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72. Large-scale single-virus genomics uncovers hidden diversity of river water viruses and diversified gene profiles
Nishikawa Y, Wagatsuma R, Tsukada Y, Chia-ling L, Chijiiwa R, Hosokawa M, Takeyama H.
bioRxiv 2024:2024-04. https://doi.org/10.1101/2024.04.18.589877
 
71. A combination of two-enzyme system and enzyme engineering improved the activity of a new PET hydrolase identified from soil bacterial genome
Mabashi-Asazuma H, Hirai M, Sakurai S, Ide K, Kogawa M, Matsushita A, Hosokawa M, Tsuda S.
bioRxiv 2024 2024.02. 01.578500 https://doi.org/10.1101/2024.02.01.578500 

70. Uncovering novel endolysins against methicillin-resistant Staphylococcus aureus using microbial single-cell genome sequencing
Yoda T, Matsuhashi A, Matsushita A, Shibagaki S, Sasakura Y, Aoki K, Hosokawa M, Tsuda S.
bioRxiv 2023 2023.06. 22.546026 https://doi.org/10.1101/2023.06.22.546026

69. Single Amplified Genome Catalog Reveals the Dynamics of Mobilome and Resistome in the Human Microbiome
Kawano-Sugaya T, Arikawa K, Saeki T, Endoh T, Kamata K, Matsuhashi A, Hosokawa M.
bioRxiv 2023 2023.12. 06.570492  https://doi.org/10.1101/2023.12.06.570492

2024
68. Analysis of microbial dynamics in the soybean root-associated environments from community to single-cell levels
Kifushi M, Nishikawa Y,  Hosokawa M, Ide K, Kogawa M, Anai T, Takeyama H.
J Biosci Bioeng. 2024 Apr 2:S1389-1723(24)00077-X. doi: 10.1016/j.jbiosc.2024.02.007.

2023
67. Tools for microbial single-cell genomics for obtaining uncultured microbial genomes
Hosokawa M, Nishikawa Y.
Biophys Rev 2023. https://doi.org/10.1007/s12551-023-01124-y

65. Uncultured prokaryotic genomes in the spotlight: An examination of publicly available data from metagenomics and single-cell genomics.
Arikawa K, Hosokawa M.
Comput Struct Biotechnol J. 2023 Sep 12;21:4508-4518. doi: 10.1016/j.csbj.2023.09.010.

64. Enhancing the sensitivity of bacterial single-cell RNA sequencing using RamDA-seq and Cas9-based rRNA depletion.
Nishimura M, Takeyama H, Hosokawa M.
J Biosci Bioeng. 2023 Aug;136(2):152-158. doi: 10.1016/j.jbiosc.2023.05.010.
 
63. Target enrichment of uncultured human oral bacteria with phage-derived molecules found by single-cell genomics.
Hosokawa M, Iwai N, Arikawa K, Saeki T, Endoh T, Kamata K, Yoda T, Tsuda S, Takeyama H.
J Biosci Bioeng. 2023 Jul;136(1):58-66. doi: 10.1016/j.jbiosc.2023.04.005.
 
62. Combined actions of bacteriophage-encoded genes in Wolbachia-induced male lethality.
Arai H, Anbutsu H, Nishikawa Y, Kogawa M, Ishii K, Hosokawa M, Lin SR, Ueda M, Nakai M, Kunimi Y, Harumoto T, Kageyama D, Takeyama H, Inoue MN.
iScience. 2023 May 10;26(6):106842. doi: 10.1016/j.isci.2023.106842
 
61. Linking antigen specific T-cell dynamics in a microfluidic chip to single cell transcription patterns.
Ide H, Aoshi T, Saito M, Espulgar WV, Briones JC, Hosokawa M, Matsunaga H, Arikawa K, Takeyama H, Koyama S, Takamatsu H, Tamiya E.
Biochem Biophys Res Commun. 2023 May 21;657:8-15. doi: 10.1016/j.bbrc.2023.03.035.

