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Single-Cell Technologies for Cancer Therapy

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Handbook of Single Cell Technologies

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Abstract

Routine sequencing techniques used in cancer diagnosis have primarily focused on bulk tissue genomic analysis. However, cell heterogeneity is a commonly observed phenomenon in several types of cancer, and the current methods do not properly disclose information of rare cell types that may contribute to the progression of the disease as well as play a role in drug resistance and metastasis. The lack of techniques for detecting differences in the genomic expression of a heterogeneous group of cells in clinical practice has been problematic for the selection of targeted therapies. Recent developments in single-cell analysis techniques in combination with next generation sequencing (NGS) are providing the tools to analyze and detect polymorphisms at the whole genome level of individual targeted cells. Moreover, single cell sequencing (SCS) analysis can assist in predicting cancer progression and be used as a diagnostic tool for early detection of cancer through circulating tumor cells (CTCs). In addition to the current methods used for SCS research, we also organize systems biology, pharmacy, multi-omics, bioinformatics, and deep leaning/AI-assisted clinical care, all of which, for meta-analysis, can take advantage of single-cell technology as the core source of information.

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References

  • Adams DL, Adams DK, He J, Kalhor N, Zhang M, Xu T, Gao H, Reuben JM, Qiao Y, Komaki R, Liao Z, Edelman MJ, Tang CM, Lin SH (2017) Sequential tracking of PD-L1 expression and RAD50 induction in circulating tumor and stromal cells of lung Cancer patients undergoing radiotherapy. Clin Cancer Res 23(19):5948–5958

    Article  Google Scholar 

  • Afshar P, Mohammadi A, Plataniotis KN (2018) Brain tumor type classification via capsule networks. https://arxiv.org/abs/1802.10200

  • Aguado LC, Schmid S, May J, Sabin LR, Panis M, Blanco-Melo D, Shim JV, Sachs D, Cherry S, Simon AE, Levraud JP, tenOever BR (2017) RNase III nucleases from diverse kingdoms serve as antiviral effectors. Nature 547(7661):114–117

    Article  Google Scholar 

  • Aguet F, Ardlie GK (2016) Tissue specificity of gene expression. Curr Genet Med Rep 4(4):163

    Article  Google Scholar 

  • Alix-Panabieres C, Pantel K (2016) Clinical applications of circulating tumor cells and circulating tumor DNA as liquid biopsy. Cancer Discov 6(5):479–491

    Article  Google Scholar 

  • AlJanahi AA, Danielsen M, Dunbar CE (2018) An introduction to the analysis of single-cell RNA-sequencing data. Mol Ther Methods Clin Dev 10:189–196

    Article  Google Scholar 

  • Azzopardi N, Lecomte T, Ternant D, Boisdron-Celle M, Piller F, Morel A, Gouilleux-Gruart V, Vignault-Desvignes C, Watier H, Gamelin E and Paintaud G (2011) Cetuximab Pharmacokinetics Influences Progression-Free Survival of Metastatic Colorectal Cancer Patients. https://doi.org/10.1158/1078-0432.CCR-11-1081

    Article  Google Scholar 

  • Baker MS, Ahn SB, Mohamedali A, Islam MT, Cantor D, Verhaert PD, Fanayan S, Sharma S, Nice, EC, Connor M, Ranganathan S (2017) Accelerating the search for the missing proteins in the human proteome. Nature Commun 8:14271

    Google Scholar 

  • Baral P, Umans BD, Li L, Wallrapp A, Bist M, Kirschbaum T, Wei Y, Zhou Y, Kuchroo VK, Burkett PR, Yipp BG, Liberles SD, Chiu IM (2018) Nociceptor sensory neurons suppress neutrophil and gammadelta T cell responses in bacterial lung infections and lethal pneumonia. Nat Med 24(4):417–426

    Article  Google Scholar 

  • Baslan T, Hicks J (2017) Unravelling biology and shifting paradigms in cancer with single-cell sequencing. Nat Rev Cancer 17(9):557–569

    Article  Google Scholar 

  • Behjati S, Lindsay S, Teichmann SA, Haniffa M (2018) Mapping human development at single-cell resolution. Development 145(3):dev152561

    Article  Google Scholar 

  • Belic J, Koch M, Ulz P, Auer M, Gerhalter T, Mohan S, Fischereder K, Petru E, Bauernhofer T, Geigl JB, Speicher MR, Heitzer E (2015) Rapid identification of plasma DNA samples with increased ctDNA levels by a modified FAST-SeqS approach. Clin Chem 61(6):838–849

    Article  Google Scholar 

  • Bystrykh LV, Belderbos ME (2016) Clonal analysis of cells with cellular barcoding: when numbers and sizes matter. Methods Mol Biol 1516:57–89

    Article  Google Scholar 

  • Cannoodt R, Saelens W, Saeys Y (2016) Computational methods for trajectory inference from single-cell transcriptomics. Eur J Immunol 46(11):2496–2506

    Article  Google Scholar 

  • Cermakova K, Hodges HC (2018) Next-generation drugs and probes for chromatin biology: from targeted protein degradation to phase separation. Molecules 23(8):1958

    Article  Google Scholar 

  • Chakraborty C, Sharma AR, Sharma G, Doss CGP, Lee SS (2017) Therapeutic miRNA and siRNA: moving from bench to clinic as next generation medicine. Mol Ther Nucleic Acids 8:132–143

    Article  Google Scholar 

  • Chen C, Xing D, Tan L, Li H, Zhou G, Huang L, Xie XS (2017) Single-cell whole-genome analyses by linear amplification via transposon insertion (LIANTI). Science 356(6334):189–194

    Article  Google Scholar 

  • Chen J, Niu N, Zhang J, Qi L, Shen W, Donkena KV, Feng Z, Liu J (2018) Polyploid Giant Cancer Cells (PGCCs): the evil roots of cancer. Curr Cancer Drug Targets 19(5):360–367

    Article  Google Scholar 

  • Chin W, Zhong G, Pu Q, Yang C, Lou W, De Sessions PF, Periaswamy B, Lee A, Liang ZC, Ding X, Gao S, Chu CW, Bianco S, Bao C, Tong YW, Fan W, Wu M, Hedrick JL, Yang YY (2018) A macromolecular approach to eradicate multidrug resistant bacterial infections while mitigating drug resistance onset. Nat Commun 9(1):917

