Integration of single-cell manipulation, whole transcriptome analysis, and image-based deep learning for studying “Singularity Biology”
Author:
Affiliation:
1. RIKEN Center for Biosystems Dynamics Research (BDR)
Publisher
Biophysical Society of Japan
Link
https://www.jstage.jst.go.jp/article/biophysico/21/Supplemental/21_e211005/_pdf
Reference10 articles.
1. [1] Horikawa, K., Takemoto, T. Analysis of the singularity cells controlling the pattern formation in multi-cellular systems. Biophys. Physicobiol. e211001 (2024). https://doi.org/10.2142/biophysico.bppb-v21.s001
2. [2] Jin, J., Ogawa, T., Hojo, N., Kryukov, K., Shimizu, K., Ikawa, T., et al. Robotic data acquisition with deep learning enables cell image-based prediction of transcriptomic phenotypes. Proc. Natl. Acad. Sci. U.S.A. 120, e2210283120 (2023). https://doi.org/10.1073/pnas.2210283120
3. [3] Kakizuka, T., Hara, Y., Ohta, Y., Mukai, A., Ichiraku, A., Arai, Y., et al. Cellular logics bringing the symmetry breaking in spiral nucleation revealed by trans-scale imaging. bioRxiv (2020). https://doi.org/10.1101/2020.06.29.176891
4. [4] Ogawa, T., Kryukov, K., Imanishi, T., Shiroguchi, K. The efficacy and further functional advantages of random-base molecular barcodes for absolute and digital quantification of nucleic acid molecules. Sci. Rep. 7, 13576 (2017). https://doi.org/10.1038/s41598-017-13529-3
5. [5] Takahashi, S., Ochiai, S., Jin, J., Takahashi, N., Toshima, S., Ishigame, H., et al. Sensory neuronal STAT3 is critical for IL-31 receptor expression and inflammatory itch. Cell Rep. 42, 113433 (2023). https://doi.org/10.1016/j.celrep.2023.113433
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