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myeloblastic cell line 32d cl3  (ATCC)


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    ATCC myeloblastic cell line 32d cl3
    (a) Efficient shRNA-mediated knockdown of HMGA1 (sh1, sh2 vs. sh-NC control) in HEL and UKE-1 cells. Left: Relative HMGA1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of HMGA1 protein; ACTB served as loading control. (b) Lentiviral-mediated overexpression of HMGA1 (OE vs. CMV-NC control) in HEL and UKE-1 cells. Left: Relative HMGA1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of HMGA1 protein; Tubulin served as loading control. (c) Lentiviral-mediated overexpression of Hmga1 (J/OE vs. J/NC control) in murine Ba/F3 ( Jak2 wild type, or Jak2 V617F ) and <t>32D-cl3</t> ( Jak2 wild type, or Jak2 V617F ) cells. Left: Relative Hmga1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of Hmga1 protein; Tubulin served as loading control. Statistical analyses for (a-c) by two-sample t-test or one-way ANOVA, as appropriate. (d) HMGA1 overexpression exacerbates disease phenotype in a HEL xenograft model. Hematological parameters (WBC, white blood cell count; HGB, hemoglobin; HCT, hematocrit; PLT, platelet count) in NSG mice engrafted with HEL cells stably expressing control vector (CMV-NC, n = 6) or HMGA1 (OE, n = 6) at 35 days post-transplantation. Data are presented as mean ± SD. Two-sample t -test. (e) HMGA1 knockdown alters chromatin accessibility and HMGA1 binding at key cell cycle regulatory gene loci. Integrative Genomics Viewer (IGV) snapshots displaying ATAC-seq and HMGA1 CUT&Tag signals at representative E2F target genes ( E2F1 , CCNE1 , CCNE2 , CDK2 , RB1 ), G2M checkpoint genes ( CCNB1 , CCNB2 , CDC2 , WEE1 , CDC25C , PLK1 , AURKA , AURKB ), and common cell cycle regulators ( CCNA2 , CDKN1A / p21 , CDKN1B / p27 ) in HEL cells following control (NC) versus HMGA1 knockdown (KD). (f) Enhanced E2F target and G2M checkpoint gene signatures in sAML patient cells. UMAP projections of single-cell CITE-seq data (GSE185381) from control and sAML patients, with cells colored by enrichment scores for E2F target and G2M checkpoint gene sets. Corresponding density plots illustrate score distributions.
    Myeloblastic Cell Line 32d Cl3, supplied by ATCC, used in various techniques. Bioz Stars score: 94/100, based on 77 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/myeloblastic+cell+line+32d+cl3/bio_rxiv__2025__06__01__657170-280-10-14?v=ATCC
    Average 94 stars, based on 77 article reviews
    myeloblastic cell line 32d cl3 - by Bioz Stars, 2026-08
    94/100 stars

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    1) Product Images from "Targeting HMGA1-driven leukemic transformation in myeloproliferative neoplasms with pacritinib"

    Article Title: Targeting HMGA1-driven leukemic transformation in myeloproliferative neoplasms with pacritinib