60. Revealing within-species diversity in uncultured human gut bacteria with single-cell long-read sequencing.
Kogawa M, Nishikawa Y, Saeki T, Yoda T, Arikawa K, Takeyama H, Hosokawa M.
Front Microbiol. 2023 Feb 24;14:1133917. doi: 10.3389/fmicb.2023.1133917.

2022
 
59. Targeted single-cell genomics reveals novel host adaptation strategies of the symbiotic bacteria Endozoicomonas in Acropora tenuis coral.
Ide K, Nishikawa Y, Maruyama T, Tsukada Y, Kogawa M, Takeda H, Ito H, Wagatsuma R, Miyaoka R, Nakano Y, Kinjo K, Ito M, Hosokawa M, Yura K, Suda S, Takeyama H.
Microbiome. 2022 Dec 12;10(1):220. doi: 10.1186/s40168-022-01395-9.
 
58. Integrated spatial analysis of gene mutation and gene expression for understanding tumor diversity in formalin-fixed paraffin-embedded lung adenocarcinoma.
Yamazaki M, Hosokawa M, Matsunaga H, Arikawa K, Takamochi K, Suzuki K, Hayashi T, Kambara H, Takeyama H.
Front Oncol. 2022 Nov 24;12:936190. doi: 10.3389/fonc.2022.936190.

57. Reproducible and sensitive micro-tissue RNA sequencing from formalin-fixed paraffin-embedded tissues for spatial gene expression analysis.
Matsunaga H, Arikawa K, Yamazaki M, Wagatsuma R, Ide K, Samuel AZ, Takamochi K, Suzuki K, Hayashi T, Hosokawa M, Kambara H, Takeyama H.
Sci Rep. 2022 Nov 14;12(1):19511. doi: 10.1038/s41598-022-23651-6.
 
56. Massively parallel single-cell genomics of microbiomes in rice paddies.
Aoki W, Kogawa M, Matsuda S, Matsubara K, Hirata S, Nishikawa Y, Hosokawa M, Takeyama H, Matoh T, Ueda M.
Front Microbiol. 2022 Nov 3;13:1024640. doi: 10.3389/fmicb.2022.1024640.
 
55. Cancer Cachexia among Patients with Advanced Non-Small-Cell Lung Cancer on Immunotherapy: An Observational Study with Exploratory Gut Microbiota Analysis.
Hakozaki T, Nolin-Lapalme A, Kogawa M, Okuma Y, Nakamura S, Moreau-Amaru D, Tamura T, Hosomi Y, Takeyama H, Richard C, Hosokawa M, Routy B.
Cancers (Basel). 2022 Nov 2;14(21):5405. doi: 10.3390/cancers14215405.
 
54. Validation of the application of gel beads-based single-cell genome sequencing platform to soil and seawater.
Nishikawa Y, Kogawa M, Hosokawa M, Wagatsuma R, Mineta K, Takahashi K, Ide K, Yura K, Behzad H, Gojobori T, Takeyama H.
ISME Commun. 2022 Sep 29;2(1):92. doi: 10.1038/s43705-022-00179-4.
 
53. Identification of lipolytic enzymes using high-throughput single-cell screening and sorting of a metagenomic library.
Alma'abadi A, Behzad H, Alarawi M, Conchouso D, Saito Y, Hosokawa M, Nishikawa Y, Kogawa M, Takeyama H, Mineta K, Gojobori T.
N Biotechnol. 2022 Sep 25;70:102-108. doi: 10.1016/j.nbt.2022.05.006.
 
52. Exploring strain diversity of dominant human skin bacterial species using single-cell genome sequencing.
Ide K, Saeki T, Arikawa K, Yoda T, Endoh T, Matsuhashi A, Takeyama H, Hosokawa M.
Front Microbiol. 2022 Aug 5;13:955404. doi: 10.3389/fmicb.2022.955404.
 
51. Identification of two cancer stem cell-like populations in triple-negative breast cancer xenografts.
Nakayama J, Matsunaga H, Arikawa K, Yoda T, Hosokawa M, Takeyama H, Yamamoto Y, Semba K.
Dis Model Mech. 2022 Jun 1;15(6):dmm049538. doi: 10.1242/dmm.049538.
 
