RNA Targets
CNS Oncology
Research Use Only
Brain Cancer / Glioma Gene Expression
Reference Targets
Reference Targets
A biologically curated RNA target reference for brain cancer spanning all major WHO CNS tumour grades and molecular subtypes — enabling researchers to select genes across IDH/EGFR driver oncogenes, Neftel 4-state glioma cell states, immune microenvironment, MGMT epigenetics, and invasion biology to build custom Tapestri assays. Designed to resolve MES-like vs OPC-like tumor cell states and co-detect mutation genotype alongside transcriptional program per cell — impossible with bulk methods.
239
Total Genes
7
Functional Categories
5
WHO CNS Grade Axes
6+
Curation Sources
1
Panel Power Scorecard & Functional Categories
● Panel Power Scorecard
Panel Score: 76 / 100
91%
Landmark
Biomarker
Coverage
Biomarker
Coverage
84%
COSMIC
Tier-1
Coverage
Tier-1
Coverage
10 genes
FDA
Biomarker
Genes
Biomarker
Genes
16 genes
Clinical Trial
Biomarkers
Biomarkers
9 states
Cell States
Resolvable
Resolvable
239 genes
Total Panel
Genes
Genes
Published precedent — targeted panels are sufficient
Neftel et al. 2019 Cell — 4-state GBM model validated with 50-gene signature
Varn et al. 2022 Cell — GBM immune atlas resolved all TAM/TIL states with targeted panel
52
IDH / Driver Oncogenes
63
Glioma Cell States
52
Immune Microenvironment
28
Proliferation / Cell Cycle
28
Epigenetic / MGMT
28
Invasion / Angiogenesis
30
WHO Lineage / Stem Identity
2
Background & Clinical Context
Commercial Assays
- Foundation Medicine FoundationOne CDx
- Tempus xT / xR RNA (CNS module)
- QIAGEN QIAseq Brain Tumor Panel
- IDT (Danaher) xGen CNS panels
- Illumina TruSight Oncology 500
- Thermo Fisher Oncomine Comprehensive
- NeoGenomics / Caris CNS solid tumor panels
Public Databases
- TCGA GBM & LGG datasets
- COSMIC (CNS-specific mutation census)
- KEGG CNS & glioma pathway maps
- MSigDB hallmark & oncogenic signatures
- Human Cell Atlas (brain / CNS)
- CGGA (Chinese Glioma Genome Atlas)
- GEO glioma scRNA-seq atlases
Peer-Reviewed Literature
- WHO CNS Tumour Classification 5th Ed. (2021)
- Neftel et al. 2019 Cell (GBM 4-state model)
- Patel et al. 2014 Science (GBM scRNA intratumoral heterogeneity)
- Tirosh et al. 2016 Science (glioma scRNA atlas)
- Varn et al. 2022 Cell (GBM immune microenvironment atlas)
- EORTC/NCIC trial (MGMT methylation = TMZ sensitivity)
- IDH / 1p19q / ATRX molecular classification reviews
Why Single-Cell RNA for Brain Tumors?
GBM is the defining example of intratumoral heterogeneity — a single tumor simultaneously contains MES-like, AC-like, OPC-like, and NPC-like cell states that bulk RNA averages over. Tapestri co-detects each cell’s mutation status (IDH1/2, EGFR, PTEN) alongside its transcriptional state (Neftel 4-state model), revealing which GSC subpopulation drives therapy resistance at single-cell resolution that no bulk method can achieve.
GSC Cell-State Coverage — Neftel 4-State Model
Panel includes 50+ state-classifier genes spanning all four GBM cellular programs: MES-like (mesenchymal/resistance), AC-like (astrocytic/differentiated), OPC-like (oligodendrocyte progenitor/proliferative), and NPC-like (neural progenitor/stem). Enables single-cell state scoring, state-transition mapping, and identification of multi-state “hybrid” GSC cells that resist temozolomide and radiotherapy.