    Journal: bioRxiv

    doi: 10.1101/2025.06.01.657170

    (a) Efficient shRNA-mediated knockdown of HMGA1 (sh1, sh2 vs. sh-NC control) in HEL and UKE-1 cells. Left: Relative HMGA1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of HMGA1 protein; ACTB served as loading control. (b) Lentiviral-mediated overexpression of HMGA1 (OE vs. CMV-NC control) in HEL and UKE-1 cells. Left: Relative HMGA1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of HMGA1 protein; Tubulin served as loading control. (c) Lentiviral-mediated overexpression of Hmga1 (J/OE vs. J/NC control) in murine Ba/F3 ( Jak2 wild type, or Jak2 V617F ) and 32D-cl3 ( Jak2 wild type, or Jak2 V617F ) cells. Left: Relative Hmga1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of Hmga1 protein; Tubulin served as loading control. Statistical analyses for (a-c) by two-sample t-test or one-way ANOVA, as appropriate. (d) HMGA1 overexpression exacerbates disease phenotype in a HEL xenograft model. Hematological parameters (WBC, white blood cell count; HGB, hemoglobin; HCT, hematocrit; PLT, platelet count) in NSG mice engrafted with HEL cells stably expressing control vector (CMV-NC, n = 6) or HMGA1 (OE, n = 6) at 35 days post-transplantation. Data are presented as mean ± SD. Two-sample t -test. (e) HMGA1 knockdown alters chromatin accessibility and HMGA1 binding at key cell cycle regulatory gene loci. Integrative Genomics Viewer (IGV) snapshots displaying ATAC-seq and HMGA1 CUT&Tag signals at representative E2F target genes ( E2F1 , CCNE1 , CCNE2 , CDK2 , RB1 ), G2M checkpoint genes ( CCNB1 , CCNB2 , CDC2 , WEE1 , CDC25C , PLK1 , AURKA , AURKB ), and common cell cycle regulators ( CCNA2 , CDKN1A / p21 , CDKN1B / p27 ) in HEL cells following control (NC) versus HMGA1 knockdown (KD). (f) Enhanced E2F target and G2M checkpoint gene signatures in sAML patient cells. UMAP projections of single-cell CITE-seq data (GSE185381) from control and sAML patients, with cells colored by enrichment scores for E2F target and G2M checkpoint gene sets. Corresponding density plots illustrate score distributions.
    Figure Legend Snippet: (a) Efficient shRNA-mediated knockdown of HMGA1 (sh1, sh2 vs. sh-NC control) in HEL and UKE-1 cells. Left: Relative HMGA1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of HMGA1 protein; ACTB served as loading control. (b) Lentiviral-mediated overexpression of HMGA1 (OE vs. CMV-NC control) in HEL and UKE-1 cells. Left: Relative HMGA1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of HMGA1 protein; Tubulin served as loading control. (c) Lentiviral-mediated overexpression of Hmga1 (J/OE vs. J/NC control) in murine Ba/F3 ( Jak2 wild type, or Jak2 V617F ) and 32D-cl3 ( Jak2 wild type, or Jak2 V617F ) cells. Left: Relative Hmga1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of Hmga1 protein; Tubulin served as loading control. Statistical analyses for (a-c) by two-sample t-test or one-way ANOVA, as appropriate. (d) HMGA1 overexpression exacerbates disease phenotype in a HEL xenograft model. Hematological parameters (WBC, white blood cell count; HGB, hemoglobin; HCT, hematocrit; PLT, platelet count) in NSG mice engrafted with HEL cells stably expressing control vector (CMV-NC, n = 6) or HMGA1 (OE, n = 6) at 35 days post-transplantation. Data are presented as mean ± SD. Two-sample t -test. (e) HMGA1 knockdown alters chromatin accessibility and HMGA1 binding at key cell cycle regulatory gene loci. Integrative Genomics Viewer (IGV) snapshots displaying ATAC-seq and HMGA1 CUT&Tag signals at representative E2F target genes ( E2F1 , CCNE1 , CCNE2 , CDK2 , RB1 ), G2M checkpoint genes ( CCNB1 , CCNB2 , CDC2 , WEE1 , CDC25C , PLK1 , AURKA , AURKB ), and common cell cycle regulators ( CCNA2 , CDKN1A / p21 , CDKN1B / p27 ) in HEL cells following control (NC) versus HMGA1 knockdown (KD). (f) Enhanced E2F target and G2M checkpoint gene signatures in sAML patient cells. UMAP projections of single-cell CITE-seq data (GSE185381) from control and sAML patients, with cells colored by enrichment scores for E2F target and G2M checkpoint gene sets. Corresponding density plots illustrate score distributions.

    Techniques Used: shRNA, Knockdown, Control, Quantitative RT-PCR, Western Blot, Over Expression, Cell Counting, Stable Transfection, Expressing, Plasmid Preparation, Transplantation Assay, Binding Assay