50. Strain-level profiling of viable microbial community by selective single-cell genome sequencing.
Hosokawa M, Endoh T, Kamata K, Arikawa K, Nishikawa Y, Kogawa M, Saeki T, Yoda T, Takeyama H.
Sci Rep. 2022 Mar 15;12(1):4443. doi: 10.1038/s41598-022-08401-y.
 
49. Single-cell metabolite detection and genomics reveals uncultivated talented producer.
Kogawa M, Miyaoka R, Hemmerling F, Ando M, Yura K, Ide K, Nishikawa Y, Hosokawa M, Ise Y, Cahn JKB, Takada K, Matsunaga S, Mori T, Piel J, Takeyama H.
PNAS Nexus. 2022 Mar 2;1(1):pgab007. doi: 10.1093/pnasnexus/pgab007.

2021
 
48. Recovery of strain-resolved genomes from human microbiome through an integration framework of single-cell genomics and metagenomics.
Arikawa K, Ide K, Kogawa M, Saeki T, Yoda T, Endoh T, Matsuhashi A, Takeyama H, Hosokawa M.
Microbiome. 2021 Oct 12;9(1):202. doi: 10.1186/s40168-021-01152-4.

47. Distinctive Regulation of Emotional Behaviors and Fear-Related Gene Expression Responses in Two Extended Amygdala Subnuclei With Similar Molecular Profiles.
Ueda S, Hosokawa M, Arikawa K, Takahashi K, Fujiwara M, Kakita M, Fukada T, Koyama H, Horigane SI, Itoi K, Kakeyama M, Matsunaga H, Takeyama H, Bito H, Takemoto-Kimura S.
Front Mol Neurosci. 2021 Sep 3;14:741895. doi: 10.3389/fnmol.2021.741895.

46.Cortical transcriptome analysis after spinal cord injury reveals the regenerative mechanism of central nervous system in CRMP2 knock-in mice.
Sugeno A, Piao W, Yamazaki M, Takahashi K, Arikawa K, Matsunaga H, Hosokawa M, Tominaga D, Goshima Y, Takeyama H, Ohshima T.
Neural Regen Res. 2021 Jul;16(7):1258-1265. doi: 10.4103/1673-5374.301035.
 
45. Integration of Droplet Microfluidic Tools for Single-Cell Functional Metagenomics: An Engineering Head Start.
Conchouso D, Al-Ma'abadi A, Behzad H, Alarawi M, Hosokawa M, Nishikawa Y, Takeyama H, Mineta K, Gojobori T.
Genomics Proteomics Bioinformatics. 2021 Jun;19(3):504-518. doi: 10.1016/j.gpb.2021.03.010.

2020
 
44. Draft Genome Sequence of Okeania sp. Strain KiyG1, Assembled from Single-Amplified Genomes Collected from Cape Kiyan, Okinawa, Japan.
Lewaru MW, Nishikawa Y, Ide K, Kogawa M, Hosokawa M, Samuel AZ, Sumimoto S, Nuryadi H, Suda S, Takeyama H.
Microbiol Resour Announc. 2020 Nov 12;9(46):e00837-20. doi: 10.1128/MRA.00837-20.
 
43. Slow-Cycling Cancer Stem Cells Regulate Progression and Chemoresistance in Colon Cancer.
Shiokawa D, Sakai H, Ohata H, Miyazaki T, Kanda Y, Sekine S, Narushima D, Hosokawa M, Kato M, Suzuki Y, Takeyama H, Kambara H, Nakagama H, Okamoto K.
Cancer Res. 2020 Oct 15;80(20):4451-4464. doi: 10.1158/0008-5472.CAN-20-0378. 
 
42. High-Quality Draft Single-Cell Genome Sequences of Two Gammaproteobacteria Strains Sampled from Soil in a Strawberry Farm.
Yoda T, Arikawa K, Saeki T, Matsuhashi A, Hosokawa M.
Microbiol Resour Announc. 2020 Aug 27;9(35):e00743-20. doi: 10.1128/MRA.00743-20.
 