    Article  Google Scholar 

  • Chuang JC, Jones PA (2007) Epigenetics and microRNAs. Pediatr Res 61(5 Pt 2):24R–29R

    Article  Google Scholar 

  • Cieslik M, Chinnaiyan AM (2018) Cancer transcriptome profiling at the juncture of clinical translation. Nat Rev Genet 19(2):93–109

    Article  Google Scholar 

  • Cox DBT, Gootenberg JS, Abudayyeh OO, Franklin B, Kellner MJ, Joung J, Zhang F (2017) RNA editing with CRISPR-Cas13. Science 358(6366):1019–1027

    Article  Google Scholar 

  • Czerniecki SM, Cruz NM, Harder JL, Menon R, Annis J, Otto EA, Gulieva RE, Islas LV, Kim YK, Tran LM, Martins TJ, Pippin JW, Fu H, Kretzler M, Shankland SJ, Himmelfarb J, Moon RT, Paragas N, Freedman BS (2018) High-throughput screening enhances kidney organoid differentiation from human pluripotent stem cells and enables automated multidimensional phenotyping. Cell Stem Cell 22(6):929–940 e924

    Article  Google Scholar 

  • De Fauw J, Ledsam JR, Romera-Paredes B, Nikolov S, Tomasev N, Blackwell S, Askham H, Glorot X, O’Donoghue B, Visentin D, van den Driessche G, Lakshminarayanan B, Meyer C, Mackinder F, Bouton S, Ayoub K, Chopra R, King D, Karthikesalingam A, Hughes CO, Raine R, Hughes J, Sim DA, Egan C, Tufail A, Montgomery H, Hassabis D, Rees G, Back T, Khaw PT, Suleyman M, Cornebise J, Keane PA, Ronneberger O (2018) Clinically applicable deep learning for diagnosis and referral in retinal disease. Nat Med 24(9):1342–1350

    Article  Google Scholar 

  • Dupre TV, Doll MA, Shah PP, Sharp CN, Siow D, Megyesi J, Shayman J, Bielawska A, Bielawski J, Beverly LJ, Hernandez-Corbacho M, Clarke CJ, Snider AJ, Schnellmann RG, Obeid LM, Hannun YA, Siskind LJ (2017) Inhibiting glucosylceramide synthase exacerbates cisplatin-induced acute kidney injury. J Lipid Res 58(7):1439–1452

    Article  Google Scholar 

  • Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639):115–118

    Article  Google Scholar 

  • Fabbri M, Calin GA (2010) Epigenetics and miRNAs in human cancer. Adv Genet 70:87–99

    Article  Google Scholar 

  • Feil G, Horres R, Schulte J, Mack AF, Petzoldt S, Arnold C, Meng C, Jost L, Boxleitner J, Kiessling-Wolf N, Serbest E, Helm D, Kuster B, Hartmann I, Korff T, Hahne H (2017) Bacterial cellulose shifts transcriptome and proteome of cultured endothelial cells towards native differentiation. Mol Cell Proteomics 16(9):1563–1577

    Article  Google Scholar 

  • Fernandez SV, Bingham C, Fittipaldi P, Austin L, Palazzo J, Palmer G, Alpaugh K, Cristofanilli M (2014) TP53 mutations detected in circulating tumor cells present in the blood of metastatic triple negative breast cancer patients. Breast Cancer Res 16(5):445

    Article  Google Scholar 

  • Fernandez MF, Reina-Perez I, Astorga JM, Rodriguez-Carrillo A, Plaza-Diaz J, Fontana L (2018) Breast Cancer and Its Relationship with the Microbiota. Int J Environ Res Pub Health 15(8):1747

    Article  Google Scholar 

  • Franz A, Wood W, Martin P (2018) Fat body cells are motile and actively migrate to wounds to drive repair and prevent infection. Dev Cell 44(4):460–470 e463

    Article  Google Scholar 

  • Garvin T, Aboukhalil R, Kendall J, Baslan T, Atwal GS, Hicks J, Wigler M, Schatz M (2015) Interactive analysis and assessment of single-cell copy-number variations. Nat Methods 12(11):1058–60.

    Article  Google Scholar 

  • Gaublomme JT, Yosef N, Lee Y, Gertner RS, Yang LV, Wu C, Pandolfi PP, Mak T, Satija R, Shalek AK, Kuchroo VK, Park H, Regev A (2015) Single-cell genomics Unveils critical regulators of Th17 cell pathogenicity. Cell 163:1400–1412

    Article  Google Scholar 

  • Gaudelli NM, Komor AC, Rees HA, Packer MS, Badran AH, Bryson DI, Liu DR (2017) Programmable base editing of A∗T to G∗C in genomic DNA without DNA cleavage. Nature 551(7681):464–471

    Article  Google Scholar 

  • Gerlinger M, Rowan AJ, Horswell S, Math M, Larkin J, Endesfelder D, Gronroos E, Martinez P, Matthews N, Stewart A, Tarpey P, Varela I, Phillimore B, Begum S, McDonald NQ, Butler A, Jones D, Raine K, Latimer C, Santos CR, Nohadani M, Eklund AC, Spencer-Dene B, Clark G, Pickering L, Stamp G, Gore M, Szallasi Z, Downward J, Futreal PA, Swanton C (2012) Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N Engl J Med 366(10):883–892

    Article  Google Scholar 

  • Gonzalez VD, Samusik N, Chen TJ, Savig ES, Aghaeepour N, Quigley DA, Huang YW, Giangarra V, Borowsky AD, Hubbard NE, Chen SY, Han G, Ashworth A, Kipps TJ, Berek JS, Nolan GP, Fantl WJ (2018) Commonly occurring cell subsets in high-grade serous ovarian tumors identified by single-cell mass cytometry. Cell Rep 22(7):1875–1888

    Article  Google Scholar 

  • Gopalakrishnan V, Spencer CN, Nezi L, Reuben A, Andrews MC, Karpinets TV, Prieto PA, Vicente D, Hoffman K, Wei SC, Cogdill AP, Zhao L, Hudgens CW, Hutchinson DS, Manzo T, Petaccia de Macedo M, Cotechini T, Kumar T, Chen WS, Reddy SM, Szczepaniak Sloane R, Galloway-Pena J, Jiang H, Chen PL, Shpall EJ, Rezvani K, Alousi AM, Chemaly RF, Shelburne S, Vence LM, Okhuysen PC, Jensen VB, Swennes AG, McAllister F, Marcelo Riquelme Sanchez E, Zhang Y, Le Chatelier E, Zitvogel L, Pons N, Austin-Breneman JL, Haydu LE, Burton EM, Gardner JM, Sirmans E, Hu J, Lazar AJ, Tsujikawa T, Diab A, Tawbi H, Glitza IC, Hwu WJ, Patel SP, Woodman SE, Amaria RN, Davies MA, Gershenwald JE, Hwu P, Lee JE, Zhang J, Coussens LM, Cooper ZA, Futreal PA, Daniel CR, Ajami NJ, Petrosino JF, Tetzlaff MT, Sharma P, Allison JP, Jenq RR, Wargo JA (2018) Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients. Science 359(6371):97–103

