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Annotation of marker epitopes for various cell types
# This annotation of cell type markers is tailored for surface proteins
# normally profilid with multiplexed imaging (IMC, CODEX).
# It is a simple reference for myself and may be more detailed in some parts than others.
# This reference is hierarchical.
# This annotation is generally pan-tissue.
# Author: Andre Rendeiro
# License: CC BY-SA 2.0
cell_types:
structural:
basal:
markers:
- KRT5
- KRT14
- p63
- TP63
- PDPN
epithelium:
markers:
- Cytokeratins
- Keratin818
- K818
# Lung:
club:
markers:
- KRT15
- CD74
- CC16
- SCGB1A1
hillock:
markers:
- KRT4
- KRT13
ciliated:
markers:
- FOXJ1
- TUBB1
- p73
- TP73
tuft:
markers:
-
goblet:
markers:
- MUC5A
- MUC5AC
- MUC5B
- SPDEF
aleveolar:
markers:
- CD44
- Keratin818
- K818
typeI:
markers:
- SFTPB
- PDPN
- Keratin818
- K818
- AGER
- AQP5
- PDPN
typeII:
markers:
- SFTPC
- SFTPA
- Keratin818
- K818
endothelial:
markers:
- EpCAM
- CD31
- AQ1
- Periostin
lymphatic:
markers:
- PDPN
mesenchymal:
markers:
- Vimentin
- VIM
fibroblast:
markers:
- AlphaSMA
- aSMA
- CollagenTypeI
- ColTypeI
cancer-associated fibroblast:
markers:
-
myofibroblast:
markers:
- ACTA2
smooth_muscle:
markers:
- aSMA
- AlphaSMA
skeletal_muscle:
markers:
- CD56
chondrocytes:
markers:
- SOX9
immune:
lymphoid:
b_cell:
markers:
- CD45
- CD20
T_cell:
markers:
- CD45
- CD3
CD4:
markers:
- CD4
Treg:
markers:
- FoxP3
- FOXP3
CD8:
markers:
- CD8a
- CD8A
NKcells:
markers:
- CD45
- CD56
- CD57
- CD11b
- ITGAM
myeloid:
markers:
- CD45
- CD16
- CD68
- CD11b
- CD11c
monocytes:
markers:
- CD14
- IL1beta
- IL1B
macrophages:
markers:
- Vimentin
- VIM
- CD45
- CD14
- CD16
- CD4
- CD11b
- CD11c
- ITGAM
- CD163
sources:
- https://www.cusabio.com/c-20938.html
M1:
phenotype: pro-inflamatory, autoimmune, obesity and diabetes, atherosclerosis
environment: virus, bacteria
differentiating_factors:
- LPS, TLR4, NFKB
- TLR4, NFKB
- IFNG, STAT1
- IL6, STAT1
markers:
- CD80
- CD86
- CD64
- CD32
- CD11c
M2:
phenotype: anti-inflamatory, wound healing, fibrosis, allergy and asthma
environment: cancer
differentiating_factors:
- IL6, STAT3
- IL10, STAT3
- IL4, STAT6
- IL4, PI3K
- TGFBeta, SMAD3
- IL13
markers:
- CD206
- CD68
- CD163
- ARG1
neutrophils:
markers:
- CD11b
- CD11c
- CD15
- MPO
- S100A9
- S100A8
- Periostin
dendritic_cells:
markers:
- CD45
- CD14
- CD16
- FCGR3A
- Cd11c
- ITGAX
cDC1:
sources:
- https://doi.org/10.1016/j.smim.2021.101481
functions:
- regulates host defense to viruses and other intracellular pathogens and promotes CD8+ T-cell-mediated anti-tumor immunity.
- promote tumor rejection given their specialization in recognition of dead and dying cells, cross-presentation and ability to drive CD8 + T-cell response.
markers:
- IRF8
- BATF3
- ID2
- CLEC9A (DNGR-1)
- XCR1
- BDCA-3 (CD141)
cDC2:
sources:
- https://doi.org/10.1016/j.smim.2021.101481
functions: orchestrate host barrier protection as well as immunity to extracellular pathogens and/or allergens largely by promoting CD4+ helper T-cell responses through presentation of soluble antigens via MHC class II (MHC-II).
markers:
- IRF4 (high)
- RELB
- ZEB2
- KLF4
- NOTCH
pDC:
sources:
- https://doi.org/10.1016/j.smim.2021.101481
functions:
- specialized for anti-viral responses and are an important source of IFN-I (and IFN-III) upon viral infection.
- pDC are considered to have a similar role in potentiating anti-tumoral immune responses via IFN-I production, however, pDC may also drive tolerance and immune suppression in the context of malignancy.
- While pDC are able to cross-present antigen to prime CD8 + T-cells, they exhibit inferior cross-presenting capacity relative to their conventional DC counterparts.
markers:
- CD11d
- BDCA-2 (CLEC4C or CD303)
- CD123
- CD304
- TCF4
- IRF8
- RUNX1
tDC:
sources: 10.1016/j.celrep.2019.11.042
comment: also known as AXL+ DC or ASDC
markers:
- AXL
MoDC:
sources:
- https://doi.org/10.1016/j.smim.2021.101481
functions:
- highly context-dependent DC subset that differentiate in response to inflammatory stimuli and are recruited to sites of inflammation, including the TME, via the CCR2-CCL2 chemokine signaling axis.
- MoDC are heterogeneous and share substantial overlap with certain cDC2 subsets and monocytes, which is reflected in the diverse range of immune actions initiated by MoDC.
markers:
- CD14
- CD88
DC3:
sources:
- https://doi.org/10.1016/j.smim.2021.101481
functions:
- tumor-infiltrating DCs.
- share overlapping phenotypic features with conventional DC, including both cDC1 and cDC2, yet harbor a distinct transcriptional profile.
- DC3 program is signified by the co-existence maturation/activation markers and an immunoregulatory profile that includes markers of DC migration, DC maturation, immune-regulation.
markers:
-
basophiles:
markers:
-
eosinophil:
markers:
- IL5RA
- CCR3
- PRG2
- PTGDR2
- SIGLEC8
- GATA2
mast_cell:
markers:
- cKIT
- CD117
- MastCellTryptase
- TPSAB1
myeloid-derived suppressor cells:
markers:
- CD11b
- ITGAM
- GranzymeB
- GZMB
cell_states:
proliferative:
markers:
- Ki67
- PCNA
- MCM2
- pHH3
cell death:
markers:
- CleavedCaspase3
- CC3
- CleavedPARP
- Survivin
- CitH3
- SC5b9
- iNOS
hypoxia:
markers:
- Carbonic anhydrase IX
cytotoxic:
markers:
- GranzymeB
activation:
markers:
- CD27
- CD39
- CD84
# For DCs:
migration:
markers:
- CCR7
- FSCN1
maturation:
markers:
- LAMP3
- CD80
- CD83
- CD40
immune-regulation:
markers:
- PD-L1
- PD-L2
- IDO1
- CD200
inflammation:
markers:
- pSTAT3
- pSTAT3Tyr705
- pNFkbp65
- IRF2BP2
- IL6
- IL1beta
- iNOS
arrest:
markers:
- p21
- p27
senescence:
markers:
- uPAR
- p21
- p16
- CDKN1A
- CDKN2A
infected:
markers:
- SARSSpikeS1
# When updating, make sure syntax is correct:
# $ python -c "import yaml; yaml.safe_load(open('markers_to_cell_type_labels.yaml'))"
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