Data availability
Raw data for the mouse reprogramming scRNA-seq are available for download from NCBI Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo) under project number: GSE122662. mES cell differentiation scRNA-seq data are available publicly20. All other data are available at google.com/storage/browser/raman2rna”>https://console.cloud.google.com/storage/browser/raman2rna.
Code availability
Code for R2R are available at https://github.com/kosekijkk/raman2rna. Control software for the multimodal Raman microscope are available at https://github.com/kosekijkk/multimodal-raman-acq.
References
-
Tanay, A. & Regev, A. Scaling single-cell genomics from phenomenology to mechanism. Nature 541, 331–338 (2017). Article CAS PubMed PubMed Central Google Scholar
-
Trapnell, C. et al. The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat. Biotechnol. 32, 381–386 (2014). Article CAS PubMed PubMed Central Google Scholar
-
Schiebinger, G. et al. Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming. Cell 176, 928–943.e22 (2019). Article CAS PubMed PubMed Central Article
CAS
PubMed
PubMed Central
Google Scholar -
Wei, L. et al. Super-multiplex vibrational imaging. Nature 544, 465–470 (2017).
-
Chen, W. et al. Live-seq enables temporal transcriptomic recording of single cells. Nature https://doi.org/10.1038/s41586-022-05046-9 (2022).
-
Kobayashi-Kirschvink, K. J. et al. Linear regression links transcriptomic data and cellular Raman spectra.

