日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

KLF2 expression in IgG plasma cells at their induction site regulates the migration program

IgG浆细胞在其诱导部位的KLF2表达调控其迁移程序

Wataru Ise # ,Takuya Koike # ,Nozomi Shimada ,Hiromi Yamamoto ,Yuki Tai ,Taiichiro Shirai ,Ryoji Kawakami ,Mana Kuwabara ,Chie Kawai ,Kyoko Shida ,Takeshi Inoue ,Nozomi Hojo ,Kenji Ichiyama ,Shimon Sakaguchi ,Katsuyuki Shiroguchi ,Kazuhiro Suzuki ,Tomohiro Kurosaki

Finding differentially expressed genes between cell fates predicted by image-based deep learning

利用基于图像的深度学习,寻找不同细胞命运之间的差异表达基因

Tomoaki Okaniwa ,Kirill Kryukov ,Katsuyuki Shiroguchi

Pigmentation level of human iPSC-derived RPE does not indicate a specific gene expression profile

人类 iPSC 衍生的 RPE 的色素沉着水平并不表明特定的基因表达谱

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

Integration of single-cell manipulation, whole transcriptome analysis, and image-based deep learning for studying "Singularity Biology"

整合单细胞操作、全转录组分析和基于图像的深度学习来研究“奇点生物学”

Shiroguchi, Katsuyuki

Long journey of 16S rRNA-amplicon sequencing toward cell-based functional bacterial microbiota characterization

16S rRNA扩增子测序迈向基于细胞的功能性细菌微生物群表征的漫长征程

Jin, Jianshi; Liu, Xiongduo; Shiroguchi, Katsuyuki

CD45 alleviates airway inflammation and lung fibrosis by limiting expansion and activation of ILC2s

CD45通过限制ILC2的扩增和活化来减轻气道炎症和肺纤维化。

Cui, Guangwei; Shimba, Akihiro; Jin, Jianshi; Hojo, Nozomi; Asahi, Takuma; Abe, Shinya; Ejima, Aki; Okada, Shinri; Ohira, Keizo; Kato, Ryoma; Tani-Ichi, Shizue; Yamada, Ryo; Ebihara, Takashi; Shiroguchi, Katsuyuki; Ikuta, Koichi

Identifying a Lung Stem Cell Subpopulation by Combining Single-Cell Morphometrics, Organoid Culture, and Transcriptomics

结合单细胞形态测量、类器官培养和转录组学识别肺干细胞亚群

Takashi Fujimura, Yasunori Enomoto, Hiroaki Katsura, Taisaku Ogawa, Saori Baba, Akira Ogata, Akira Yamaoka, Katsuyuki Shiroguchi, Mitsuru Morimoto

Robotic data acquisition with deep learning enables cell image-based prediction of transcriptomic phenotypes

借助深度学习的机器人数据采集,可以基于细胞图像预测转录组表型

Jianshi Jin, Taisaku Ogawa, Nozomi Hojo, Kirill Kryukov, Kenji Shimizu, Tomokatsu Ikawa, Tadashi Imanishi, Taku Okazaki, Katsuyuki Shiroguchi

High-throughput identification and quantification of single bacterial cells in the microbiota

微生物群中单个细菌细胞的高通量鉴定和定量

Jianshi Jin, Reiko Yamamoto, Tadashi Takeuchi, Guangwei Cui, Eiji Miyauchi, Nozomi Hojo, Koichi Ikuta, Hiroshi Ohno, Katsuyuki Shiroguchi

Different cell imaging methods did not significantly improve immune cell image classification performance

不同的细胞成像方法并未显著提高免疫细胞图像分类性能。

Taisaku Ogawa ,Koji Ochiai ,Tomoharu Iwata ,Tomokatsu Ikawa ,Taku Tsuzuki ,Katsuyuki Shiroguchi ,Koichi Takahashi