Time-course microarray transcriptome data of in vitro cultured testes and age-matched in vivo testes
Takeru Abe,
Hajime Nishimura,
Takuya Sato,
Harukazu Suzuki,
Takehiko Ogawa,
Takahiro Suzuki
Affiliations
Takeru Abe
Biopharmaceutical and Regenerative Sciences, Graduate School of Medical Life Science, Yokohama City University, Yokohama, Kanagawa, Japan; Laboratory for Cellular Function Conversion Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
Hajime Nishimura
Laboratory for Cellular Function Conversion Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
Takuya Sato
Biopharmaceutical and Regenerative Sciences, Graduate School of Medical Life Science, Yokohama City University, Yokohama, Kanagawa, Japan
Harukazu Suzuki
Laboratory for Cellular Function Conversion Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
Takehiko Ogawa
Biopharmaceutical and Regenerative Sciences, Graduate School of Medical Life Science, Yokohama City University, Yokohama, Kanagawa, Japan; Corresponding author.
Takahiro Suzuki
Laboratory for Cellular Function Conversion Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan; Functional Genomics, Graduate School of Medical Life Science, Yokohama City University, Yokohama, Kanagawa, Japan; Corresponding author at: Laboratory for Cellular Function Conversion Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.
In vitro spermatogenesis, which produces fertile spermatozoa, has been successfully performed using an organ culture method from murine tissue. Here, we provide a dataset of time-course microarray transcriptome data of in vitro cultured neonate murine testes and age-matched in vivo-derived testes. The dataset presented here is related to the article titled “Transcriptome analysis reveals inadequate spermatogenesis and immediate radical immune reactions during organ culture in vitro spermatogenesis” published in Biochemical and Biophysical Research Communications in 2020 [1]. The raw data and pre-processed data are publicly available on the GEO repository (accession number GSE147982). Furthermore, the dataset provided here includes additional metadata, detailed explanations of the experiment, results of pre-processing, analysis scripts, and lists of differentially expressed genes from in vitro culture testes and in vivo testes at each time point.