    Article  Google Scholar 

  • Gore L, Locatelli F, Zugmaier G et al. (2018) Survival after blinatumomab treatment in pediatric patients with relapsed/refractory B-cell precursor acute lymphoblastic leukemia. Blood Cancer J 8:80. https://doi.org/10.1038/s41408-018-0117-0

  • Gracz AD, Williamson IA, Roche KC, Johnston MJ, Wang F, Wang Y, Attayek PJ, Balowski J, Liu XF, Laurenza RJ, Gaynor LT, Sims CE, Galanko JA, Li L, Allbritton NL, Magness ST (2015) A high-throughput platform for stem cell niche co-cultures and downstream gene expression analysis. Nat Cell Biol 17(3):340–349

    Article  Google Scholar 

  • Griffiths JA, Richard AC, Bach K, Lun ATL, Marioni JC (2018) Detection and removal of barcode swapping in single-cell RNA-seq data. Nat Commun 9(1):2667

    Article  Google Scholar 

  • Haapaniemi E, Botla S, Persson J, Schmierer B, Taipale J (2018) CRISPR-Cas9 genome editing induces a p53-mediated DNA damage response. Nat Med 24(7):927–930

    Article  Google Scholar 

  • Haenssle HA, Fink C, Schneiderbauer R, Toberer F, Buhl T, Blum A, Kalloo A, Hassen ABH, Thomas L, Enk A, Uhlmann L (2018) Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists. Ann Oncol 29(8):1836–1842

    Article  Google Scholar 

  • Hawk JD, Bookout AL, Poplawski SG, Bridi M, Rao AJ, Sulewski ME, Kroener BT, Manglesdorf DJ, Abel T (2012) NR4A nuclear receptors support memory enhancement by histone deacetylase inhibitors. J Clin Invest 122(10):3593–3602

    Article  Google Scholar 

  • Heitzer E, Ulz P, Geigl JB (2015) Circulating tumor DNA as a liquid biopsy for cancer. Clin Chem 61(1):112–123

    Article  Google Scholar 

  • Heppner GH, Shekhar M (2014) Tumor heterogeneity is fundamental to the tumor ecosystem. Oncology (Williston Park) 28(9):780–781

    Google Scholar 

  • Hoadley KA, Yau C, Hinoue T, Wolf DM, Lazar AJ, Drill E, Shen R, Taylor AM, Cherniack AD, Thorsson V, Akbani R, Bowlby R, Wong CK, Wiznerowicz M, Sanchez-Vega F, Robertson AG, Schneider BG, Lawrence MS, Noushmehr H, Malta TM, N. Cancer Genome Atlas, Stuart JM, Benz CC, Laird PW (2018) Cell-of-origin patterns dominate the molecular classification of 10,000 tumors from 33 types of cancer. Cell 173(2):291–304 e296

    Article  Google Scholar 

  • Hollis GJ, Keene TM, Ardlie RM, Caldicott DG, Stapleton SG (2017) Prehospital ketamine use by paramedics in the Australian Capital Territory: a 12 month retrospective analysis. Emerg Med Australas 29(1):89–95

    Article  Google Scholar 

  • Horsthemke B (2018) A critical view on transgenerational epigenetic inheritance in humans. Nat Commun 9(1):2973

    Article  Google Scholar 

  • Hou JM, Greystoke A, Lancashire L, Cummings J, Ward T, Board R, Amir E, Hughes S, Krebs M, Hughes A, Ranson M, Lorigan P, Dive C, Blackhall FH (2009) Evaluation of circulating tumor cells and serological cell death biomarkers in small cell lung cancer patients undergoing chemotherapy. Am J Pathol 175(2):808–816

    Article  Google Scholar 

  • Howard SJ, Woodcock S, Ehrich J, Bokosmaty S (2017) What are standardized literacy and numeracy tests testing? Evidence of the domain-general contributions to students’ standardized educational test performance. Br J Educ Psychol 87(1):108–122

    Article  Google Scholar 

  • Hrvatin S, Hochbaum DR, Nagy MA, Cicconet M, Robertson K, Cheadle L, Zilionis R, Ratner A, Borges-Monroy R, Klein AM, Sabatini BL, Greenberg ME (2018) Single-cell analysis of experience-dependent transcriptomic states in the mouse visual cortex. Nat Neurosci 21(1):120–129

    Article  Google Scholar 

  • Hsu YL, Huang PY, Chen DT (2014) Sparse principal component analysis in cancer research. Transl Cancer Res 3(3):182–190

    Google Scholar 

  • Hu GM, Mai TL, Chen CM (2017) Visualizing the GPCR network: classification and evolution. Sci Rep 7(1):15495

    Article  Google Scholar 

  • Humphries J, Xiong L, Liu J, Prindle A, Yuan F, Arjes HA, Tsimring L, Suel GM (2017) Species-independent attraction to biofilms through electrical signaling. Cell 168(1–2):200–209 e212

    Article  Google Scholar 

  • Iacono G, Mereu E, Guillaumet-Adkins A, Corominas R, Cusco I, Rodriguez-Esteban G, Gut M, Perez-Jurado LA, Gut I, Heyn H (2018) bigSCale: an analytical framework for big-scale single-cell data. Genome Res 28(6):878–890

    Article  Google Scholar 

  • Ihry RJ, Worringer KA, Salick MR, Frias E, Ho D, Theriault K, Kommineni S, Chen J, Sondey M, Ye C, Randhawa R, Kulkarni T, Yang Z, McAllister G, Russ C, Reece-Hoyes J, Forrester W, Hoffman GR, Dolmetsch R, Kaykas A (2018) p53 inhibits CRISPR-Cas9 engineering in human pluripotent stem cells. Nat Med 24(7):939–946