    (a) Relative proliferation curves of human (HEL, UKE-1) and murine (Ba/F3, 32D-cl3 transduced with Jak2 wild-type or Jak2 V617F ) cell lines following HMGA1/Hmga1 overexpression (OE) or shRNA-meidated knockdown (sh1, sh2) compared to respective controls (CMV-NC or sh-NC)NC.) 32D-cl3 cells were cultured with IL-3. Data are mean ± SD. (n = 5 per group). Two-way ANOVA. (b) Flow cytometric analysis of CD11b expression on 32D-cl3 cells transduced with Jak2 wild-type (J WT ) or Jak2 V617F (J VF ), and co-transduced with control vector (NC) or HMGA1 overexpression (OE), following G-CSF (100 ng/mL) induced differentiation. (i) Representative histograms of CD11b-FITC fluorescence. (ii) Quantification of HMGA1-PE mean fluorescence intensity (MFI). (iii) Quantification of CD11b-FITC MFI (n = 5 per group). Data are mean ± SD. Two-sample t -test. (c) Quantification of human CD45 + CD117 + HEL cells in peripheral blood of NSG mice at day 35 post-transplant, comparing HMGA1-OE versus vector control (CMV-NC) groups (n=6 per group). Data are mean ± SD. Two-sample t -test. (d) Wright-Giemsa stained peripheral blood smears from NSG mice engrafted with HMGA1-OE or CMV-NC HEL cells at day 35. Quantification of HEL cells (% of total nucleated cells) is shown (n = 6 per group). Data are mean ± SD. Two-sample t -test. (e-f) Representative H&E and HMGA1 IHC staining (left panels of e and f, respectively) and quantification of HMGA1-positive cells (%) (right panels fo e and f, respectively) in (e) femur bone marrow and (f) spleen sections from NSG mice engrafted with HMGA1-OE or CMV-NC HEL cells. Scale bars: 50 µm. Data are mean ± SD. Two-sample t -test. (g) Representative images of spleens (left) and relative spleen weights (spleen weight/body weight %, right) from NSG mice at day 35 post-engraftment with HMGA1-OE or CMV-NC HEL cells (n = 6 per group). Data are mean ± SD. Two-sample t -test. (h) Kaplan-Meier survival curves for NSG mice injected with HMGA1-OE ro CMV-NC HEL cells (n = 6 per group). Median survival times are indicated. Log-rank (Mantel-Cox) test. (i) Heatmaps showing HMGA1 binding intensity (CUT&Tag, left) and chromatin accessibility (ATAC-seq, right) centered on transcription start site (TSS ± 3kb) for genes in HEL cells transduced with shNC or shHMGA1. Color scale indicates normalized read counts (Max/Min normalized). (j) Top de novo motifs identified by HOMER analysis within ATAC-seq peak regions that either lose accessibility (left) or gain accessibility (right) upon HMGA1 knockdown in HEL cells. P -value for motif enrichment are indicated. (k) Quantification of apoptosis by Annexin V-APC/7-AAD staining and flow cytometry in HEL and UKE-1 cells after transduction with shNC or HMGA1 shRNAs (sh1, sh2). Representative flow cytometry plots are shown. Data are mean ± SD. (n = 5 per group). One-way ANOVA with Tukey’s post-hoc test.
    Figure Legend Snippet: (a) Relative proliferation curves of human (HEL, UKE-1) and murine (Ba/F3, 32D-cl3 transduced with Jak2 wild-type or Jak2 V617F ) cell lines following HMGA1/Hmga1 overexpression (OE) or shRNA-meidated knockdown (sh1, sh2) compared to respective controls (CMV-NC or sh-NC)NC.) 32D-cl3 cells were cultured with IL-3. Data are mean ± SD. (n = 5 per group). Two-way ANOVA. (b) Flow cytometric analysis of CD11b expression on 32D-cl3 cells transduced with Jak2 wild-type (J WT ) or Jak2 V617F (J VF ), and co-transduced with control vector (NC) or HMGA1 overexpression (OE), following G-CSF (100 ng/mL) induced differentiation. (i) Representative histograms of CD11b-FITC fluorescence. (ii) Quantification of HMGA1-PE mean fluorescence intensity (MFI). (iii) Quantification of CD11b-FITC MFI (n = 5 per group). Data are mean ± SD. Two-sample t -test. (c) Quantification of human CD45 + CD117 + HEL cells in peripheral blood of NSG mice at day 35 post-transplant, comparing HMGA1-OE versus vector control (CMV-NC) groups (n=6 per group). Data are mean ± SD. Two-sample t -test. (d) Wright-Giemsa stained peripheral blood smears from NSG mice engrafted with HMGA1-OE or CMV-NC HEL cells at day 35. Quantification of HEL cells (% of total nucleated cells) is shown (n = 6 per group). Data are mean ± SD. Two-sample t -test. (e-f) Representative H&E and HMGA1 IHC staining (left panels of e and f, respectively) and quantification of HMGA1-positive cells (%) (right panels fo e and f, respectively) in (e) femur bone marrow and (f) spleen sections from NSG mice engrafted with HMGA1-OE or CMV-NC HEL cells. Scale bars: 50 µm. Data are mean ± SD. Two-sample t -test. (g) Representative images of spleens (left) and relative spleen weights (spleen weight/body weight %, right) from NSG mice at day 35 post-engraftment with HMGA1-OE or CMV-NC HEL cells (n = 6 per group). Data are mean ± SD. Two-sample t -test. (h) Kaplan-Meier survival curves for NSG mice injected with HMGA1-OE ro CMV-NC HEL cells (n = 6 per group). Median survival times are indicated. Log-rank (Mantel-Cox) test. (i) Heatmaps showing HMGA1 binding intensity (CUT&Tag, left) and chromatin accessibility (ATAC-seq, right) centered on transcription start site (TSS ± 3kb) for genes in HEL cells transduced with shNC or shHMGA1. Color scale indicates normalized read counts (Max/Min normalized). (j) Top de novo motifs identified by HOMER analysis within ATAC-seq peak regions that either lose accessibility (left) or gain accessibility (right) upon HMGA1 knockdown in HEL cells. P -value for motif enrichment are indicated. (k) Quantification of apoptosis by Annexin V-APC/7-AAD staining and flow cytometry in HEL and UKE-1 cells after transduction with shNC or HMGA1 shRNAs (sh1, sh2). Representative flow cytometry plots are shown. Data are mean ± SD. (n = 5 per group). One-way ANOVA with Tukey’s post-hoc test.