41. Rapid inspection method for investigating the heat processing conditions employed for chicken meat using Raman spectroscopy.
Miyaoka R, Ando M, Harada R, Osaka H, Samuel AZ, Hosokawa M, Takeyama H.
J Biosci Bioeng. 2020 Jun;129(6):700-705. doi: 10.1016/j.jbiosc.2020.01.002
 
40. Evaluation of the effects of cell-dispensing using an inkjet-based bioprinter on cell integrity by RNA-seq analysis.
Yumoto M, Hemmi N, Sato N, Kawashima Y, Arikawa K, Ide K, Hosokawa M, Seo M, Takeyama H.
Sci Rep. 2020 Apr 28;10(1):7158. doi: 10.1038/s41598-020-64193-z.
 
39. Effective microtissue RNA extraction coupled with Smart-seq2 for reproducible and robust spatial transcriptome analysis.
Yamazaki M, Hosokawa M, Arikawa K, Takahashi K, Sakanashi C, Yoda T, Matsunaga H, Takeyama H.
Sci Rep. 2020 Apr 27;10(1):7083. doi: 10.1038/s41598-020-63495-6.
 
38. Time-lapse single-cell transcriptomics reveals modulation of histone H3 for dormancy breaking in fission yeast.
Tsuyuzaki H, Hosokawa M, Arikawa K, Yoda T, Okada N, Takeyama H, Sato M.
Nat Commun. 2020 Mar 9;11(1):1265. doi: 10.1038/s41467-020-15060-y.
 
37. Single-cell genomics of uncultured bacteria reveals dietary fiber responders in the mouse gut microbiota.
Chijiiwa R, Hosokawa M, Kogawa M, Nishikawa Y, Ide K, Sakanashi C, Takahashi K, Takeyama H.
Microbiome. 2020 Jan 23;8(1):5. doi: 10.1186/s40168-019-0779-2.

2019
 
36. High-throughput identification of peptide agonists against GPCRs by co-culture of mammalian reporter cells and peptide-secreting yeast cells using droplet microfluidics.
Yaginuma K, Aoki W, Miura N, Ohtani Y, Aburaya S, Kogawa M, Nishikawa Y, Hosokawa M, Takeyama H, Ueda M.
Sci Rep. 2019 Jul 29;9(1):10920. doi: 10.1038/s41598-019-47388-x.
 
35. A CCR5+ memory subset within HIV-1-infected primary resting CD4+ T cells is permissive for replication-competent, latently infected viruses in vitro.
Terahara K, Iwabuchi R, Hosokawa M, Nishikawa Y, Takeyama H, Takahashi Y, Tsunetsugu-Yokota Y.
BMC Res Notes. 2019 Apr 29;12(1):242. doi: 10.1186/s13104-019-4281-5.
 
34. Sequential Sensing by TLR2 and Mincle Directs Immature Myeloid Cells to Protect against Invasive Group A Streptococcal Infection in Mice.
Matsumura T, Ikebe T, Arikawa K, Hosokawa M, Aiko M, Iguchi A, Togashi I, Kai S, Ohara S, Ohara N, Ohnishi M, Watanabe H, Kobayashi K, Takeyama H, Yamasaki S, Takahashi Y, Ato M.
Cell Rep. 2019 Apr 9;27(2):561-571.e6. doi: 10.1016/j.celrep.2019.03.056.

2018
 
33. Effects of short-term endurance exercise on gut microbiota in elderly men.
Taniguchi H, Tanisawa K, Sun X, Kubo T, Hoshino Y, Hosokawa M, Takeyama H, Higuchi M.
Physiol Rep. 2018 Dec;6(23):e13935. doi: 10.14814/phy2.13935.
 
32. Combinatory use of distinct single-cell RNA-seq analytical platforms reveals the heterogeneous transcriptome response.
Kashima Y, Suzuki A, Liu Y, Hosokawa M, Matsunaga H, Shirai M, Arikawa K, Sugano S, Kohno T, Takeyama H, Tsuchihara K, Suzuki Y.
Sci Rep. 2018 Feb 22;8(1):3482. doi: 10.1038/s41598-018-21161-y.
 
31. Obtaining high-quality draft genomes from uncultured microbes by cleaning and co-assembly of single-cell amplified genomes.
Kogawa M, Hosokawa M, Nishikawa Y, Mori K, Takeyama H.
Sci Rep. 2018 Feb 1;8(1):2059. doi: 10.1038/s41598-018-20384-3.
 