    Article  Google Scholar 

  • Jackowiak P, Hojka-Osinska A, Philips A, Zmienko A, Budzko L, Maillard P, Budkowska A, Figlerowicz M (2017) Small RNA fragments derived from multiple RNA classes – the missing element of multi-omics characteristics of the hepatitis C virus cell culture model. BMC Genomics 18(1):502

    Article  Google Scholar 

  • Jackson HJ, Rafiq S, Brentjens RJ (2016) Driving CAR T-cells forward. Nat Rev Clin Oncol 13(6):370–383

    Article  Google Scholar 

  • Jafri MA, Ansari SA, Alqahtani MH, Shay JW (2016) Roles of telomeres and telomerase in cancer, and advances in telomerase-targeted therapies. Genome Med 8(1):69

    Article  Google Scholar 

  • Janik R, Thomason LAM, Stanisz AM, Forsythe P, Bienenstock J, Stanisz GJ (2016) Magnetic resonance spectroscopy reveals oral Lactobacillus promotion of increases in brain GABA, N-acetyl aspartate and glutamate. NeuroImage 125:988–995

    Article  Google Scholar 

  • Janku F (2014) Tumor heterogeneity in the clinic: is it a real problem? Ther Adv Med Oncol 6(2):43–51

    Article  Google Scholar 

  • Jiang Y, Qiu Y, Minn AJ, Zhang NR (2016) Assessing intratumor heterogeneity and tracking longitudinal and spatial clonal evolutionary history by next-generation sequencing. Proc Natl Acad Sci U S A 113(37):E5528–E5537

    Article  Google Scholar 

  • Joshi N, Yan J, Levy S, Bhagchandani S, Slaughter KV, Sherman NE, Amirault J, Wang Y, Riegel L, He X, Rui TS, Valic M, Vemula PK, Miranda OR, Levy O, Gravallese EM, Aliprantis AO, Ermann J, Karp JM (2018) Towards an arthritis flare-responsive drug delivery system. Nat Commun 9(1):1275

    Article  Google Scholar 

  • Kalmanti L, Saussele S, Lauseker M et al. (2015) Safety and efficacy of imatinib in CML over a period of 10 years: data from the randomized CML-study IV. Leukemia 29:1123–1132. https://doi.org/10.1038/leu.2015.36

    Article  Google Scholar 

  • Kannan SRK, Siva M, Ramathilagam S (2018) Effective kernel-based fuzzy clustering Systems in Analyzing Cancer Database. Data-Enabled Discov Appl 2(1):5

    Google Scholar 

  • Kelly JR, Kennedy PJ, Cryan JF, Dinan TG, Clarke G, Hyland NP (2015) Breaking down the barriers: the gut microbiome, intestinal permeability and stress-related psychiatric disorders. Front Cell Neurosci 9:392

    Google Scholar 

  • Kermany DS, Goldbaum M, Cai W, Valentim CCS, Liang H, Baxter SL, McKeown A, Yang G, Wu X, Yan F, Dong J, Prasadha MK, Pei J, Ting M, Zhu J, Li C, Hewett S, Dong J, Ziyar I, Shi A, Zhang R, Zheng L, Hou R, Shi W, Fu X, Duan Y, Huu VAN, Wen C, Zhang ED, Zhang CL, Li O, Wang X, Singer MA, Sun X, Xu J, Tafreshi A, Lewis MA, Xia H, Zhang K (2018) Identifying medical diagnoses and treatable diseases by image-based deep learning. Cell 172(5):1122–1131 e1129

    Article  Google Scholar 

  • Khurana E, Fu Y, Chakravarty D, Demichelis F, Rubin MA, Gerstein M (2016) Role of non-coding sequence variants in cancer. Nat Rev Genet 17(2):93–108

    Article  Google Scholar 

  • Kotagiri N, Cooper ML, Rettig M, Egbulefu C, Prior J, Cui G, Karmakar P, Zhou M, Yang X, Sudlow G, Marsala L, Chanswangphuwana C, Lu L, Habimana-Griffin L, Shokeen M, Xu X, Weilbaecher K, Tomasson M, Lanza G, DiPersio JF, Achilefu S (2018) Radionuclides transform chemotherapeutics into phototherapeutics for precise treatment of disseminated cancer. Nat Commun 9(1):275

    Article  Google Scholar 

  • Kovalevsky A, Aggarwal M, Velazquez H, Cuneo MJ, Blakeley MP, Weiss KL, Smith JC, Fisher SZ, McKenna R (2018) “To be or not to be” protonated: atomic details of human carbonic anhydrase-clinical drug complexes by neutron crystallography and simulation. Structure 26(3):383–390 e383

    Article  Google Scholar 

  • Lafzi A, Moutinho C, Picelli S, Heyn H (2018) Tutorial: guidelines for the experimental design of single-cell RNA sequencing studies. Nat Protoc 13(12):2742–2757

    Article  Google Scholar 

  • Lee K, Conboy M, Park HM, Jiang F, Kim HJ, Dewitt MA, Mackley VA, Chang K, Rao A, Skinner C, Shobha T, Mehdipour M, Liu H, Huang WC, Lan F, Bray NL, Li S, Corn JE, Kataoka K, Doudna JA, Conboy I, Murthy N (2017) Nanoparticle delivery of Cas9 ribonucleoprotein and donor DNA in vivo induces homology-directed DNA repair. Nat Biomed Eng 1:889–901

    Article  Google Scholar 

  • Li Z, Zheng Z, Ruan J, Li Z, Zhuang X, Tzeng CM (2016) Integrated analysis miRNA and mRNA profiling in patients with severe oligozoospermia reveals miR-34c-3p downregulates PLCXD3 expression. Oncotarget 7(33):52781–52796

    Google Scholar 

  • Li P, You S, Nguyen C, Wang Y, Kim J, Sirohi D, Ziembiec A, Luthringer D, Lin SC, Daskivich T, Wu J, Freeman MR, Saouaf R, Li D, Kim HL (2018a) Genes involved in prostate cancer progression determine MRI visibility. Theranostics 8(7):1752–1765

    Article  Google Scholar 

  • Li S, Jiang Q, Liu S, Zhang Y, Tian Y, Song C, Wang J, Zou Y, Anderson GJ, Han JY, Chang Y, Liu Y, Zhang C, Chen L, Zhou G, Nie G, Yan H, Ding B, Zhao Y (2018b) A DNA nanorobot functions as a cancer therapeutic in response to a molecular trigger in vivo. Nat Biotechnol 36(3):258–264