    Techniques Used: Transduction, Over Expression, shRNA, Knockdown, Cell Culture, Expressing, Control, Plasmid Preparation, Fluorescence, Staining, Immunohistochemistry, Injection, Binding Assay, Flow Cytometry

    (a-f) HMGA1 expression levels modulate sensitivity to diverse therapeutic agents. Dose-response curves showing viability of HEL, UKE-1, Ba/F3 ( Jak2 wild type, or Jak2 V617F ), and 32D-cl3 ( Jak2 wild type, or Jak2 V617F ) cells with engineered HMGA1/Hmga1 expression (OE vs. NC; sh1/sh2 vs. sh-NC) following 72-hour treatment with (a) IFNα, (b) 5-Azacytidine, (c) Decitabine, (d) Cytarabine, (e) Venetoclax, and (f) Hydroxyurea. Calculated IC50 values are shown. Data represent mean ± SD from n = 3 independent experiments. Two-way ANOVA. (g) Ruxolitinib treatment, particularly long-term exposure, alters key signaling and cell cycle protein expression. Western blot analysis of indicated JAK-STAT, E2F pathway, G2M checkpoint, and cell cycle regulatory proteins in HEL and UKE-1 cells treated with vehicle, short-term ruxolitinib (4 hours), or in ruxolitinib-persistent (Rux-P) lines. GAPDH served as loading control. (h-j) HMGA1/Hmga1 expression status influences sensitivity to JAK inhibitors. Dose-response curves assessing viability of (h) UKE-1 cells, (i) Ba/F3 cells (J VF /NC: Jak2 V617F /control vector; J VF /OE: Jak2 V617F /Hmga1 OE; J WT /NC: Jak2 wild-type/control vector; J WT /OE: Jak2 wild-type /Hmga1 OE), and (j) 32D-cl3 cells (similarly engineered) with engineered HMGA1/Hmga1 expression, following treatment with ruxolitinib, fedratinib, pacritinib, or momelotinib. Calculated IC50 values are shown. Data represent mean ± SD from n = 3 independent experiments. Two-way ANOVA. (k) Pacritinib mitigates weight loss in mice bearing HMGA1-overexpressing HEL xenografts. Percent body weight change in NSG mice engrafted with HEL-Luc cells (CMV-NC or HMGA1-OE) and treated with vehicle or pacritinib (100 mg/kg, BID, 14 days). Data are mean ± SD (n = 6 per group). One-way ANOVA. (l) Pacritinib treatment improves hematological parameters in the HMGA1-overexpressing HEL xenograft model. Peripheral blood counts (WBC, HGB, HCT, PLT) in xenografted mice at day 35 endpoint. Data are mean ± SD (n = 6 per group). One-way ANOVA.
    Figure Legend Snippet: (a-f) HMGA1 expression levels modulate sensitivity to diverse therapeutic agents. Dose-response curves showing viability of HEL, UKE-1, Ba/F3 ( Jak2 wild type, or Jak2 V617F ), and 32D-cl3 ( Jak2 wild type, or Jak2 V617F ) cells with engineered HMGA1/Hmga1 expression (OE vs. NC; sh1/sh2 vs. sh-NC) following 72-hour treatment with (a) IFNα, (b) 5-Azacytidine, (c) Decitabine, (d) Cytarabine, (e) Venetoclax, and (f) Hydroxyurea. Calculated IC50 values are shown. Data represent mean ± SD from n = 3 independent experiments. Two-way ANOVA. (g) Ruxolitinib treatment, particularly long-term exposure, alters key signaling and cell cycle protein expression. Western blot analysis of indicated JAK-STAT, E2F pathway, G2M checkpoint, and cell cycle regulatory proteins in HEL and UKE-1 cells treated with vehicle, short-term ruxolitinib (4 hours), or in ruxolitinib-persistent (Rux-P) lines. GAPDH served as loading control. (h-j) HMGA1/Hmga1 expression status influences sensitivity to JAK inhibitors. Dose-response curves assessing viability of (h) UKE-1 cells, (i) Ba/F3 cells (J VF /NC: Jak2 V617F /control vector; J VF /OE: Jak2 V617F /Hmga1 OE; J WT /NC: Jak2 wild-type/control vector; J WT /OE: Jak2 wild-type /Hmga1 OE), and (j) 32D-cl3 cells (similarly engineered) with engineered HMGA1/Hmga1 expression, following treatment with ruxolitinib, fedratinib, pacritinib, or momelotinib. Calculated IC50 values are shown. Data represent mean ± SD from n = 3 independent experiments. Two-way ANOVA. (k) Pacritinib mitigates weight loss in mice bearing HMGA1-overexpressing HEL xenografts. Percent body weight change in NSG mice engrafted with HEL-Luc cells (CMV-NC or HMGA1-OE) and treated with vehicle or pacritinib (100 mg/kg, BID, 14 days). Data are mean ± SD (n = 6 per group). One-way ANOVA. (l) Pacritinib treatment improves hematological parameters in the HMGA1-overexpressing HEL xenograft model. Peripheral blood counts (WBC, HGB, HCT, PLT) in xenografted mice at day 35 endpoint. Data are mean ± SD (n = 6 per group). One-way ANOVA.