2017
 
30. Massively parallel whole genome amplification for single-cell sequencing using droplet microfluidics.
Hosokawa M, Nishikawa Y, Kogawa M, Takeyama H.
Sci Rep. 2017 Jul 12;7(1):5199. doi: 10.1038/s41598-017-05436-4.
 
29. Site-specific gene expression analysis using an automated tissue micro-dissection punching system.
Yoda T, Hosokawa M, Takahashi K, Sakanashi C, Takeyama H, Kambara H.
Sci Rep. 2017 Jun 28;7(1):4325. doi: 10.1038/s41598-017-04616-6.
 
28. Evaluation of cancer cell deformability by microcavity array.
Yoshino T, Tanaka T, Nakamura S, Negishi R, Shionoiri N, Hosokawa M, Matsunaga T.
Anal Biochem. 2017 Mar 1;520:16-21. doi: 10.1016/j.ab.2016.12.026.

2016
 
27. Manipulation of a Single Circulating Tumor Cell Using Visualization of Hydrogel Encapsulation toward Single-Cell Whole-Genome Amplification.
Yoshino T, Tanaka T, Nakamura S, Negishi R, Hosokawa M, Matsunaga T.
Anal Chem. 2016 Jul 19;88(14):7230-7. doi: 10.1021/acs.analchem.6b01475.

26. Bacterial inactivation by applying an alternating electromagnetic field using PAMAM dendron-modified magnetic nanoparticles
Arakaki A, Takahashi M, Hosokawa M, Matsunaga T, Tanaka T.
Electrochemistry. 2016  84(5):324-327 http://dx.doi.org/10.5796/electrochemistry.84.324

2015
 
25. Monodisperse Picoliter Droplets for Low-Bias and Contamination-Free Reactions in Single-Cell Whole Genome Amplification.
Nishikawa Y, Hosokawa M, Maruyama T, Yamagishi K, Mori T, Takeyama H.
PLoS One. 2015 Sep 21;10(9):e0138733. doi: 10.1371/journal.pone.0138733.
 
24. Development of the automated circulating tumor cell recovery system with microcavity array.
Negishi R, Hosokawa M, Nakamura S, Kanbara H, Kanetomo M, Kikuhara Y, Tanaka T, Matsunaga T, Yoshino T.
Biosens Bioelectron. 2015 May 15;67:438-42. doi: 10.1016/j.bios.2014.09.002. 
 
23. Droplet-based microfluidics for high-throughput screening of a metagenomic library for isolation of microbial enzymes.
Hosokawa M, Hoshino Y, Nishikawa Y, Hirose T, Yoon DH, Mori T, Sekiguchi T, Shoji S, Takeyama H.
Biosens Bioelectron. 2015 May 15;67:379-85. doi: 10.1016/j.bios.2014.08.059.

21. Simple and rapid CD4 testing based on large-field imaging system composed of microcavity array and two-dimensional photosensor.
Saeki T, Sugamura Y, Hosokawa M, Yoshino T, Lim TK, Harada M, Matsunaga T, Tanaka T.
Biosens Bioelectron. 2015 May 15;67:350-5. doi: 10.1016/j.bios.2014.08.051. 

20. Evaluation of a Microbial Sensor as a Tool for Antimicrobial Activity Test of Cosmetic Preservatives.
Gomyo H, Ookawa M, Oshibuchi K, Sugamura Y, Hosokawa M, Shionoiri N, Maeda Y, Matsunaga T, Tanaka T.
Biocontrol Sci. 2015;20(4):247-53. doi: 10.4265/bio.20.247.

Pre-2015
 
19. In vivo live cell imaging for the quantitative monitoring of lipids by using Raman microspectroscopy.
Hosokawa M, Ando M, Mukai S, Osada K, Yoshino T, Hamaguchi HO, Tanaka T.
Anal Chem. 2014 Aug 19;86(16):8224-30. doi: 10.1021/ac501591d. 
 
