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MHH-CALL-4

Cat.No.: CSC-C0396

Species: Human

Source: B cell precursor leukemia

Morphology: single, round cells growing in suspension, partly in clusters

Culture Properties: suspension

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Cat.No.
CSC-C0396
Description
Established from the peripheral blood of a 10-year-old Caucasian boy with acute lymphoblastic leukemia (pre B-ALL) at diagnosis in 1993
Species
Human
Source
B cell precursor leukemia
Recommended Medium
Culture Properties
suspension
Morphology
single, round cells growing in suspension, partly in clusters
Karyotype
Human hypodiploid karyotype with 4% polyploidy - 45(42-46)<2n>X, -Y, r(12)(qter;p13-pter)
Quality Control
Mycoplasma: negative in DAPI, microbiological culture, RNA hybridization, PCR assays
Immunology: CD3 -, CD10 +, CD13 +, CD19 +, CD20 +, CD34 -, CD37 +, CD38 +, CD80 -, CD138 -, HLA-DR +, sm/cyIgG -, sm/cyIgM -, sm/cykappa -, sm/cylambda -
Viruses: ELISA:
Storage and Shipping
Frozen with 70% medium, 20% FBS, 10% DMSO at about 5 x 10^6 cells/ampoule; ship in dry ice; store in liquid nitrogen
Citation Guidance
If you use this products in your scientific publication, it should be cited in the publication as: Creative Bioarray cat no. If your paper has been published, please click here to submit the PubMed ID of your paper to get a coupon.

MHH-CALL-4 is an acute lymphoblastic leukemia cell line established from the peripheral blood of a 10-year-old boy with pre-B acute lymphoblastic leukemia (pre B-ALL) in 1993. It is a B-cell precursor cell line, and it has many genomic features similar to Ph-like ALL, especially in the aspect of CRLF2 rearrangements and JAK2 mutations. MHH-CALL-4 cells display a small round morphology and predominantly grow in suspension but sometimes form small clusters. MHH-CALL-4 cells have CRLF2 overexpression and the JAK2 I682F mutation, which are responsible for the constitutive activation of the JAK/STAT and PI3K/mTOR signaling pathways in MHH-CALL-4 cells. Studies have reported that JAK2 inhibitors (BBT594) and mTOR inhibitors (AZD2014) potently inhibited JAK/STAT and PI3K/mTOR pathways in MHH-CALL-4 cells with a synergistic effect. TSLP, the ligand of CRLF2, also robustly activated JAK/STAT and PI3K/mTOR pathways to promote cell proliferation and survival in MHH-CALL-4 cells.

Characterization of the MHH-CALL-4 cell line enables several uses in research:

  • Leukemia Research: MHH-CALL-4 is used as a model in Leukemia Research to study Ph-like ALL and signaling pathways, especially those associated with CRLF2 rearrangements and JAK2 mutations.
  • Drug Screening: The cell line can be used to screen and assess the efficacy of JAK2 and mTOR inhibitors, which have shown strong inhibitory effects.
  • Antibody-Mediated Cytotoxicity (ADCC): MHH-CALL-4 cells are used to measure the antibody-mediated cytotoxicity (ADCC) of CD20 antibodies (e.g., rituximab and obinutuzumab) and studies suggest that cell surface sialic acid modification may affect ADCC.

Synergistic Drug Interactions of the Givinostat (ITF2357) in CRLF2-Rearranged Pediatric BCP-ALL Identified by High-Throughput Drug Screening

Pediatric B-cell precursor acute lymphoblastic leukemia (BCP-ALL) with CRLF2 rearrangements is a high-risk subtype, especially in children with Down Syndrome, who often suffer from treatment-related toxicity. Givinostat (ITF2357), a histone deacetylase inhibitor, has shown efficacy against CRLF2-rearranged BCP-ALL. Oikonomou et al. identify synergistic drug combinations with givinostat using high-throughput drug screening to improve treatment outcomes for these patients.

They previously identified givinostat as a promising anti-leukemic agent for CRLF2r BCP-ALL. To evaluate its synergistic potential with other compounds, they used a high-throughput drug screening library of 174 FDA/EMA-approved or preclinical drugs. Using the MHH-CALL-4 cell line, they constructed a per-drug DSS score to assess compound sensitivity in givinostat and DMSO conditions (Fig. 1A). Of the 174 compounds, 54 showed no activity, leaving 120 for further investigation (Fig. 1B). Unsupervised hierarchical clustering distinguished givinostat- and DMSO-treated cells (Fig. 1C), revealing 3 major clusters. One cluster contained drugs whose sensitivity was more modulated by givinostat. A t-test identified 19 compounds with significantly higher sensitivity in the presence of givinostat (Fig. 1D). These compounds belonged to 7 categories: BCL2, FLT3, HSP90, MAPK, PI3K/mTOR, topoisomerase, and p53-MDM2 inhibitors. Setting a DSS threshold of 25, we selected one drug from each category with the highest DSS score in givinostat condition and the largest difference between givinostat and DMSO conditions. The selected drugs were venetoclax, luminespib, trametinib, sapanisertib, etoposide, and idasanutlin (Fig. 1E).

High-throughput drug screening of givinostat combinations on the MHH-CALL-4 cell line.Fig. 1. Givinostat combination high-throughput drug screening on MHH-CALL-4 (Oikonomou A, Watrin T, et al., 2024).

HTS Identifies Synergistic Drug Combinations with Ruxolitinib in Ph-Like ALL

Ph-like ALL is a high-risk leukemia subtype with frequent relapses and poor outcomes, often involving JAK-STAT pathway mutations. CRLF2-rearranged Ph-like ALL show resistance to single-agent JAK inhibitors. Bӧhm et al. identified effective combination treatments and elucidate the mechanisms of synergy for CRLF2-rearranged Ph-like ALL using high-throughput drug screening and molecular analysis.

To identify potential drug combinations with ruxolitinib for Ph-like ALL, they conducted high-throughput screening (HTS) of ruxolitinib with 5057 bioactive compounds against MHH-CALL-4 and MUTZ-5 cell lines, both overexpressing CRLF2 and harboring JAK2, IKZF1, and PAX5 mutations. Despite ruxolitinib inhibiting downstream signaling at 1 µM, both cell lines showed resistance to its cytotoxic effects (IC50 >15 µM for MUTZ-5 and >30 µM for MHH-CALL-4). Thus, they used 1 µM ruxolitinib for HTS. In the primary screen, 460 compounds with <25% survival relative to control were selected for secondary screening. Compounds demonstrating >2-fold enhanced cell kill with ruxolitinib and high single-agent potency were tested in the tertiary screen to estimate IC50 values (Fig. 2A–D). Overall, ~9% of compounds achieved >75% cell death, including kinase inhibitors, glucocorticoids, and anti-neoplastic drugs. Standard-of-care drugs like cyclophosphamide and methotrexate showed limited efficacy, while nucleotide analogs like cytarabine had high single-agent efficacy but only moderate synergy with ruxolitinib.

High-throughput screening of the Ph-like ALL cell line MHH-CALL-4 to identify synergistic combinations with ruxolitinib.Fig. 2. HTS of the Ph-like ALL cell line MHH-CALL-4 to identify synergistic drug combinations with ruxolitinib (Bӧhm J W, Sia K C S, et al., 2021).

What is flow cytometry leukemia?

Leukemia is diagnosed based on clinical information and laboratory testing results. Flow Cytometry (FCM) is a technology capable of providing rapid multi-parameter analysis of single cells or particles.

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