    Techniques Used: Expressing, Western Blot, Control, Plasmid Preparation



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    ATCC myeloblastic cell line 32d cl3
    (a) Efficient shRNA-mediated knockdown of HMGA1 (sh1, sh2 vs. sh-NC control) in HEL and UKE-1 cells. Left: Relative HMGA1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of HMGA1 protein; ACTB served as loading control. (b) Lentiviral-mediated overexpression of HMGA1 (OE vs. CMV-NC control) in HEL and UKE-1 cells. Left: Relative HMGA1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of HMGA1 protein; Tubulin served as loading control. (c) Lentiviral-mediated overexpression of Hmga1 (J/OE vs. J/NC control) in murine Ba/F3 ( Jak2 wild type, or Jak2 V617F ) and <t>32D-cl3</t> ( Jak2 wild type, or Jak2 V617F ) cells. Left: Relative Hmga1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of Hmga1 protein; Tubulin served as loading control. Statistical analyses for (a-c) by two-sample t-test or one-way ANOVA, as appropriate. (d) HMGA1 overexpression exacerbates disease phenotype in a HEL xenograft model. Hematological parameters (WBC, white blood cell count; HGB, hemoglobin; HCT, hematocrit; PLT, platelet count) in NSG mice engrafted with HEL cells stably expressing control vector (CMV-NC, n = 6) or HMGA1 (OE, n = 6) at 35 days post-transplantation. Data are presented as mean ± SD. Two-sample t -test. (e) HMGA1 knockdown alters chromatin accessibility and HMGA1 binding at key cell cycle regulatory gene loci. Integrative Genomics Viewer (IGV) snapshots displaying ATAC-seq and HMGA1 CUT&Tag signals at representative E2F target genes ( E2F1 , CCNE1 , CCNE2 , CDK2 , RB1 ), G2M checkpoint genes ( CCNB1 , CCNB2 , CDC2 , WEE1 , CDC25C , PLK1 , AURKA , AURKB ), and common cell cycle regulators ( CCNA2 , CDKN1A / p21 , CDKN1B / p27 ) in HEL cells following control (NC) versus HMGA1 knockdown (KD). (f) Enhanced E2F target and G2M checkpoint gene signatures in sAML patient cells. UMAP projections of single-cell CITE-seq data (GSE185381) from control and sAML patients, with cells colored by enrichment scores for E2F target and G2M checkpoint gene sets. Corresponding density plots illustrate score distributions.
    Myeloblastic Cell Line 32d Cl3, supplied by ATCC, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/myeloblastic+cell+line+32d+cl3/bio_rxiv__2025__06__01__657170-280-10-14?v=ATCC
    Average 94 stars, based on 1 article reviews
    myeloblastic cell line 32d cl3 - by Bioz Stars, 2026-08
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    (a) Efficient shRNA-mediated knockdown of HMGA1 (sh1, sh2 vs. sh-NC control) in HEL and UKE-1 cells. Left: Relative HMGA1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of HMGA1 protein; ACTB served as loading control. (b) Lentiviral-mediated overexpression of HMGA1 (OE vs. CMV-NC control) in HEL and UKE-1 cells. Left: Relative HMGA1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of HMGA1 protein; Tubulin served as loading control. (c) Lentiviral-mediated overexpression of Hmga1 (J/OE vs. J/NC control) in murine Ba/F3 ( Jak2 wild type, or Jak2 V617F ) and 32D-cl3 ( Jak2 wild type, or Jak2 V617F ) cells. Left: Relative Hmga1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of Hmga1 protein; Tubulin served as loading control. Statistical analyses for (a-c) by two-sample t-test or one-way ANOVA, as appropriate. (d) HMGA1 overexpression exacerbates disease phenotype in a HEL xenograft model. Hematological parameters (WBC, white blood cell count; HGB, hemoglobin; HCT, hematocrit; PLT, platelet count) in NSG mice engrafted with HEL cells stably expressing control vector (CMV-NC, n = 6) or HMGA1 (OE, n = 6) at 35 days post-transplantation. Data are presented as mean ± SD. Two-sample t -test. (e) HMGA1 knockdown alters chromatin accessibility and HMGA1 binding at key cell cycle regulatory gene loci. Integrative Genomics Viewer (IGV) snapshots displaying ATAC-seq and HMGA1 CUT&Tag signals at representative E2F target genes ( E2F1 , CCNE1 , CCNE2 , CDK2 , RB1 ), G2M checkpoint genes ( CCNB1 , CCNB2 , CDC2 , WEE1 , CDC25C , PLK1 , AURKA , AURKB ), and common cell cycle regulators ( CCNA2 , CDKN1A / p21 , CDKN1B / p27 ) in HEL cells following control (NC) versus HMGA1 knockdown (KD). (f) Enhanced E2F target and G2M checkpoint gene signatures in sAML patient cells. UMAP projections of single-cell CITE-seq data (GSE185381) from control and sAML patients, with cells colored by enrichment scores for E2F target and G2M checkpoint gene sets. Corresponding density plots illustrate score distributions.