18. In situ detection of antibiotic amphotericin B produced in Streptomyces nodosus using Raman microspectroscopy.
Miyaoka R, Hosokawa M, Ando M, Mori T, Hamaguchi HO, Takeyama H.
Mar Drugs. 2014 May 13;12(5):2827-39. doi: 10.3390/md12052827.
 
17. Digital cell counting device integrated with a single-cell array.
Saeki T, Hosokawa M, Lim TK, Harada M, Matsunaga T, Tanaka T.
PLoS One. 2014 Feb 13;9(2):e89011. doi: 10.1371/journal.pone.0089011. 

16. Monitoring of cellular behaviors by microcavity array-based single-cell patterning.
Osada K, Hosokawa M, Yoshino T, Tanaka T.
Analyst. 2014 Jan 21;139(2):425-30. doi: 10.1039/c3an01698f.
 
15. Electrochemical disinfection of fish pathogens in seawater without the production of a lethal concentration of chlorine using a flow reactor.
Tanaka T, Shimoda M, Shionoiri N, Hosokawa M, Taguchi T, Wake H, Matsunaga T.
J Biosci Bioeng. 2013 Oct;116(4):480-4. doi: 10.1016/j.jbiosc.2013.04.013. 

14. Size-based isolation of circulating tumor cells in lung cancer patients using a microcavity array system.
Hosokawa M, Kenmotsu H, Koh Y, Yoshino T, Yoshikawa T, Naito T, Takahashi T, Murakami H, Nakamura Y, Tsuya A, Shukuya T, Ono A, Akamatsu H, Watanabe R, Ono S, Mori K, Kanbara H, Yamaguchi K, Tanaka T, Matsunaga T, Yamamoto N.
PLoS One. 2013 Jun 28;8(6):e67466. doi: 10.1371/journal.pone.0067466. 
 
13. Microcavity array system for size-based enrichment of circulating tumor cells from the blood of patients with small-cell lung cancer.
Hosokawa M, Yoshikawa T, Negishi R, Yoshino T, Koh Y, Kenmotsu H, Naito T, Takahashi T, Yamamoto N, Kikuhara Y, Kanbara H, Tanaka T, Yamaguchi K, Matsunaga T.
Anal Chem. 2013 Jun 18;85(12):5692-8. doi: 10.1021/ac400167x. 

12. Monitoring of benzene-induced hematotoxicity in mice by serial leukocyte counting using a microcavity array.
Hosokawa M, Asami M, Yoshino T, Tsujimura N, Takahashi M, Nakasono S, Tanaka T, Matsunaga T.
Biosens Bioelectron. 2013 Feb 15;40(1):110-4. doi: 10.1016/j.bios.2012.06.043. 

11. Efficient DNA release from PAMAM dendrimer-modified superparamagnetic nanoparticles for DNA recovery
Arakaki A, Shibata K, Mogi T, Hosokawa M, Hatakeyama K, Gomyo H, Taguchi T, Wake H, Tanaami T, Matsunaga T.       Polymer journal.  2012  44(6):672-677  https://doi.org/10.1038/pj.2012.32
 
10. Leukocyte counting from a small amount of whole blood using a size-controlled microcavity array.
Hosokawa M, Asami M, Nakamura S, Yoshino T, Tsujimura N, Takahashi M, Nakasono S, Tanaka T, Matsunaga T.
Biotechnol Bioeng. 2012 Aug;109(8):2017-24. doi: 10.1002/bit.24471. 

9. Characterization of magnetic nanoparticles modified with thiol functionalized PAMAM dendron for DNA recovery.
Tanaka T, Shibata K, Hosokawa M, Hatakeyama K, Arakaki A, Gomyo H, Mogi T, Taguchi T, Wake H, Tanaami T, Matsunaga T.
J Colloid Interface Sci. 2012 Jul 1;377(1):469-75. doi: 10.1016/j.jcis.2012.03.039. 
 
8. Assessment of benzene-induced hematotoxicity using a human-like hematopoietic lineage in NOD/Shi-scid/IL-2Rγnull mice.
Takahashi M, Tsujimura N, Yoshino T, Hosokawa M, Otsuka K, Matsunaga T, Nakasono S.
PLoS One. 2012;7(12):e50448. doi: 10.1371/journal.pone.0050448. 