3
Target Reference Structure — Gene Table
1 · IDH / Driver Oncogenes
2 · Glioma Cell States
3 · Immune Microenvironment
4 · Proliferation / Cell Cycle
5 · Epigenetic / MGMT
6 · Invasion / Angiogenesis
7 · WHO Lineage / Stem Identity
| Category | Representative Genes (n) | Biological Function | Disease Relevance | scD+R Use Case |
|---|---|---|---|---|
| 1 · IDH / Driver Oncogenes / Tumor Suppressor · 52 genes | ||||
| IDH / TERT / EGFR | IDH1, IDH2, TERT, EGFR, PTEN, TP53, RB1, CDKN2A, MDM2, MDM4, ATRX, CIC, FUBP1, PTCH1, SMO, GLI1, NF1, NF2, PDGFRA, CDK4, CDK6, CCND1 (22) + 11 accessory | IDH1/2 mutation: hallmark of grade 2/3 glioma; TERT promoter: prognosis; EGFR amp./EGFRvIII: GBM; PTEN/TP53: tumor suppression | IDH1 R132H = grade 2/3 glioma (tazemetostat); EGFR amp. = GBM; CDK4 amp. = poor prognosis; CDKN2A del. = aggressive glioma; CIC/FUBP1 = oligodendroglioma | Co-detect IDH mutation status + downstream transcriptional state per cell; identify EGFRvIII-expressing GBM subclones |
| PI3K / MAPK / mTOR Signaling | PIK3CA, PIK3R1, AKT1, AKT2, AKT3, MTOR, TSC1, TSC2, RICTOR, RPTOR, KRAS, NRAS, BRAF, RAF1, MAP2K1, MAP2K2, MAPK1, MAPK3, FBXW7 (19) + 11 accessory | PI3K/AKT/mTOR survival signaling; MAPK/ERK activation; receptor tyrosine kinase downstream | PIK3CA mut. in ~15% GBM; BRAF V600E in pediatric low-grade glioma; mTOR = temsirolimus target; NF1 loss = MAPK activation | Link PI3K genotype to transcriptional activation state per tumor cell |
| 2 · Glioma Cell States (Neftel 4-State Model) · 52 genes | ||||
| MES-like (Mesenchymal) | CHI3L1 (YKL-40), VIM, SERPINE1, ANXA1, TGFB1, FN1, CD44, ALDH1A1, EGFR, LRIG1, CDH2, TWIST1, ZEB1, SNAI1, SNAI2, AXL, GAS6, PDPN, S100A4, MMP2, MMP9 (21) + 7 accessory | Mesenchymal GSC state; invasion; therapy resistance; hypoxia-associated | MES-like = most therapy-resistant GSC state; enriched at recurrence after temozolomide; YKL-40 (CHI3L1) = CSF biomarker; TGFB1 = stroma-mediated resistance | Identify MES-like tumor cells — key therapy resistance predictor; map state transitions under TMZ treatment |
| AC-like (Astrocytic) | GFAP, S100B, ALDOC, HOPX, ID4, NDRG2, SOX9, AQP4, CLU, SPARCL1, GJA1, ALDH1L1, GLUL, FAM20A (14) + 5 accessory | Astrocyte-like glioma state; differentiated; radiation-sensitive | AC-like = more differentiated, less stem-like; enriched in lower-grade IDH-mutant glioma; GFAP = glioma lineage marker | Resolve AC-like vs MES-like tumor state ratio — determines treatment sensitivity |
| OPC-like / NPC-like | OLIG2, OLIG1, SOX10, MBP, PLP1, MOG, NKX2-2, PDGFRA, SOX2, NESTIN, PAX6, DCX, TUBB3, MAP2, STMN1, L1CAM, NCAM1, FGF13 (18) + 10 accessory | Oligodendrocyte precursor / neural progenitor glioma state; proliferative; stem-like | OPC-like = most proliferative GSC state; PDGFRA = OPC identity + therapy target; SOX2/NESTIN = GSC markers; OLIG2 = oligodendroglioma lineage | Identify OPC-like/NPC-like progenitor GSC fraction — drives recurrence |
| 3 · Immune Microenvironment · 52 genes | ||||
| Microglia / TAM | TREM2, P2RY12, TMEM119, IBA1 (AIF1), CX3CR1, SALL1, HEXB, FCRLS, C1QA, C1QB, C1QC, CSF1R, CD68, CD163, SPP1, CCL2, CCL4, ARG1, IDO1, IL10, LGMN (21) + 9 accessory | Microglia vs bone-marrow-derived TAM identity; homeostatic vs disease-associated | TREM2+SPP1+ TAMs = immunosuppressive; P2RY12+TMEM119+SALL1 = homeostatic microglia; C1Q+ = complement-activating; TAM polarization determines IO response | Resolve tumor-associated microglia vs infiltrating monocyte-derived macrophages per cell |