    Journal: bioRxiv

    Article Title: Targeting HMGA1-driven leukemic transformation in myeloproliferative neoplasms with pacritinib

    doi: 10.1101/2025.06.01.657170

    Figure Lengend Snippet: (a) Efficient shRNA-mediated knockdown of HMGA1 (sh1, sh2 vs. sh-NC control) in HEL and UKE-1 cells. Left: Relative HMGA1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of HMGA1 protein; ACTB served as loading control. (b) Lentiviral-mediated overexpression of HMGA1 (OE vs. CMV-NC control) in HEL and UKE-1 cells. Left: Relative HMGA1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of HMGA1 protein; Tubulin served as loading control. (c) Lentiviral-mediated overexpression of Hmga1 (J/OE vs. J/NC control) in murine Ba/F3 ( Jak2 wild type, or Jak2 V617F ) and 32D-cl3 ( Jak2 wild type, or Jak2 V617F ) cells. Left: Relative Hmga1 mRNA levels by qRT-PCR (mean ± SD, n = 3). Right: Western blot analysis of Hmga1 protein; Tubulin served as loading control. Statistical analyses for (a-c) by two-sample t-test or one-way ANOVA, as appropriate. (d) HMGA1 overexpression exacerbates disease phenotype in a HEL xenograft model. Hematological parameters (WBC, white blood cell count; HGB, hemoglobin; HCT, hematocrit; PLT, platelet count) in NSG mice engrafted with HEL cells stably expressing control vector (CMV-NC, n = 6) or HMGA1 (OE, n = 6) at 35 days post-transplantation. Data are presented as mean ± SD. Two-sample t -test. (e) HMGA1 knockdown alters chromatin accessibility and HMGA1 binding at key cell cycle regulatory gene loci. Integrative Genomics Viewer (IGV) snapshots displaying ATAC-seq and HMGA1 CUT&Tag signals at representative E2F target genes ( E2F1 , CCNE1 , CCNE2 , CDK2 , RB1 ), G2M checkpoint genes ( CCNB1 , CCNB2 , CDC2 , WEE1 , CDC25C , PLK1 , AURKA , AURKB ), and common cell cycle regulators ( CCNA2 , CDKN1A / p21 , CDKN1B / p27 ) in HEL cells following control (NC) versus HMGA1 knockdown (KD). (f) Enhanced E2F target and G2M checkpoint gene signatures in sAML patient cells. UMAP projections of single-cell CITE-seq data (GSE185381) from control and sAML patients, with cells colored by enrichment scores for E2F target and G2M checkpoint gene sets. Corresponding density plots illustrate score distributions.