    Article  Google Scholar 

  • Linnemann JR, Miura H, Meixner LK, Irmler M, Kloos UJ, Hirschi B, Bartsch HS, Sass S, Beckers J, Theis FJ, Gabka C, Sotlar K, Scheel CH (2015) Quantification of regenerative potential in primary human mammary epithelial cells. Development 142(18):3239–3251

    Article  Google Scholar 

  • Lv Q, Gong L, Zhang T, Ye J, Chai L, Ni C, Mao Y (2016) Prognostic value of circulating tumor cells in metastatic breast cancer: a systemic review and meta-analysis. Clin Transl Oncol 18(3):322–330

    Article  Google Scholar 

  • Ma H, Marti-Gutierrez N, Park SW, Wu J, Lee Y, Suzuki K, Koski A, Ji D, Hayama T, Ahmed R, Darby H, Van Dyken C, Li Y, Kang E, Park AR, Kim D, Kim ST, Gong J, Gu Y, Xu X, Battaglia D, Krieg SA, Lee DM, Wu DH, Wolf DP, Heitner SB, Belmonte JCI, Amato P, Kim JS, Kaul S, Mitalipov S (2017) Correction of a pathogenic gene mutation in human embryos. Nature 548(7668):413–419

    Article  Google Scholar 

  • Masuda T, Sankowski R, Staszewski O, Bottcher C, Amann L, Sagar, Scheiwe C, Nessler S, Kunz P, van Loo G, Coenen VA, Reinacher PC, Michel A, Sure U, Gold R, Grun D, Priller J, Stadelmann C, Prinz M (2019) Spatial and temporal heterogeneity of mouse and human microglia at single-cell resolution. Nature 566(7744):388–392

    Article  Google Scholar 

  • Miyamoto DT, Zheng Y, Wittner BS, Lee RJ, Zhu H, Broderick KT, Desai R, Fox DB, Brannigan BW, Trautwein J, Arora KS, Desai N, Dahl DM, Sequist LV, Smith MR, Kapur R, Wu CL, Shioda T, Ramaswamy S, Ting DT, Toner M, Maheswaran S, Haber DA (2015) RNA-Seq of single prostate CTCs implicates noncanonical Wnt signaling in antiandrogen resistance. Science 349(6254):1351–1356

    Article  Google Scholar 

  • Moustafa A, Li W, Anderson EL, Wong EHM, Dulai PS, Sandborn WJ, Biggs W, Yooseph S, Jones MB, Venter JC, Nelson KE, Chang JT, Telenti A, Boland BS (2018) Genetic risk, dysbiosis, and treatment stratification using host genome and gut microbiome in inflammatory bowel disease. Clin Transl Gastroenterol 9(1):e132

    Article  Google Scholar 

  • Moutinho C, Esteller M (2017) MicroRNAs and epigenetics. Adv Cancer Res 135:189–220

    Article  Google Scholar 

  • Najlah M, Ahmed Z, Iqbal M, Wang Z, Tawari P, Wang W, McConville C (2017) Development and characterisation of disulfiram-loaded PLGA nanoparticles for the treatment of non-small cell lung cancer. Eur J Pharm Biopharm 112:224–233

    Article  Google Scholar 

  • Navin N, Kendall J, Troge J, Andrews P, Rodgers L, McIndoo J, Cook K, Stepansky A, Levy D, Esposito D, Muthuswamy L, Krasnitz A, McCombie WR, Hicks J, Wigler M (2011) Tumour evolution inferred by single-cell sequencing. Nature 472(7341):90–94

    Article  Google Scholar 

  • Nicolazzo C, Raimondi C, Mancini M, Caponnetto S, Gradilone A, Gandini O, Mastromartino M, Del Bene G, Prete A, Longo F, Cortesi E, Gazzaniga P (2016) Monitoring PD-L1 positive circulating tumor cells in non-small cell lung cancer patients treated with the PD-1 inhibitor Nivolumab. Sci Rep 6:31726

    Article  Google Scholar 

  • Ogishima T, Shiina H, Breault JE, Tabatabai L, Bassett WW, Enokida H, Li LC, Kawakami T, Urakami S, Ribeiro-Filho LA, Terashima M, Fujime M, Igawa M, Dahiya R (2005) Increased heparanase expression is caused by promoter hypomethylation and up-regulation of transcriptional factor early growth response-1 in human prostate cancer. Clin Cancer Res 11(3):1028–1036

    Google Scholar 

  • Ortega MA, Poirion O, Zhu X, Huang S, Wolfgruber TK, Sebra R, Garmire LX (2017) Using single-cell multiple omics approaches to resolve tumor heterogeneity. Clin Transl Med 6(1):46

    Article  Google Scholar 

  • Ou HD, Phan S, Deerinck TJ, Thor A, Ellisman MH, O’Shea CC (2017) ChromEMT: Visualizing 3D chromatin structure and compaction in interphase and mitotic cells. Science (New York, N.Y.), 357(6349), eaag0025

    Google Scholar 

  • Oya H, Howard MA, Magnotta VA, Kruger A, Griffiths TD, Lemieux L, Carmichael DW, Petkov CI, Kawasaki H, Kovach CK, Sutterer MJ, Adolphs R (2017) Mapping effective connectivity in the human brain with concurrent intracranial electrical stimulation and BOLD-fMRI. J Neurosci Methods 277:101–112

    Article  Google Scholar 

  • Pantel K, Alix-Panabieres C (2019) Liquid biopsy and minimal residual disease – latest advances and implications for cure. Nat Rev Clin Oncol 16:409–424

    Article  Google Scholar 

  • Peuker K, Muff S, Wang J, Kunzel S, Bosse E, Zeissig Y, Luzzi G, Basic M, Strigli A, Ulbricht A, Kaser A, Arlt A, Chavakis T, van den Brink GR, Schafmayer C, Egberts JH, Becker T, Bianchi ME, Bleich A, Rocken C, Hampe J, Schreiber S, Baines JF, Blumberg RS, Zeissig S (2016) Epithelial calcineurin controls microbiota-dependent intestinal tumor development. Nat Med 22(5):506–515

    Article  Google Scholar 

  • Phansalkar S, Desai AA, Bell D, Yoshida E, Doole J, Czochanski M, Middleton B, Bates DW (2012) High-priority drug-drug interactions for use in electronic health records. J Am Med Inform Assoc 19(5):735–743

