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35 changes: 35 additions & 0 deletions analyses/cell-type-ewings/references/README.md
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Expand Up @@ -49,3 +49,38 @@ The other required input for `InferCNV` is an annotation file with two columns a
The first column contains the cell barcode and the second contains the annotation for that cell (either `reference` or `unknown`).
These files are specific for each library and depend on which cells are denoted as the reference.
Each library contains a folder with any annotations file used to run `InferCNV` for that library.

## Marker gene sets for identifying tumor cell states

The `tumor-cell-state-markers.tsv` file contains a list of marker genes that can be used to classify tumor cell states in Ewing samples.
The marker genes included here are specific to EWS-FLI1 high, EWS-FLI1 low, and proliferative tumor cells.
This list was obtained based on key genes mentioned in [Goodspeed _et al._](https://doi.org/10.1101/2024.01.18.576251), [Aynaud _et al._](https://doi.org/10.1016/j.celrep.2020.01.049), and [Wrenn _et al._](https://doi.org/10.1158/1078-0432.CCR-23-1111).

### Gene signatures

The `gene_signatures` folder contains any custom gene lists obtained from publications that can be used to identify tumor cell states:

1. `anyaud-ews-targets.tsv`: A list of the 78 marker genes defined by [Aynaud _et al._](https://doi.org/10.1016/j.celrep.2020.01.049) to be EWS-FLI1 targets.
Figure 4 shows that expression of these targets is correlated with EWS-FLI1 levels at a single-cell level.
We expect these targets to have increased expression in cells with high EWS-FLI1 activity.

2. `wrenn-nt5e-genes.tsv`: A list of 28 genes from [Wrenn _et al._](https://doi.org/10.1158/1078-0432.CCR-23-1111) that represent the overlap between the top 217 genes correlated with _NT5E_ expression in patient tumors and the top 200 markers of _NT5E+_ Ewing sarcoma cells _in vitro_.
These genes are shown in Figure 5D and 5E.
We expect these targets to have increased expression in cells with low EWS-FLI1 activity.

The following gene sets from MSigDB were also used to define EWS-FLI1 targets and may be helpful in defining cell states:

- [STAEGE_EWING_FAMILY_TUMOR](https://www.gsea-msigdb.org/gsea/msigdb/human/geneset/STAEGE_EWING_FAMILY_TUMOR.html)
- [MIYAGAWA_TARGETS_OF_EWSR1_ETS_FUSIONS_UP](https://www.gsea-msigdb.org/gsea/msigdb/human/geneset/MIYAGAWA_TARGETS_OF_EWSR1_ETS_FUSIONS_UP.html)
- [MIYAGAWA_TARGETS_OF_EWSR1_ETS_FUSIONS_DN](https://www.gsea-msigdb.org/gsea/msigdb/human/geneset/MIYAGAWA_TARGETS_OF_EWSR1_ETS_FUSIONS_DN.html)
- [ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION](https://www.gsea-msigdb.org/gsea/msigdb/human/geneset/ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION.html)
- [RIGGI_EWING_SARCOMA_PROGENITOR_UP](https://www.gsea-msigdb.org/gsea/msigdb/human/geneset/RIGGI_EWING_SARCOMA_PROGENITOR_UP.html)
- [RIGGI_EWING_SARCOMA_PROGENITOR_DN](https://www.gsea-msigdb.org/gsea/msigdb/human/geneset/RIGGI_EWING_SARCOMA_PROGENITOR_DN.html)
- [KINSEY_TARGETS_OF_EWSR1_FLI1_FUSION_UP](https://www.gsea-msigdb.org/gsea/msigdb/human/geneset/KINSEY_TARGETS_OF_EWSR1_FLII_FUSION_UP.html)
- [KINSEY_TARGETS_OF_EWSR1_FLI1_FUSION_DN](https://www.gsea-msigdb.org/gsea/msigdb/human/geneset/KINSEY_TARGETS_OF_EWSR1_FLII_FUSION_DN.html)

Wrenn _et al._ also used found that the following additional gene sets were highly expressed in CD73 high, EWS-FLI1 low tumor cells:

