Selected article for: "cell resolution and single cell resolution"

Author: Sousa, Carole; Golebiewska, Anna; Poovathingal, Suresh K; Kaoma, Tony; Pires-Afonso, Yolanda; Martina, Silvia; Coowar, Djalil; Azuaje, Francisco; Skupin, Alexander; Balling, Rudi; Biber, Knut; Niclou, Simone P; Michelucci, Alessandro
Title: Single-cell transcriptomics reveals distinct inflammation-induced microglia signatures
  • Document date: 2018_9_11
  • ID: 0662rivp_27
    Snippet: We agree with the reviewer that this information would strengthen the study. Accordingly to the reviewer's suggestion, we further characterized selected genes identified at single-cell resolution. To achieve this, we applied flow cytometry to analyse the expression levels of markers up-regulated in both LPS groups (e.g. CD44), only in "main LPS" (e.g. CD14 and CD274) or only in "subset LPS (e.g. NOTCH4) (please see the figure below). Although 3-4.....
    Document: We agree with the reviewer that this information would strengthen the study. Accordingly to the reviewer's suggestion, we further characterized selected genes identified at single-cell resolution. To achieve this, we applied flow cytometry to analyse the expression levels of markers up-regulated in both LPS groups (e.g. CD44), only in "main LPS" (e.g. CD14 and CD274) or only in "subset LPS (e.g. NOTCH4) (please see the figure below). Although 3-4 markers used simultaneously did not allowed to clearly discriminate the "subset LPS" from the "main LPS" population, changes in the proportion of marker positive cells are in line with the scRNAseq data, as a smaller proportion of NOTCH4 positive cells was detected upon LPS treatment compared to CD14. We would like to receive the reviewer's advice whether these data should be included in the manuscript.

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