    Article  Google Scholar 

  • Plottel CS, Blaser MJ (2011) Microbiome and malignancy. Cell Host Microbe 10(4):324–335

    Article  Google Scholar 

  • Poplin R, Varadarajan AV, Blumer K, Liu Y, McConnell MV, Corrado GS, Peng L, Webster DR (2018) Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning. Nat Biomed Eng 2:158

    Article  Google Scholar 

  • Qin S, Yin H, Yang C, Dou Y, Liu Z, Zhang P, Yu H, Huang Y, Feng J, Hao J, Hao J, Deng L, Yan X, Dong X, Zhao Z, Jiang T, Wang HW, Luo SJ, Xie C (2016) A magnetic protein biocompass. Nat Mater 15(2):217–226

    Article  Google Scholar 

  • Quandt D, Dieter Zucht H, Amann A, Wulf-Goldenberg A, Borrebaeck C, Cannarile M, Lambrechts D, Oberacher H, Garrett J, Nayak T, Kazinski M, Massie C, Schwarzenbach H, Maio M, Prins R, Wendik B, Hockett R, Enderle D, Noerholm M, Hendriks H, Zwierzina H, Seliger B (2017) Implementing liquid biopsies into clinical decision making for cancer immunotherapy. Oncotarget 8(29):48507–48520

    Article  Google Scholar 

  • Radvanyi LG (2018) Targeting the cancer mutanome of breast cancer. Nat Med 24(6):703–704

    Article  Google Scholar 

  • Ramassone A, Pagotto S, Veronese A, Visone R (2018) Epigenetics and MicroRNAs in cancer. Int J Mol Sci 19(2):459

    Article  Google Scholar 

  • Regev A, Teichmann SA, Lander ES, Amit I, Benoist C, Birney E, Bodenmiller B, Campbell P, Carninci P, Clatworthy M, Clevers H, Deplancke B, Dunham I, Eberwine J, Eils R, Enard W, Farmer A, Fugger L, Gottgens B, Hacohen N, Haniffa M, Hemberg M, Kim S, Klenerman P, Kriegstein A, Lein E, Linnarsson S, Lundberg E, Lundeberg J, Majumder P, Marioni JC, Merad M, Mhlanga M, Nawijn M, Netea M, Nolan G, Pe’er D, Phillipakis A, Ponting CP, Quake S, Reik W, Rozenblatt-Rosen O, Sanes J, Satija R, Schumacher TN, Shalek A, Shapiro E, Sharma P, Shin JW, Stegle O, Stratton M, Stubbington MJT, Theis FJ, Uhlen M, van Oudenaarden A, Wagner A, Watt F, Weissman J, Wold B, Xavier R, Yosef N, P. Human Cell Atlas Meeting (2017) The human cell atlas. Elife 6:e27041

    Article  Google Scholar 

  • Reiman D, Ahmed AM, Yang D (2018) PopPhy-CNN: a phylogenetic tree embedded architecture for convolution neural networks for metagenomic data. https://doi.org/10.1101/257931

  • Routy B, Le Chatelier E, Derosa L, Duong CPM, Alou MT, Daillere R, Fluckiger A, Messaoudene M, Rauber C, Roberti MP, Fidelle M, Flament C, Poirier-Colame V, Opolon P, Klein C, Iribarren K, Mondragon L, Jacquelot N, Qu B, Ferrere G, Clemenson C, Mezquita L, Masip JR, Naltet C, Brosseau S, Kaderbhai C, Richard C, Rizvi H, Levenez F, Galleron N, Quinquis B, Pons N, Ryffel B, Minard-Colin V, Gonin P, Soria JC, Deutsch E, Loriot Y, Ghiringhelli F, Zalcman G, Goldwasser F, Escudier B, Hellmann MD, Eggermont A, Raoult D, Albiges L, Kroemer G, Zitvogel L (2018) Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors. Science 359(6371):91–97

    Article  Google Scholar 

  • Saelens W, Cannoodt R, Todorov H, Saeys Y (2019) A comparison of single-cell trajectory inference methods. Nat Biotechnol 37(5):547–554

    Article  Google Scholar 

  • Sagiv-Barfi I, Czerwinski DK, Levy S, Alam IS, Mayer AT, Gambhir SS, Levy R (2018) Eradication of spontaneous malignancy by local immunotherapy. Sci Transl Med 10(426):eaan4488

    Article  Google Scholar 

  • Salvianti F, Pazzagli M, Pinzani P (2016) Single circulating tumor cell sequencing as an advanced tool in cancer management. Expert Rev Mol Diagn 16(1):51–63

    Article  Google Scholar 

  • Schmidt F, Efferth T (2016) Tumor heterogeneity, single-cell sequencing, and drug resistance. Pharmaceuticals (Basel) 9(2):33

    Article  Google Scholar 

  • Schorn AJ, Gutbrod MJ, LeBlanc C, Martienssen R (2017) LTR-retrotransposon control by tRNA-derived small RNAs. Cell 170(1):61–71 e11

    Article  Google Scholar 

  • Scialdone A, Natarajan KN, Saraiva LR, Proserpio V, Teichmann SA, Stegle O, Marioni JC, Buettner F (2015) Computational assignment of cell-cycle stage from single-cell transcriptome data. Methods 85:54–61

    Article  Google Scholar 

  • Shah MY, Ferrajoli A, Sood AK, Lopez-Berestein G, Calin GA (2016) microRNA therapeutics in cancer – an emerging concept. EBioMedicine 12:34–42

    Article  Google Scholar 

  • Shalek AK, Satija R, Shuga J, Trombetta JJ, Gennert D, Lu D, Chen P, Gertner RS, Gaublomme JT, Yosef N, Schwartz S, Fowler B, Weaver S, Wang J, Wang X, Ding R, Raychowdhury R, Friedman N, Hacohen N, Park H, May AP, Regev A (2014) Single-cell RNA-seq reveals dynamic paracrine control of cellular variation. Nature 510:363–369

    Article  Google Scholar 

  • Shaw JA, Guttery DS, Hills A, Fernandez-Garcia D, Page K, Rosales BM, Goddard KS, Hastings RK, Luo J, Ogle O, Woodley L, Ali S, Stebbing J, Coombes RC (2017) Mutation analysis of cell-free DNA and single circulating tumor cells in metastatic breast cancer patients with high circulating tumor cell counts. Clin Cancer Res 23(1):88–96

