Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Katsuyuki Shiroguchi"'
Autor:
Katsuyuki Shiroguchi
Publikováno v:
Biophysics and Physicobiology, Vol 21 (2024)
Externí odkaz:
https://doaj.org/article/57953ebf98ac43668b3de223969c7945
Autor:
Yoko Nakai-Futatsugi, Jianshi Jin, Taisaku Ogawa, Noriko Sakai, Akiko Maeda, Ken-ichi Hironaka, Masakazu Fukuda, Hiroki Danno, Yuji Tanaka, Seiji Hori, Katsuyuki Shiroguchi, Masayo Takahashi
Publikováno v:
eLife, Vol 12 (2024)
Retinal pigment epithelium (RPE) cells show heterogeneous levels of pigmentation when cultured in vitro. To know whether their color in appearance is correlated with the function of the RPE, we analyzed the color intensities of human-induced pluripot
Externí odkaz:
https://doaj.org/article/b162e8687bbd46589f6c9c549f0b2e97
Autor:
Jianshi Jin, Reiko Yamamoto, Tadashi Takeuchi, Guangwei Cui, Eiji Miyauchi, Nozomi Hojo, Koichi Ikuta, Hiroshi Ohno, Katsuyuki Shiroguchi
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
Here, Jin et al., develop a method called Barcoding Bacteria for Identification and Quantification (BarBIQ), which allows to both characterize the global microbiome and to identify and quantify single-cell bacterial members in a high-throughput manne
Externí odkaz:
https://doaj.org/article/d02dad6214bb402db0ad51ba6212d028
Autor:
Taisaku Ogawa, Koji Ochiai, Tomoharu Iwata, Tomokatsu Ikawa, Taku Tsuzuki, Katsuyuki Shiroguchi, Koichi Takahashi
Publikováno v:
PLoS ONE, Vol 17, Iss 1, p e0262397 (2022)
Developments in high-throughput microscopy have made it possible to collect huge amounts of cell image data that are difficult to analyse manually. Machine learning (e.g., deep learning) is often employed to automate the extraction of information fro
Externí odkaz:
https://doaj.org/article/8c0162193a03487aaac86967da093edc
Autor:
Shunsuke Kimura, Yutaka Nakamura, Nobuhide Kobayashi, Katsuyuki Shiroguchi, Eiryo Kawakami, Mami Mutoh, Hiromi Takahashi-Iwanaga, Takahiro Yamada, Meri Hisamoto, Midori Nakamura, Nobuyuki Udagawa, Shintaro Sato, Tsuneyasu Kaisho, Toshihiko Iwanaga, Koji Hase
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
Microfold cells (M cells) sit at the gut epithelial surface to sample antigens and maintain local immune homeostasis. Here the authors show that M cells are feedback-regulated by M cell-originated osteoprotegerin (OPG) to suppress RNAKL-induced M cel
Externí odkaz:
https://doaj.org/article/99645e0b7f85428f9c603bf38fe18aa1
Autor:
Kazuhiro Kakimi, Hirokazu Matsushita, Masaaki Komatsu, Eiryo Kawakami, Mikako Nishida, Nahoko Yamashita, Taisaku Ogawa, Keita Koseki, Eiji Warabi, Tomoyuki Ohue, Katsuyuki Shiroguchi, Heiichiro Udono
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 9, Iss 9 (2021)
Externí odkaz:
https://doaj.org/article/ea6e95b1875f4efea28894d8d086bffc
Autor:
Chizuko Miyamoto, Satoshi Kojo, Motoi Yamashita, Kazuyo Moro, Georges Lacaud, Katsuyuki Shiroguchi, Ichiro Taniuchi, Takashi Ebihara
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Group 2 innate lymphoid cells (ILC2) are important mediators for allergy, but how ILC2 are regulated under chronic inflammation is still unclear. Here the authors show that Runx transcription factors, which normally suppresses ILC2 activation at stea
Externí odkaz:
https://doaj.org/article/57a0fb2492674412976b7549e953c0c3
Autor:
Hirofumi Aso, Shumpei Nagaoka, Eiryo Kawakami, Jumpei Ito, Saiful Islam, Benjy Jek Yang Tan, Shinji Nakaoka, Koichi Ashizaki, Katsuyuki Shiroguchi, Yutaka Suzuki, Yorifumi Satou, Yoshio Koyanagi, Kei Sato
Publikováno v:
Cell Reports, Vol 32, Iss 2, Pp 107887- (2020)
Summary: For eradication of HIV-1 infection, it is important to elucidate the detailed features and heterogeneity of HIV-1-infected cells in vivo. To reveal multiple characteristics of HIV-1-producing cells in vivo, we use a hematopoietic-stem-cell-t
Externí odkaz:
https://doaj.org/article/706178a7ca634893aee85034c4dbacb5
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
Abstract Accurate quantification of biomolecules in system-wide measurements is in high demand, especially for systems with limited sample amounts such as single cells. Because of this, digital quantification of nucleic acid molecules using molecular
Externí odkaz:
https://doaj.org/article/174ff9a22ba6468c8716e68dd0232a99
Autor:
Chizuko Miyamoto, Satoshi Kojo, Motoi Yamashita, Kazuyo Moro, Georges Lacaud, Katsuyuki Shiroguchi, Ichiro Taniuchi, Takashi Ebihara
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-1 (2019)
The original version of this Article contained an error in the author affiliations. Affiliation 5 incorrectly read ‘Laboratory for Prediction of Cell Systems Dynamics, RIKEN Center for Biosystems Dynamics Research (BDR), Suite, Hyogo 565-0874, Japa
Externí odkaz:
https://doaj.org/article/8dba3053bb8341ee927b90a334151e8d