7. Microfluidic device with chemical gradient for single-cell cytotoxicity assays.
Hosokawa M, Hayashi T, Mori T, Yoshino T, Nakasono S, Matsunaga T.
Anal Chem. 2011 May 15;83(10):3648-54. doi: 10.1021/ac2000225. 

6. Real-time detection of DNA hybridization on microarray using a CCD-based imaging system equipped with a rotated microlens array disk.
Mogi T, Hatakeyama K, Taguchi T, Wake H, Tanaami T, Hosokawa M, Tanaka T, Matsunaga T.
Biosens Bioelectron. 2011 Jan 15;26(5):1942-6. doi: 10.1016/j.bios.2010.07.015. 

5. Size-selective microcavity array for rapid and efficient detection of circulating tumor cells.
Hosokawa M, Hayata T, Fukuda Y, Arakaki A, Yoshino T, Tanaka T, Matsunaga T.
Anal Chem. 2010 Aug 1;82(15):6629-35. doi: 10.1021/ac101222x.
 
4. TCR-beta repertoire analysis of antigen-specific single T cells using a high-density microcavity array.
Arakaki A, Ooya K, Akiyama Y, Hosokawa M, Komiyama M, Iizuka A, Yamaguchi K, Matsunaga T.
Biotechnol Bioeng. 2010 Jun 1;106(2):311-8. doi: 10.1002/bit.22663.

3. Preparation of genomic DNA from a single species of uncultured magnetotactic bacterium by multiple-displacement amplification.
Arakaki A, Shibusawa M, Hosokawa M, Matsunaga T.
Appl Environ Microbiol. 2010 Mar;76(5):1480-5. doi: 10.1128/AEM.02124-09. 
 
2. High-density microcavity array for cell detection: single-cell analysis of hematopoietic stem cells in peripheral blood mononuclear cells.
Hosokawa M, Arakaki A, Takahashi M, Mori T, Takeyama H, Matsunaga T.
Anal Chem. 2009 Jul 1;81(13):5308-13. doi: 10.1021/ac900535h.

1. High-efficiency single-cell entrapment and fluorescence in situ hybridization analysis using a poly(dimethylsiloxane) microfluidic device integrated with a black poly(ethylene terephthalate) micromesh.
Matsunaga T, Hosokawa M, Arakaki A, Taguchi T, Mori T, Tanaka T, Takeyama H.
Anal Chem. 2008 Jul 1;80(13):5139-45. doi: 10.1021/ac800352j. 

​​和文総説・解説

  1. 実験医学、【あなたのラボから薬を生み出す アカデミア創薬の実践 All JAPAN体制の先端技術支援を利用した創薬の最前線】(第1章)最新の疾患標的分子の探索・評価技術 シングルセル/微小組織マルチオミクス解析、由良 敬, 松永 浩子, 細川 正人, 和泉 自泰, 村松 知成, 福永 津嵩, 浜田 道昭, 馬場 健史, 竹山 春子、42(2) 199-204 2024年2月  

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  3. 酵素工学ニュ-ス、未培養微生物遺伝子の大規模データを活用した酵素探索、細川正人, 細川正人, 津田宗一郎、(90) 2023年

  4. バイオサイエンスとインダストリー、未培養微生物群集からの網羅的1細胞ゲノム解析法の開発、細川 正人、80(4) 354-355 2022年7月

  5. 実験医学増刊、【臨床実装が進む 次世代がんバイオマーカー 新規の検出技術、AIが加速するリキッドバイオプシーとその先の診断モダリティ】(第2章)新たながん診断モダリティと検出技術 マイクロバイオームを利用したがん診断技術の開発動向、佐伯 達也, 笹倉 由貴江, 細川 正人、40(10) 1529-1536 2022年6月

  6. 生物工学会誌、【若手研究者が拓くこれからの生物工学(後編)】細菌叢のシングルセル解析、細川 正人、100(6) 298-301 2022年6月

  7. 産学官連携ジャーナル、経済産業大臣賞 膨大な微生物ゲノムデータベースを活用してバイオものづくり産業を革新する、細川 正人、18(10) 9-10 2022年