    Article  Google Scholar 

  • Shen S, Lim G, You Z, Ding W, Huang P, Ran C, Doheny J, Caravan P, Tate S, Hu K, Kim H, McCabe M, Huang B, Xie Z, Kwon D, Chen L, Mao J (2017) Gut microbiota is critical for the induction of chemotherapy-induced pain. Nat Neurosci 20(9):1213–1216

    Article  Google Scholar 

  • Shibata M, Nishimasu H, Kodera N, Hirano S, Ando T, Uchihashi T, Nureki O (2017) Real-space and real-time dynamics of CRISPR-Cas9 visualized by high-speed atomic force microscopy. Nat Commun 8(1):1430

    Article  Google Scholar 

  • Sidhom JW, Bessell CA, Havel JJ, Kosmides A, Chan TA, Schneck JP (2018) ImmunoMap: a bioinformatics tool for T-cell repertoire analysis. Cancer Immunol Res 6(2):151–162

    Article  Google Scholar 

  • Sivan A, Corrales L, Hubert N, Williams JB, Aquino-Michaels K, Earley ZM, Benyamin FW, Lei YM, Jabri B, Alegre ML, Chang EB, Gajewski TF (2015) Commensal Bifidobacterium promotes antitumor immunity and facilitates anti-PD-L1 efficacy. Science 350(6264):1084–1089

    Article  Google Scholar 

  • Sol N, Wurdinger T (2017) Platelet RNA signatures for the detection of cancer. Cancer Metastasis Rev 36(2):263–272

    Article  Google Scholar 

  • Spinelli JB, Yoon H, Ringel AE, Jeanfavre S, Clish CB, Haigis MC (2017) Metabolic recycling of ammonia via glutamate dehydrogenase supports breast cancer biomass. Science 358(6365):941–946

    Article  Google Scholar 

  • Subramanian S, Gao X, Dann CE 3rd, Kearns DB (2017) MotI (DgrA) acts as a molecular clutch on the flagellar stator protein MotA in Bacillus subtilis. Proc Natl Acad Sci U S A 114(51):13537–13542

    Article  Google Scholar 

  • Sulciner ML, Serhan CN, Gilligan MM, Mudge DK, Chang J, Gartung A, Lehner KA, Bielenberg DR, Schmidt B, Dalli J, Greene ER, Gus-Brautbar Y, Piwowarski J, Mammoto T, Zurakowski D, Perretti M, Sukhatme VP, Kaipainen A, Kieran MW, Huang S, Panigrahy D (2018) Resolvins suppress tumor growth and enhance cancer therapy. J Exp Med 215(1):115–140

    Article  Google Scholar 

  • Svensson V, Vento-Tormo R, Teichmann SA (2018) Exponential scaling of single-cell RNA-seq in the past decade. Nat Protoc 13(4):599–604

    Article  Google Scholar 

  • Thyagarajan A, Shaban A, Sahu RP (2018) MicroRNA-directed cancer therapies: implications in melanoma intervention. J Pharmacol Exp Ther 364(1):1–12

    Article  Google Scholar 

  • Tomasetti C, Vogelstein B, Parmigiani G (2013) Half or more of the somatic mutations in cancers of self-renewing tissues originate prior to tumor initiation. Proc Natl Acad Sci U S A 110(6):1999–2004

    Article  Google Scholar 

  • Tramontano M, Andrejev S, Pruteanu M, Klunemann M, Kuhn M, Galardini M, Jouhten P, Zelezniak A, Zeller G, Bork P, Typas A, Patil KR (2018) Nutritional preferences of human gut bacteria reveal their metabolic idiosyncrasies. Nat Microbiol 3(4):514–522

    Article  Google Scholar 

  • Trejo-Becerril C, Perez-Cardenas E, Taja-Chayeb L, Anker P, Herrera-Goepfert R, Medina-Velazquez LA, Hidalgo-Miranda A, Perez-Montiel D, Chavez-Blanco A, Cruz-Velazquez J, Diaz-Chavez J, Gaxiola M, Duenas-Gonzalez A (2012) Cancer progression mediated by horizontal gene transfer in an in vivo model. PLoS One 7(12):e52754

    Article  Google Scholar 

  • Tsujiura M, Ichikawa D, Konishi H, Komatsu S, Shiozaki A, Otsuji E (2014) Liquid biopsy of gastric cancer patients: circulating tumor cells and cell-free nucleic acids. World J Gastroenterol 20(12):3265–3286

    Article  Google Scholar 

  • Tyssowski KM, DeStefino NR, Cho JH, Dunn CJ, Poston RG, Carty CE, Jones RD, Chang SM, Romeo P, Wurzelmann MK, Ward JM, Andermann ML, Saha RN, Dudek SM, Gray JM (2018) Different neuronal activity patterns induce different gene expression programs. Neuron 98(3):530–546 e511

    Article  Google Scholar 

  • Vander Heiden MG, Cantley LC, Thompson CB (2009) Understanding the Warburg effect: the metabolic requirements of cell proliferation. Science 324(5930):1029–1033

    Article  Google Scholar 

  • Veglia F, Tyurin VA, Mohammadyani D, Blasi M, Duperret EK, Donthireddy L, Hashimoto A, Kapralov A, Amoscato A, Angelini R, Patel S, Alicea-Torres K, Weiner D, Murphy ME, Klein-Seetharaman J, Celis E, Kagan VE, Gabrilovich DI (2017) Lipid bodies containing oxidatively truncated lipids block antigen cross-presentation by dendritic cells in cancer. Nat Commun 8(1):2122

    Article  Google Scholar 

  • Vishnoi M, Peddibhotla S, Yin W, T Scamardo A, George GC, Hong DS, Marchetti D (2015) The isolation and characterization of CTC subsets related to breast cancer dormancy. Sci Rep 5:17533

    Google Scholar 

  • Wagle N, Emery C, Berger MF, Davis MJ, Sawyer A, Pochanard P, Kehoe SM, Johannessen CM, Macconaill LE, Hahn WC, Meyerson M, Garraway LA (2011) Dissecting therapeutic resistance to RAF inhibition in melanoma by tumor genomic profiling. J Clin Oncol 29(22):3085–3096

    Article  Google Scholar 

  • Wang L, Dumenil C, Julie C, Giraud V, Dumoulin J, Labrune S, Chinet T, Emile JF, He B, Leprieur EG (2017) Molecular characterization of circulating tumor cells in lung cancer: moving beyond enumeration. Oncotarget 8(65):109818–109835