    Article Snippet: Murine IL-3-dependent pro-B cell line Ba/F3 (DSMZ ACC 300) and myeloblastic cell line 32D-cl3 (ATCC CRL-11346) were also used.

    Techniques: shRNA, Knockdown, Control, Quantitative RT-PCR, Western Blot, Over Expression, Cell Counting, Stable Transfection, Expressing, Plasmid Preparation, Transplantation Assay, Binding Assay

    (a) Relative proliferation curves of human (HEL, UKE-1) and murine (Ba/F3, 32D-cl3 transduced with Jak2 wild-type or Jak2 V617F ) cell lines following HMGA1/Hmga1 overexpression (OE) or shRNA-meidated knockdown (sh1, sh2) compared to respective controls (CMV-NC or sh-NC)NC.) 32D-cl3 cells were cultured with IL-3. Data are mean ± SD. (n = 5 per group). Two-way ANOVA. (b) Flow cytometric analysis of CD11b expression on 32D-cl3 cells transduced with Jak2 wild-type (J WT ) or Jak2 V617F (J VF ), and co-transduced with control vector (NC) or HMGA1 overexpression (OE), following G-CSF (100 ng/mL) induced differentiation. (i) Representative histograms of CD11b-FITC fluorescence. (ii) Quantification of HMGA1-PE mean fluorescence intensity (MFI). (iii) Quantification of CD11b-FITC MFI (n = 5 per group). Data are mean ± SD. Two-sample t -test. (c) Quantification of human CD45 + CD117 + HEL cells in peripheral blood of NSG mice at day 35 post-transplant, comparing HMGA1-OE versus vector control (CMV-NC) groups (n=6 per group). Data are mean ± SD. Two-sample t -test. (d) Wright-Giemsa stained peripheral blood smears from NSG mice engrafted with HMGA1-OE or CMV-NC HEL cells at day 35. Quantification of HEL cells (% of total nucleated cells) is shown (n = 6 per group). Data are mean ± SD. Two-sample t -test. (e-f) Representative H&E and HMGA1 IHC staining (left panels of e and f, respectively) and quantification of HMGA1-positive cells (%) (right panels fo e and f, respectively) in (e) femur bone marrow and (f) spleen sections from NSG mice engrafted with HMGA1-OE or CMV-NC HEL cells. Scale bars: 50 µm. Data are mean ± SD. Two-sample t -test. (g) Representative images of spleens (left) and relative spleen weights (spleen weight/body weight %, right) from NSG mice at day 35 post-engraftment with HMGA1-OE or CMV-NC HEL cells (n = 6 per group). Data are mean ± SD. Two-sample t -test. (h) Kaplan-Meier survival curves for NSG mice injected with HMGA1-OE ro CMV-NC HEL cells (n = 6 per group). Median survival times are indicated. Log-rank (Mantel-Cox) test. (i) Heatmaps showing HMGA1 binding intensity (CUT&Tag, left) and chromatin accessibility (ATAC-seq, right) centered on transcription start site (TSS ± 3kb) for genes in HEL cells transduced with shNC or shHMGA1. Color scale indicates normalized read counts (Max/Min normalized). (j) Top de novo motifs identified by HOMER analysis within ATAC-seq peak regions that either lose accessibility (left) or gain accessibility (right) upon HMGA1 knockdown in HEL cells. P -value for motif enrichment are indicated. (k) Quantification of apoptosis by Annexin V-APC/7-AAD staining and flow cytometry in HEL and UKE-1 cells after transduction with shNC or HMGA1 shRNAs (sh1, sh2). Representative flow cytometry plots are shown. Data are mean ± SD. (n = 5 per group). One-way ANOVA with Tukey’s post-hoc test.

