Establishment of the Myeloid TBX-Code Reveals Aberrant Expression of T-Box Gene TBX1 in Chronic Myeloid Leukemia.
Stefan NagelJosephine HaakeClaudia PommerenkeCorinna MeyerRoderick A F MacLeodPublished in: International journal of molecular sciences (2023)
T-box genes encode transcription factors, which control developmental processes and promote cancer if deregulated. Recently, we described the lymphoid TBX-code, which collates T-box gene activities in normal lymphopoiesis, enabling identification of members deregulated in lymphoid malignancies. Here, we have extended this analysis to cover myelopoiesis, compiling the myeloid TBX-code and, thus, highlighting which of these genes might be deregulated in myeloid tumor types. We analyzed public T-box gene expression datasets bioinformatically for normal and malignant cells. Candidate T-box-gene-expressing model cell lines were identified and examined by RQ-PCR, Western Blotting, genomic profiling, and siRNA-mediated knockdown combined with RNA-seq analysis and live-cell imaging. The established myeloid TBX-code comprised 10 T-box genes, including progenitor-cell-restricted TBX1. Accordingly, we detected aberrant expression of TBX1 in 10% of stem/progenitor-cell-derived chronic myeloid leukemia (CML) patients. The classic CML cell line K-562 expressed TBX1 at high levels and served as a model to identify TBX1 activators, including transcription factor GATA1 and genomic amplification of the TBX1 locus at 22q11; inhibitors, including BCR::ABL1 fusion and downregulated GNAI2, as well as BMP, FGF2, and WNT signaling; and the target genes CDKN1A, MIR17HG, NAV1, and TMEM38A. The establishment of the myeloid TBX-code permitted identification of aberrant TBX1 expression in subsets of CML patients and cell lines. TBX1 forms an integral part of an oncogenic regulatory network impacting proliferation, survival, and differentiation. Thus, the data spotlight novel diagnostic markers and potential therapeutic targets for this malignancy.
Keyphrases
- transcription factor
- chronic myeloid leukemia
- genome wide identification
- genome wide
- binding protein
- gene expression
- rna seq
- end stage renal disease
- bone marrow
- dendritic cells
- dna binding
- poor prognosis
- ejection fraction
- chronic kidney disease
- copy number
- newly diagnosed
- single cell
- dna methylation
- healthcare
- cell proliferation
- squamous cell carcinoma
- long non coding rna
- prognostic factors
- peritoneal dialysis
- risk assessment
- emergency department
- high resolution
- acute lymphoblastic leukemia
- tyrosine kinase
- induced apoptosis
- peripheral blood
- machine learning
- cell cycle arrest
- patient reported outcomes
- big data
- mass spectrometry
- immune response
- drug induced