We are out there: Singleron publication highlights 2022 22.12.20221’ Review ReferencesLin, Y., Cao, Z., Lyu, T., Kong, T., Zhang, Q., Wu, K., Wang, Y., & Zheng, J. (2022). Single-cell RNA-seq of UVB-radiated skin reveals landscape of photoaging-related inflammation and protection by vitamin D. Gene, 831, 146563. https://doi.org/10.1016/j.gene.2022.146563Zhao, X.-L., Sun, S., Yu, W., Zhu, W., Zhao, Z., Zhou, Y., Ding, X., Fang, N., Yang, R., & Li, J. P. (2022). Improved ClickTags enable live-cell barcoding for highly multiplexed single cell sequencing. RSC Chemical Biology, 3(8), 1052–1060. https://doi.org/10.1039/D2CB00046FZheng, H., Chen, Y., Li, J., Li, H., Zhao, X., Li, J., Yang, F., Li, Y., Liu, C., Qin, L., Zuo, Y., Zhang, Q., He, Z., Shi, H., Li, Q., & Liu, L. (2022). Longitudinal analyses reveal distinct immune response landscapes in lung and intestinal tissues from SARS-CoV-2-infected rhesus macaques. Cell Reports, 39(8), 110864. https://doi.org/10.1016/j.celrep.2022.110864 A post by Singleron teamCheck out our latests blog posts Learn more 23.12.12 Annual Research Roundup: 2023's Most Impactful Publications! 2023 was a busy and successful year for our scientific community. As 2023 comes to an end, it is time to look back at some of theimpactful publications from this year. Read more 23.11.22 Decoding the Biological Meaning of Your Data: The Power of Accurate Automated Cell Type Annotation Automated single cell RNA sequencing annotation streamlines analysis, saving time and improving reproducibility. Exploreautomated ‘annotation approaches and key considerations in our latest blog Read more 23.08.01 Peering into Tomorrow: The Predictive Power of Machine Learning in Single Cell Analysis Single cell analysis technologies are one of the most revolutionary advancements in recent years. However, volume and complexity of the generated data pose a significant challenge. This is where machine learning, deep learning and artificial intelligence have emergedpowerful tools Read more
23.12.12 Annual Research Roundup: 2023's Most Impactful Publications! 2023 was a busy and successful year for our scientific community. As 2023 comes to an end, it is time to look back at some of theimpactful publications from this year. Read more
23.11.22 Decoding the Biological Meaning of Your Data: The Power of Accurate Automated Cell Type Annotation Automated single cell RNA sequencing annotation streamlines analysis, saving time and improving reproducibility. Exploreautomated ‘annotation approaches and key considerations in our latest blog Read more
23.08.01 Peering into Tomorrow: The Predictive Power of Machine Learning in Single Cell Analysis Single cell analysis technologies are one of the most revolutionary advancements in recent years. However, volume and complexity of the generated data pose a significant challenge. This is where machine learning, deep learning and artificial intelligence have emergedpowerful tools Read more