CD Maps is a public portal presenting results of pilot study measuring 110 CD markers on 47 immune cell subsets. Using standardized approach across 4 laboratories, PE-conjugated CD antibodies were measured in 8-color panels allowing cell subset definition. Dataset was created from 12 replicate samples. Among other statistics the level of CD mAb bound was measured as an antibody binding capacity (ABC) using QuantiBRITE beads.

Citation: Kalina T, Fišer K, Pérez-Andrés M, Kuzílková D, Cuenca M, Bartol SJW, Blanco E, Engel P and van Zelm MC (2019) CD Maps—Dynamic Profiling of CD1–CD100 Surface Expression on Human Leukocyte and Lymphocyte Subsets. Front. Immunol. 10:2434. doi: 10.3389/fimmu.2019.02434

CDMaps is a project of Human Cell Differentiation Molecules organisation (www.hcdm.org). HCDM runs HLDA (Human Leucocyte Differentiation Antigens) Workshops and names and characterizes CD molecules.

How to use this site

This site provides interactive browsing and analytic interrogation of CD Maps data. Each tab in the header leads to one question (Q1, Q2, Q3, etc.) or angle from which to look at the data. After clicking on the tab the user is allowed to select and filter parts of the date and to plot one type of graphical representation of the data similar to what we presented in the original paper. The questions are as follows:

• Q1 - How CD markers change during maturation?
  
• Q2 - What is CD markers expression on a subset of cells?
  
• Q3 - Which markers are significantly different between cell populations?
  
• Q4 - Compressed overview of multiple subests and many CD markers.
  
• Q5 - CD marker expression profile across cell subsets with second variable as dot size.
  
• Q6 - What is the ordered expression level of all CD markers accross a single cell subset.
  
• HCA - Hierarchical clustering analysis.
  
• PCA - Principal Component Analysis.
  

The Data tab allows for downloading the data.

Graphical Summary

Expression of CD1 to CD100 on 42 human leukocyte subsets

Figure big_picture. Overview of expession (as Fluorescence intensity [log10(Median ABC)]) of all CD markers (n = 115 including FMO controls) on 'end-point' cell subsets (n = 42). Selected populations are: TCD4naive - naïve CD4 T cells, TCD4EM - Effector Memory CD4 T cells, TCD4CM - Central Memory CD4 T cells, TCD4TEMRA - TEMRA CD4 T cells, TCD8naive - naïve CD8 T cells, TCD8EM - Effector Memory CD8 T cells, TCD8CM - Central Memory CD8 T cells , TCD8TEMRA - TEMRA CD8 T cells, Bdn - CD27- IgM- IgD- B cells, Bnaive - naïve B cells, BnatEff - Natural Effector B cells, BIgM - IgM only B cells, BswMem - Switched Memory B cells, B27high - plasma cells , Tgd - gamma delta T cells, TCD8RAdim - CD45RAdim CD27+ CD8 T cells , DN34p - CD34+ double negative, DN34m1ap - CD34+CD1a+ double negative, CD4ISP - CD4+ immature single positive, DP3m - Double positive CD3-, DP3p - Double positive CD3+, CD4SP1ap - CD4+ single positive CD1a+, CD4SP1am - CD4+ single positive, CD8SP1ap - CD8+ single positive CD1a+, CD8SP1am - CD8+ single positive, BnaiveTo - Naive B-cells Tonsil, CC - Centrocytes, CB - Centroblasts, UnswtMem - Unswitched Memory B-cells, SwtMem - Switched Memory B-cells, PC - Plasma cells, CD138negPC - CD138negPlasma cells, CD138posPC - CD138posPlasma cells, Eosin - Eosinophils, Neutro - Neutrophils, noncMono - non-classical monocytes, classMono - classical monocytes, interMono - intermediate monocytes, Baso - Basophils, pDC - plasmacytoid DC, NK - NK cells, mDC - myeloid DC. CD marker expression is colour coded (negativity = blue, positivity = red) and the size of dots coresponds to Frequency of PE positive cells as percentage, both variables are medians of all measured samples. Peripheral Blood - #FA7D7D, Thymus - #CF0404, Tonsil - #942626.

Variables

Variables used throughout the project are in the table below. Those mainly used will be MedQb: PE intensity Median (in QB units, that is recalculated to Quantibright beads) or PEpos: % of positive cells of the gated subset.

CD markers

Measured CD markers with links to HCMD web: CD10, CD100, CD11a, CD11b, CD11c, CD13, CD15, CD16, CD18, CD19, CD1a, CD1b, CD1d, CD2, CD20, CD21, CD22, CD23, CD24, CD25, CD26, CD27, CD28, CD29, CD3, CD30, CD31, CD32, CD33, CD34, CD35, CD36, CD37, CD38, CD39, CD4, CD40, CD41, CD42a, CD42b, CD43, CD44, CD45, CD45RA, CD45RB, CD45RO, CD46, CD47, CD48, CD49a, CD49b, CD49c, CD49d, CD49e, CD49f, CD5, CD50, CD51, CD52, CD53, CD54, CD55, CD56, CD57, CD58, CD59, CD6, CD61, CD62E, CD62L, CD62P, CD63, CD64, CD66a_c_d_e, CD66b, CD66c, CD68, CD69, CD7, CD70, CD71, CD72, CD73, CD74, CD75, CD79a, CD79b, CD8, CD80, CD81, CD82, CD83, CD84, CD85d, CD85j, CD85k, CD86, CD87, CD88, CD89, CD9, CD90, CD91, CD93, CD95, CD96, CD97, CD98, CD99,

Cell subsets

Populations measured in all panels. In the project we use internal (CODE) names and DISPLAY names to be shown to users.

Table: Cell subsets across panels.

Panel design, protocols and gating strategy

• panels 1 and 2 used same protocol for leukocyte isolation.
  

Gating of Panel 2 - Peripheral blood: B- and T-cell