RNA Sequencing Technologies at the Single Cell Level in Plants
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Publisher
Pleiades Publishing Ltd
Link
https://link.springer.com/content/pdf/10.1134/S1021443723602835.pdf
Reference111 articles.
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2. RNA-Seq for transcriptome analysis in non-model plants;R. Garg,2013
3. Krishnamurthy, A., Ferl, R.J., and Paul, A., Comparing RNA-Seq and microarray gene expression data in two zones of the Arabidopsis root apex relevant to spaceflight, Appl. Plant Sci., 2018, vol. 6, p. e01197. https://doi.org/10.1002/aps3.1197
4. Kozyulina, P.Yu., Pavlova, O.A., Kantsurova (Rudaya), E.S., Bovin, A.D., Shirobokova, S.A., Dolgikh, A.V., Dymo, A.M., and Dolgikh, E.A., Transcriptomic analysis of pea plant responses to chitooligosaccharides treatment revealed stimulation of mitogen-activated protein kinase cascade, Front. Plant Sci., 2023, vol. 14, p. 1092013. https://doi.org/10.3389/fpls.2023.1092013
5. Li, J.R., Liu, C.C., Sun, C.H., and Chen, Y.T., Plant stress RNA-seq Nexus: a stress-specific transcriptome database in plant cells, BMC Genomics, 2018, vol. 19, p. 966. https://doi.org/10.1186/s12864-018-5367-5
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