscopy. , 2018, Lab on a chip.

[20]  Mark A Naivar,et al.  Expanding the potential of standard flow cytometry by extracting fluorescence lifetimes from cytometric pulse shifts , 2014, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[21]  A. Periasamy,et al.  Single‐cell redox states analyzed by fluorescence lifetime metrics and tryptophan FRET interaction with NAD(P)H , 2019, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[22]  Robert M. Clegg,et al.  Flim Microscopy in Biology and Medicine , 2009 .

[23]  Daisuke Nakada,et al.  Cell intrinsic and extrinsic regulation of leukemia cell metabolism , 2016, International Journal of Hematology.

[24]  Scott E McNeil,et al.  Rapid Distribution of Liposomal Short-Chain Ceramide in Vitro and in Vivo , 2008, Drug Metabolism and Disposition.

[25]  Horst Wallrabe,et al.  Segmented cell analyses to measure redox states of autofluorescent NAD(P)H, FAD & Trp in cancer cells by FLIM , 2018, Scientific Reports.

[26]  Yong Wang,et al.  A pumpless microfluidic device driven by surface tension for pancreatic islet analysis , 2016, Biomedical Microdevices.

[27]  Barry R. Masters,et al.  Fluorescence Lifetime Spectroscopy and Imaging: Principles and Applications in Biomedical Diagnostics , 2014 .

[28]  Natural Biomarkers for Cellular Metabolism: Biology, Techniques, and Applications , 2014 .

[29]  W. Becker Advanced Time-Correlated Single Photon Counting Applications , 2015 .

[30]  Daniel J Weisdorf,et al.  Acute Myeloid Leukemia. , 2015, The New England journal of medicine.

[31]  M. Cabot,et al.  Ceramide-based therapeutics for the treatment of cancer. , 2011, Anti-cancer agents in medicinal chemistry.

[32]  Yong Wang,et al.  A microfluidic array for real-time live-cell imaging of human and rodent pancreatic islets. , 2016, Lab on a chip.

[33]  Ronak Talati,et al.  Automated selection of regions of interest for intensity-based FRET analysis of transferrin endocytic trafficking in normal vs. cancer cells. , 2014, Methods.

[34]  Horst Wallrabe,et al.  Investigation of Mitochondrial Metabolic Response to Doxorubicin in Prostate Cancer Cells: An NADH, FAD and Tryptophan FLIM Assay , 2017, Scientific Reports.

[35]  S. Morad,et al.  Ceramide-orchestrated signalling in cancer cells , 2012, Nature Reviews Cancer.

[36]  Yusuf A. Hannun,et al.  Principles of bioactive lipid signalling: lessons from sphingolipids , 2008, Nature Reviews Molecular Cell Biology.

[37]  Xavier Intes,et al.  Non-Invasive In Vivo Imaging of Near Infrared-labeled Transferrin in Breast Cancer Cells and Tumors Using Fluorescence Lifetime FRET , 2013, PloS one.