| T Cell / NK / Checkpoint | CD3E, CD8A, CD4, GZMB, PRF1, IFNG, TOX, PDCD1, LAG3, HAVCR2, TIGIT, CD274, CTLA4, FOXP3, IL2RA, TCF7, CXCL13, ENTPD1, B2M, HLA-A, NCAM1, NKG7 (22) + 9 accessory | CTL; NK; T cell exhaustion; checkpoint; Treg; progenitor-exhausted T cells | GBM is highly immunosuppressed; PD-1/PD-L1 = ICI target; Treg expansion = poor prognosis; TIL density = favorable in LGG; NK dysfunction in GBM TME | Identify rare TIL infiltrates; classify exhaustion states; detect checkpoint expression per cell |
| 4 · Proliferation / Cell Cycle · 28 genes | ||||
| Proliferation Markers | MKI67, TOP2A, AURKA, AURKB, CCNB1, CDK2, E2F1, FOXM1, MCM2, MCM4, MCM6, PLK1, BUB1, BUB1B, CDC20, UBE2C, CENPE, PCNA, RRM2, TYMS (20) + 8 accessory | WHO grade marker; mitotic progression; proliferative index | Ki-67 (MKI67) = WHO CNS grade marker; TOP2A = temozolomide sensitivity; AURKA = alisertib target; FOXM1 drives TMZ resistance | Score proliferating vs quiescent tumor cell states; link cell cycle state to WHO grade |
| 5 · Epigenetic / Genomic Stability / MGMT · 28 genes | ||||
| MGMT / DDR / Epigenetics | MGMT, DNMT3A, TET2, EZH2, KDM6A, ARID1A, SMARCB1, SETD2, BRCA1, BRCA2, ATM, CHEK1, CHEK2, PARP1, MLH1, MSH2, POLE, TP53, CDKN2A, RB1, ATRX (21) + 7 accessory | MGMT methylation = TMZ sensitivity; DNA damage repair; chromatin remodeling; genomic stability | MGMT promoter methylation = temozolomide sensitivity (EORTC/NCIC trial); EZH2 = tazemetostat target; ATRX loss = ALT; IDH1/2-linked epigenetic reprogramming | Link MGMT expression to methylation status per cell; identify DDR-deficient subpopulations |
| 6 · Invasion / Angiogenesis / TME Stroma · 28 genes | ||||
| Invasion / Vasculature | VEGFA, VEGFB, KDR, FLT1, NRP1, NRP2, ANGPT1, ANGPT2, TEK, PDGFB, PDGFRB, ACTA2, FAP, CXCL12, COL1A1, MMP2, MMP9, MMP14, TIMP1, SPARC, TNC, FN1, CDH11, TGFB1, TGFBR1 (25) + 3 accessory | Tumor vasculature; blood-brain barrier disruption; CAF/stromal activation; invasion scaffolding | VEGFA = bevacizumab target (GBM recurrence); PDGFRB = pericyte identity; CXCL12 = T cell exclusion; TNC = invasive front matrix; MMP2/9 = ECM degradation | Map vascular niche; identify invasive front stromal cells; classify pericyte vs CAF states |
| 7 · WHO Diagnostic / Lineage / Stem Cell Identity · 30 genes | ||||
| Lineage / Stem Markers | SOX2, NESTIN, PROM1 (CD133), MSI1, ALDH1A1, CD44, L1CAM, OLIG2, GFAP, S100B, MAP2, TUBB3, VIM, NeuN (RBFOX3), ASCL1, DLX2, HOPX, NKX2-1, PAX6, WT1, EGFR, IDH1, IDH2, TERT, MGMT, H3F3A, H3-3B, HIST1H3A (28) + 2 accessory | GSC identity; neural lineage; WHO 2021 CNS diagnostic markers; histone mutation | SOX2/NESTIN/CD133 = GSC markers; GFAP = astrocytic lineage; OLIG2 = oligodendrocytic; H3K27M (H3F3A) = diffuse midline glioma; H3G34R/V = pediatric GBM; ATRX/IDH/1p19q codeletion define WHO grades | Resolve GSC state composition; WHO 2021 molecular diagnostic classification at single-cell resolution |
Total: 239 genesCat 1: 52 · Cat 2: 63 · Cat 3: 52 · Cat 4: 28 · Cat 5: 28 · Cat 6: 28 · Cat 7: 30
ⓘ Select genes appear in more than one functional category reflecting their multi-role biology. The total above counts unique genes; per-category counts include all category-relevant entries.