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Peer-Review Record

Temporal Gene Expression Profiles Reflect the Dynamics of Lymphoid Differentiation

Int. J. Mol. Sci. 2022, 23(3), 1115; https://doi.org/10.3390/ijms23031115
by Smahane Chalabi 1,2, Agnes Legrand 3, Victoria Michaels 3, Marie-Ange Palomares 1, Robert Olaso 1, Anne Boland 1, Jean-François Deleuze 1, Sophie Ezine 3,*, Christophe Battail 1,4,† and Diana Tronik-Le Roux 5,6,†
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Int. J. Mol. Sci. 2022, 23(3), 1115; https://doi.org/10.3390/ijms23031115
Submission received: 14 December 2021 / Revised: 10 January 2022 / Accepted: 16 January 2022 / Published: 20 January 2022
(This article belongs to the Section Molecular Immunology)

Round 1

Reviewer 1 Report

In this study, the authors reported the quantitative transcriptome of two heterogeneous multipotent progenitors’ subsets and the common lymphoid progenitor. Using deep RNA-sequencing of the whole transcriptome of three different lymphoid cell populations in mice, this study found potential new markers to improve purification of lymphoid populations. Some issues need to be addressed before this manuscript can be further evaluated. Here are my recommendations:

  1. Figure 1 to 7. The right parts of the figures were not completely shown. Please confirm the layout.
  2. Please check the citation style in the text.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Chalabi et al present here results of a study on gene expression profile changes at specific stages of hematopoietic differentiation, focused on early lymphoid specification. By purifying 3 immunophenotypically different prgenitor cell subsets (corresponding to multipotent progenitors and common lymphoid progenitors) and studying the transcriptomes of each populations, the authors found difference in the expression of set of genes and genetic programs the mark the transition towards lymphoid commitment. The work is well designed and performed. Some of the finding from the transcriptome analysis have been confirmed by RTqPCR or by flow cytometry, increasing the value of the bioinformatic analysis. The authors also focused on lncRNAs at this stages of hematopoietic differentiation. Although this part of the work has not been further validated as the previous one, the novelty is worth reporting.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Thank you for the reply. All my concerns have been addressed. 

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