  8. 生物工学会誌、Interview 2、細川 正人、99(8) 444-445 2021年8月25日

  9. 医学のあゆみ、【1細胞解析-技術と応用】技術 1細胞ゲノム解析で多様な細菌叢を捉える、細川 正人, 小川 雅人、276(10) 947-954 2021年3月

  10. バイオサイエンスとインダストリー、シングルセルRNA-seq解析から明らかになった分裂酵母の目覚め機構、露崎 隼, 細川 正人, 竹山 春子, 佐藤 政充、78(6) 507-509 2020年11月

  11. 日本乳酸菌学会誌、環境細菌のシングルセルゲノム解析 微小液滴を用いたゲノム解析手法とその応用例、西川 洋平, 細川 正人, 小川 雅人, 竹山 春子、31(1) 17-24 2020年3月

  12. 実験医学増刊、【シングルセルゲノミクス 組織の機能、病態が1細胞レベルで見えてきた!】(第3章)技術開発 マイクロバイオームのシングルセル解析、細川 正人, 小川 雅人, 竹山 春子、37(20) 3521-3526 2019年12月

  13. 月刊BIOINDUSTRY「環境微生物のシングルセルゲノム解析に向けた技術基盤」細川正人、丸山徹、西川洋平、竹山春子,2017年,シーエムシー出版(分担執筆)

  14. 生体の科学、難培養微生物を対象としたシングルセルゲノミクスの課題と展望 (特集 細菌叢解析の光と影) -- (ゲノム進化・メタゲノム)、細川 正人, 西川 洋平, 竹山 春子、68(2) 150-154 2017年3月

  15. Chemical sensors = 化学センサ 、ドロップレット・マイクロフルイディクスによる超並列シングルセル解析、細川 正人, 西川 洋平, 竹山 春子、32(4) 159-165 2016年

著書

  1. 未培養微生物研究の最新動向 監修：青柳秀紀 　細川正人 (担当:分担執筆, 範囲:第 10 章 未培養微生物を活用するための シングルセルゲノム解析)、シーエムシー出版 2023年4月

  2. シングルセル解析でなにがわかるか　竹山春子、細川正人編 2020年、化学同人

  3. AI導入によるバイオテクノロジーの発展 微生物のゲノム情報のビッグデータ化とAIの項 細川正人、五條堀孝、竹山春子,2018年,シーエムシー出版(分担執筆)

  4. 「生命のビッグデータの最前線」分担執筆：“第3章-4 海洋遺伝子資源の新しいオミックス解析への挑戦”　監修：植田充美　竹山春子、モリテツシ、伊藤通浩、細川正人,2014年,シーエムシー出版(分担執筆)

  5. 「シングルセル解析の最前線」分担執筆：“第4章-2 Microcavity arrayを用いた細胞集積化技術とmRNA発現解析への応用”　 pp. 215-222. 監修：神原秀記・松永是・植田充美　松永是、細川正人,2010年,シーエムシー出版(分担執筆)

​メディア

  1. 2023年2月28日 日刊工業新聞Webメディア「ニュースイッチ」「微生物で石油化学製品の代替品。カーボンニュートラルのカギを握る「バイオファウンドリ」とは？」

  2. 2023年2月9日 日刊工業新聞Webメディア「ニュースイッチ」「【ディープテックを追え】微生物ゲノムの「地図」を作るスタートアップの正体」

  3. 2023年2月6日 日経新聞「菌を狙うゴールドラッシュ」

  4. 2023年1月16日 Bloomberg” Japan: Where Innovation is borderless”

  5. 2022年10月21日 JST産学官連携ジャーナルで経済産業大臣賞受賞企業として紹介

  6. 2021年4月12日 東洋経済4月17日号『沸騰！医療テックベンチャー』の「医療を変える新旗手たち 有望ベンチャー21社」

  7. 2020年6月22日 化学工業日報「微生物ゲノム シングルセル解析　bitBiome 株レベルで精緻に」

  8. 2020年5月26日 日経産業新聞「菌テック 地道に菌力増強」

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