- [HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION](https://www.gsea-msigdb.org/gsea/msigdb/human/geneset/HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION.html)
GO:BP ECM Organization
- [GOBP_REGULATION_OF_EXTRACELLULAR_MATRIX_ORGANIZATION](https://www.gsea-msigdb.org/gsea/msigdb/human/geneset/GOBP_REGULATION_OF_EXTRACELLULAR_MATRIX_ORGANIZATION.html)
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gene_symbol ensembl_gene_id
CAV1 ENSG00000105974
APCDD1 ENSG00000154856
CCND1 ENSG00000110092
RNF141 ENSG00000110315
RBM11 ENSG00000185272
TSPAN13 ENSG00000106537
FZD1 ENSG00000157240
RCOR1 ENSG00000089902
ATP1A1 ENSG00000163399
TMEM47 ENSG00000147027
GLCE ENSG00000138604
LIPI ENSG00000188992
RP13-16H11.2 NA
CLDN1 ENSG00000163347
PAX9 ENSG00000198807
TNFAIP6 ENSG00000123610
UGT3A2 ENSG00000168671
GPR64 NA
SLAIN1 ENSG00000139737
RP11-1258F18.1 NA
MARCH1 NA
AASS ENSG00000008311
ABHD6 ENSG00000163686
AC022311.1 NA
ADAMTS4 ENSG00000158859
AK3 ENSG00000147853
AKAP7 ENSG00000118507
CDH8 ENSG00000150394
CES1 ENSG00000198848
COL21A1 ENSG00000124749
CTTNBP2 ENSG00000077063
ATP11C ENSG00000101974
BARX2 ENSG00000043039
CACHD1 ENSG00000158966
CADPS2 ENSG00000081803
CAPRIN1 ENSG00000135387
CAV2 ENSG00000105971
CDC37L1 ENSG00000106993
DCC ENSG00000187323
DCDC2 ENSG00000146038
DLGAP1 ENSG00000170579
DNAL4 ENSG00000100246
EBF3 ENSG00000108001
ENPP1 ENSG00000197594
FAM46A NA
FAM49A NA
FNBP1 ENSG00000187239
FOS ENSG00000170345
HES1 ENSG00000114315
HMCN1 ENSG00000143341
IGF1 ENSG00000017427
JARID2 ENSG00000008083
KCNE4 ENSG00000152049
KDSR ENSG00000119537
KIAA1456 NA
KIAA1462 NA
KIT ENSG00000157404
LRRC4C ENSG00000148948
MAN2A1 ENSG00000112893
MLLT3 ENSG00000171843
MYC ENSG00000136997
NMI ENSG00000123609
NPTXR ENSG00000221890
NTNG1 ENSG00000162631
PCDH7 ENSG00000169851
PCSK2 ENSG00000125851
PRKCB ENSG00000166501
RP11-521M14.1 NA
RP11-6C14.1 NA
RP13-16H11.1 NA
SH2B3 ENSG00000111252
SH3PXD2A ENSG00000107957
SLC26A2 ENSG00000155850
SLCO5A1 ENSG00000137571
SPATA6L ENSG00000106686
TRAV1-2 ENSG00000256553
TRPM4 ENSG00000130529
ZC3H13 ENSG00000123200
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gene_symbol ensembl_gene_id
NT5E ENSG00000135318
FBN1 ENSG00000166147
COL5A2 ENSG00000204262
COL6A2 ENSG00000142173
TNC ENSG00000041982
COL1A1 ENSG00000108821
COL1A2 ENSG00000164692
SPARC ENSG00000113140
BGN ENSG00000182492
S100A10 ENSG00000197747
FSTL1 ENSG00000163430
CAMK2D ENSG00000145349
CTSB ENSG00000164733
THY1 ENSG00000154096
GPNMB ENSG00000136235
NID1 ENSG00000116962
PPIC ENSG00000168938
PRSS23 ENSG00000150687
EMP1 ENSG00000134531
CD63 ENSG00000135404
S100A11 ENSG00000163191
LGMN ENSG00000100600
S100A13 ENSG00000189171
S100A4 ENSG00000196154
MYOF ENSG00000138119
PLAC9 ENSG00000189129
TGFB1I1 ENSG00000140682
CTSZ ENSG00000101160
19 changes: 19 additions & 0 deletions analyses/cell-type-ewings/references/tumor-cell-state-markers.tsv
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cell_state gene_symbol ensembl_gene_id source
proliferative MKI67 ENSG00000148773 https://doi.org/10.1101/2024.01.18.576251;https://doi.org/10.1158/1078-0432.CCR-23-1111
proliferative PCNA ENSG00000132646 https://doi.org/10.1101/2024.01.18.576251
EWS-low NT5E ENSG00000135318 https://doi.org/10.1158/1078-0432.CCR-23-1111
EWS-low IGFBP3 ENSG00000146674 https://doi.org/10.1016/j.celrep.2020.01.049
EWS-low IL8 ENSG00000169429 https://doi.org/10.1016/j.celrep.2020.01.049
EWS-low LOX ENSG00000113083 https://doi.org/10.1016/j.celrep.2020.01.049
EWS-low VIM ENSG00000026025 https://doi.org/10.1016/j.celrep.2020.01.049
EWS-low TNC ENSG00000041982 https://doi.org/10.1158/1078-0432.CCR-23-1111
EWS-low COL1A1 ENSG00000108821 https://doi.org/10.1158/1078-0432.CCR-23-1111
EWS-low BGN ENSG00000182492 https://doi.org/10.1158/1078-0432.CCR-23-1111
EWS-low S100A10 ENSG00000197747 https://doi.org/10.1158/1078-0432.CCR-23-1111
EWS-low SPARC ENSG00000113140 https://doi.org/10.1158/1078-0432.CCR-23-1111
EWS-low COL1A2 ENSG00000164692 https://doi.org/10.1158/1078-0432.CCR-23-1111
EWS-low CD44 ENSG00000026508 https://doi.org/10.1101/2024.01.18.576251
EWS-high PRKCB ENSG00000166501 https://doi.org/10.1016/j.celrep.2020.01.049
EWS-high LIPI ENSG00000188992 https://doi.org/10.1016/j.celrep.2020.01.049
EWS-high CCND1 ENSG00000110092 https://doi.org/10.1016/j.celrep.2020.01.049
EWS-high NR0B1 ENSG00000169297 https://doi.org/10.1016/j.celrep.2020.01.049

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