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tr1 cell subset  (ROHHAD Fight Inc)

 
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    Structured Review

    ROHHAD Fight Inc tr1 cell subset
    Immunophenotype of PBMNC. The percentage of cells expressing different lineage markers for T cells (CD3, CD3/CD8, CD4, TCRαβ, TCRγδ), B cells (CD19), NK cells (CD16, CD56), regulatory B cells (Breg, CD19, CD38, and CD24), regulatory T cells (Treg, CD4, CD25, and CD127) and type 1 regulatory T cells <t>(Tr1,</t> CD4, CD45RO, LAG-3, and CD49b) has been evaluated by flow cytometry on PBMNC cells from patients affected by ROHHAD (n = 4, black squares), ROHHAD-NET (n = 4, gray triangles), and control individuals (n = 6, white dots). Results are expressed as number of cells/μL, which has been calculated as follows: (number of lymphocytes/μL × percentage of positive cells)/100. Horizontal bars indicated medians. P values are indicated where differences are statistically significant.
    Tr1 Cell Subset, supplied by ROHHAD Fight Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/tr1+cell+subset/tr1+cell+subset/pmc10411042-159-0-4
    Average 90 stars, based on 1 article reviews
    tr1 cell subset - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Blood Lymphocyte Subsets and Proinflammatory Cytokine Profile in ROHHAD(NET) and non-ROHHAD(NET) Obese Individuals"

    Article Title: Blood Lymphocyte Subsets and Proinflammatory Cytokine Profile in ROHHAD(NET) and non-ROHHAD(NET) Obese Individuals

    Journal: Journal of the Endocrine Society

    doi: 10.1210/jendso/bvad103

    Immunophenotype of PBMNC. The percentage of cells expressing different lineage markers for T cells (CD3, CD3/CD8, CD4, TCRαβ, TCRγδ), B cells (CD19), NK cells (CD16, CD56), regulatory B cells (Breg, CD19, CD38, and CD24), regulatory T cells (Treg, CD4, CD25, and CD127) and type 1 regulatory T cells (Tr1, CD4, CD45RO, LAG-3, and CD49b) has been evaluated by flow cytometry on PBMNC cells from patients affected by ROHHAD (n = 4, black squares), ROHHAD-NET (n = 4, gray triangles), and control individuals (n = 6, white dots). Results are expressed as number of cells/μL, which has been calculated as follows: (number of lymphocytes/μL × percentage of positive cells)/100. Horizontal bars indicated medians. P values are indicated where differences are statistically significant.
    Figure Legend Snippet: Immunophenotype of PBMNC. The percentage of cells expressing different lineage markers for T cells (CD3, CD3/CD8, CD4, TCRαβ, TCRγδ), B cells (CD19), NK cells (CD16, CD56), regulatory B cells (Breg, CD19, CD38, and CD24), regulatory T cells (Treg, CD4, CD25, and CD127) and type 1 regulatory T cells (Tr1, CD4, CD45RO, LAG-3, and CD49b) has been evaluated by flow cytometry on PBMNC cells from patients affected by ROHHAD (n = 4, black squares), ROHHAD-NET (n = 4, gray triangles), and control individuals (n = 6, white dots). Results are expressed as number of cells/μL, which has been calculated as follows: (number of lymphocytes/μL × percentage of positive cells)/100. Horizontal bars indicated medians. P values are indicated where differences are statistically significant.

    Techniques Used: Expressing, Flow Cytometry, Control

    Related Articles

    Activation Assay:

    Article Title: Blood Lymphocyte Subsets and Proinflammatory Cytokine Profile in ROHHAD(NET) and non-ROHHAD(NET) Obese Individuals
    Article Snippet: Tr1 increase in our ROHHAD(NET) cohort could represent a consequence of the autoimmune activation in our patients, to be interpreted as an ineffective attempt to control such response, but this hypothesis needs to be confirmed.

    Control:

    Article Title: Blood Lymphocyte Subsets and Proinflammatory Cytokine Profile in ROHHAD(NET) and non-ROHHAD(NET) Obese Individuals
    Article Snippet: Tr1 increase in our ROHHAD(NET) cohort could represent a consequence of the autoimmune activation in our patients, to be interpreted as an ineffective attempt to control such response, but this hypothesis needs to be confirmed.