    Google Scholar 

  • Wang L, Livak KJ, Wu CJ (2018) High-dimension single-cell analysis applied to cancer. Mol Asp Med 59:70–84

    Article  Google Scholar 

  • Winter C, Kosch R, Ludlow M, Osterhaus A, Jung K (2019) Network meta-analysis correlates with analysis of merged independent transcriptome expression data. BMC Bioinforma 20(1):144

    Article  Google Scholar 

  • Wu SC, Cao ZS, Chang KM, Juang JL (2017) Intestinal microbial dysbiosis aggravates the progression of Alzheimer’s disease in Drosophila. Nat Commun 8(1):24

    Article  Google Scholar 

  • Yamaguchi K, Urakami K, Ohshima K, Mochizuki T, Akiyama Y, Uesaka K, Nakajima T, Takahashi M, Tamai S, Kusuhara M (2014) Implementation of individualized medicine for cancer patients by multiomics-based analyses-the project HOPE. Biomed Res 35(6):407–412

    Article  Google Scholar 

  • Yamanaka YJ, Szeto GL, Gierahn TM, Forcier TL, Benedict KF, Brefo MS, Lauffenburger DA, Irvine DJ, Love JC (2012) Cellular barcodes for efficiently profiling single-cell secretory responses by microengraving. Anal Chem 84(24):10531–10536

    Article  Google Scholar 

  • Yan W, Wu X, Zhou W, Fong MY, Cao M, Liu J, Liu X, Chen CH, Fadare O, Pizzo DP, Wu J, Liu L, Liu X, Chin AR, Ren X, Chen Y, Locasale JW, Wang SE (2018) Cancer-cell-secreted exosomal miR-105 promotes tumour growth through the MYC-dependent metabolic reprogramming of stromal cells. Nat Cell Biol 20(5):597–609

    Article  Google Scholar 

  • Yano JM, Yu K, Donaldson GP, Shastri GG, Ann P, Ma L, Nagler CR, Ismagilov RF, Mazmanian SK, Hsiao EY (2015) Indigenous bacteria from the gut microbiota regulate host serotonin biosynthesis. Cell 161(2):264–276

    Article  Google Scholar 

  • Yip A, Webster RM (2018) The market for chimeric antigen receptor T cell therapies. Nat Rev Drug Discov 17(3):161–162

    Article  Google Scholar 

  • Zabara A, Chong JTY, Martiel I, Stark L, Cromer BA, Speziale C, Drummond CJ, Mezzenga R (2018) Design of ultra-swollen lipidic mesophases for the crystallization of membrane proteins with large extracellular domains. Nat Commun 9(1):544

    Article  Google Scholar 

  • Zeng Z, Miao N, Sun T (2018) Revealing cellular and molecular complexity of the central nervous system using single cell sequencing. Stem Cell Res Ther 9

    Google Scholar 

  • Zhalnina K, Louie KB, Hao Z, Mansoori N, da Rocha UN, Shi S, Cho H, Karaoz U, Loque D, Bowen BP, Firestone MK, Northen TR, Brodie EL (2018) Dynamic root exudate chemistry and microbial substrate preferences drive patterns in rhizosphere microbial community assembly. Nat Microbiol 3(4):470–480

    Article  Google Scholar 

  • Zhang W, Xia W, Lv Z, Ni C, Xin Y, Yang L (2017) Liquid biopsy for cancer: circulating tumor cells, circulating free DNA or exosomes? Cell Physiol Biochem 41(2):755–768

    Article  Google Scholar 

  • Zickenrott S, Angarica VE, Upadhyaya BB, del Sol A (2016) Prediction of disease-gene-drug relationships following a differential network analysis. Cell Death Dis 7:e2040

    Article  Google Scholar 

  • Zou S, Fang L, Lee MH (2018) Dysbiosis of gut microbiota in promoting the development of colorectal cancer. Gastroenterol Rep (Oxf) 6(1):1–12

    Article  Google Scholar 

  • Zovkic IB, Paulukaitis BS, Day JJ, Etikala DM, Sweatt JD (2014) Histone H2A.Z subunit exchange controls consolidation of recent and remote memory. Nature 515(7528):582–586

    Article  Google Scholar 

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Acknowledgements

We thank Dr. Fan-Gang Tseng and Dr. Tuhin Subhra Santra for their support on the microfluidic device, Dr. Ming-Hsien Chien at the Institute of Clinical Medicine for the advice on the cancer treatment, Dr. Chien-Wen Chung for nanoparticle delivery instruction, Mr. Ding Wang from Linkou Chang Gung Memorial Hospital for the advice on clinical trial, Mr. Min-Han Lee from the Taiwan Semiconductor Manufacturing Company for the advice on AI/deep leaning and database, Dr. Chao-Lung Chiang from National Synchrotron Radiation Research Center (NSRRC) for materials chemistry and chapter revision, King & Queen Entertainment Inc. for funding, and Academia Sinica and BIOGEN Inc. for the NGS guidance.

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Authors and Affiliations

  1. Department of Physics, National Taiwan Normal University, Taipei, Taiwan

    Geng-Ming Hu

  2. Bio-Gen Inc., Tegucigalpa, Honduras

    Victor Daniel Lee

  3. NeuroSky, Inc., San Jose, CA, USA

    Hung-Yu Lin

  4. Genomics Research Center, Academia Sinica, Taipei, Taiwan

    Pu-Wei Mao

  5. Department of Pharmacy, Hsinchu National Military Hospital, Hsinchu, Taiwan

    Hsin-Yi Liu

  6. BSL3 core facility Laboratory, National University of Singapore, Singapore, Singapore

    Jih-Hou Peh

  7. Department of Molecular and Cellular Biology, National Tsing Hua University, Hsinchu, Taiwan

    Chih-Wei Chen

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  1. Geng-Ming Hu
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Correspondence to Chih-Wei Chen .

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Editors and Affiliations

  1. Department of Engineering Design, Indian Institute of Technology Madras, Chennai, India

    Tuhin Subhra Santra

  2. Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan

    Fan-Gang Tseng

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Hu, GM. et al. (2019). Single-Cell Technologies for Cancer Therapy. In: Santra, T., Tseng, FG. (eds) Handbook of Single Cell Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-10-4857-9_10-1

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  • DOI: https://doi.org/10.1007/978-981-10-4857-9_10-1

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