    Expressing:

    Article Title: Blood Lymphocyte Subsets and Proinflammatory Cytokine Profile in ROHHAD(NET) and non-ROHHAD(NET) Obese Individuals
    Article Snippet: Tr1 increase in our ROHHAD(NET) cohort could represent a consequence of the autoimmune activation in our patients, to be interpreted as an ineffective attempt to control such response, but this hypothesis needs to be confirmed.

    Flow Cytometry:

    Article Title: Blood Lymphocyte Subsets and Proinflammatory Cytokine Profile in ROHHAD(NET) and non-ROHHAD(NET) Obese Individuals
    Article Snippet: Tr1 increase in our ROHHAD(NET) cohort could represent a consequence of the autoimmune activation in our patients, to be interpreted as an ineffective attempt to control such response, but this hypothesis needs to be confirmed.



    Similar Products

    tr1 cell subset  (ROHHAD Fight Inc)
    90
    ROHHAD Fight Inc tr1 cell subset
    Immunophenotype of PBMNC. The percentage of cells expressing different lineage markers for T cells (CD3, CD3/CD8, CD4, TCRαβ, TCRγδ), B cells (CD19), NK cells (CD16, CD56), regulatory B cells (Breg, CD19, CD38, and CD24), regulatory T cells (Treg, CD4, CD25, and CD127) and type 1 regulatory T cells <t>(Tr1,</t> CD4, CD45RO, LAG-3, and CD49b) has been evaluated by flow cytometry on PBMNC cells from patients affected by ROHHAD (n = 4, black squares), ROHHAD-NET (n = 4, gray triangles), and control individuals (n = 6, white dots). Results are expressed as number of cells/μL, which has been calculated as follows: (number of lymphocytes/μL × percentage of positive cells)/100. Horizontal bars indicated medians. P values are indicated where differences are statistically significant.
    Tr1 Cell Subset, supplied by ROHHAD Fight Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/tr1+cell+subset/tr1+cell+subset/pmc10411042-159-0-4
    Average 90 stars, based on 1 article reviews
    tr1 cell subset - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Immunophenotype of PBMNC. The percentage of cells expressing different lineage markers for T cells (CD3, CD3/CD8, CD4, TCRαβ, TCRγδ), B cells (CD19), NK cells (CD16, CD56), regulatory B cells (Breg, CD19, CD38, and CD24), regulatory T cells (Treg, CD4, CD25, and CD127) and type 1 regulatory T cells (Tr1, CD4, CD45RO, LAG-3, and CD49b) has been evaluated by flow cytometry on PBMNC cells from patients affected by ROHHAD (n = 4, black squares), ROHHAD-NET (n = 4, gray triangles), and control individuals (n = 6, white dots). Results are expressed as number of cells/μL, which has been calculated as follows: (number of lymphocytes/μL × percentage of positive cells)/100. Horizontal bars indicated medians. P values are indicated where differences are statistically significant.

    Journal: Journal of the Endocrine Society

    Article Title: Blood Lymphocyte Subsets and Proinflammatory Cytokine Profile in ROHHAD(NET) and non-ROHHAD(NET) Obese Individuals

    doi: 10.1210/jendso/bvad103

    Figure Lengend Snippet: Immunophenotype of PBMNC. The percentage of cells expressing different lineage markers for T cells (CD3, CD3/CD8, CD4, TCRαβ, TCRγδ), B cells (CD19), NK cells (CD16, CD56), regulatory B cells (Breg, CD19, CD38, and CD24), regulatory T cells (Treg, CD4, CD25, and CD127) and type 1 regulatory T cells (Tr1, CD4, CD45RO, LAG-3, and CD49b) has been evaluated by flow cytometry on PBMNC cells from patients affected by ROHHAD (n = 4, black squares), ROHHAD-NET (n = 4, gray triangles), and control individuals (n = 6, white dots). Results are expressed as number of cells/μL, which has been calculated as follows: (number of lymphocytes/μL × percentage of positive cells)/100. Horizontal bars indicated medians. P values are indicated where differences are statistically significant.

    Article Snippet: Tr1 increase in our ROHHAD(NET) cohort could represent a consequence of the autoimmune activation in our patients, to be interpreted as an ineffective attempt to control such response, but this hypothesis needs to be confirmed.

    Techniques: Expressing, Flow Cytometry, Control