    Journal: bioRxiv

    Article Title: Targeting HMGA1-driven leukemic transformation in myeloproliferative neoplasms with pacritinib

    doi: 10.1101/2025.06.01.657170

    Figure Lengend Snippet: (a) Relative proliferation curves of human (HEL, UKE-1) and murine (Ba/F3, 32D-cl3 transduced with Jak2 wild-type or Jak2 V617F ) cell lines following HMGA1/Hmga1 overexpression (OE) or shRNA-meidated knockdown (sh1, sh2) compared to respective controls (CMV-NC or sh-NC)NC.) 32D-cl3 cells were cultured with IL-3. Data are mean ± SD. (n = 5 per group). Two-way ANOVA. (b) Flow cytometric analysis of CD11b expression on 32D-cl3 cells transduced with Jak2 wild-type (J WT ) or Jak2 V617F (J VF ), and co-transduced with control vector (NC) or HMGA1 overexpression (OE), following G-CSF (100 ng/mL) induced differentiation. (i) Representative histograms of CD11b-FITC fluorescence. (ii) Quantification of HMGA1-PE mean fluorescence intensity (MFI). (iii) Quantification of CD11b-FITC MFI (n = 5 per group). Data are mean ± SD. Two-sample t -test. (c) Quantification of human CD45 + CD117 + HEL cells in peripheral blood of NSG mice at day 35 post-transplant, comparing HMGA1-OE versus vector control (CMV-NC) groups (n=6 per group). Data are mean ± SD. Two-sample t -test. (d) Wright-Giemsa stained peripheral blood smears from NSG mice engrafted with HMGA1-OE or CMV-NC HEL cells at day 35. Quantification of HEL cells (% of total nucleated cells) is shown (n = 6 per group). Data are mean ± SD. Two-sample t -test. (e-f) Representative H&E and HMGA1 IHC staining (left panels of e and f, respectively) and quantification of HMGA1-positive cells (%) (right panels fo e and f, respectively) in (e) femur bone marrow and (f) spleen sections from NSG mice engrafted with HMGA1-OE or CMV-NC HEL cells. Scale bars: 50 µm. Data are mean ± SD. Two-sample t -test. (g) Representative images of spleens (left) and relative spleen weights (spleen weight/body weight %, right) from NSG mice at day 35 post-engraftment with HMGA1-OE or CMV-NC HEL cells (n = 6 per group). Data are mean ± SD. Two-sample t -test. (h) Kaplan-Meier survival curves for NSG mice injected with HMGA1-OE ro CMV-NC HEL cells (n = 6 per group). Median survival times are indicated. Log-rank (Mantel-Cox) test. (i) Heatmaps showing HMGA1 binding intensity (CUT&Tag, left) and chromatin accessibility (ATAC-seq, right) centered on transcription start site (TSS ± 3kb) for genes in HEL cells transduced with shNC or shHMGA1. Color scale indicates normalized read counts (Max/Min normalized). (j) Top de novo motifs identified by HOMER analysis within ATAC-seq peak regions that either lose accessibility (left) or gain accessibility (right) upon HMGA1 knockdown in HEL cells. P -value for motif enrichment are indicated. (k) Quantification of apoptosis by Annexin V-APC/7-AAD staining and flow cytometry in HEL and UKE-1 cells after transduction with shNC or HMGA1 shRNAs (sh1, sh2). Representative flow cytometry plots are shown. Data are mean ± SD. (n = 5 per group). One-way ANOVA with Tukey’s post-hoc test.

    Article Snippet: Murine IL-3-dependent pro-B cell line Ba/F3 (DSMZ ACC 300) and myeloblastic cell line 32D-cl3 (ATCC CRL-11346) were also used.

    Techniques: Transduction, Over Expression, shRNA, Knockdown, Cell Culture, Expressing, Control, Plasmid Preparation, Fluorescence, Staining, Immunohistochemistry, Injection, Binding Assay, Flow Cytometry

    (a-f) HMGA1 expression levels modulate sensitivity to diverse therapeutic agents. Dose-response curves showing viability of HEL, UKE-1, Ba/F3 ( Jak2 wild type, or Jak2 V617F ), and 32D-cl3 ( Jak2 wild type, or Jak2 V617F ) cells with engineered HMGA1/Hmga1 expression (OE vs. NC; sh1/sh2 vs. sh-NC) following 72-hour treatment with (a) IFNα, (b) 5-Azacytidine, (c) Decitabine, (d) Cytarabine, (e) Venetoclax, and (f) Hydroxyurea. Calculated IC50 values are shown. Data represent mean ± SD from n = 3 independent experiments. Two-way ANOVA. (g) Ruxolitinib treatment, particularly long-term exposure, alters key signaling and cell cycle protein expression. Western blot analysis of indicated JAK-STAT, E2F pathway, G2M checkpoint, and cell cycle regulatory proteins in HEL and UKE-1 cells treated with vehicle, short-term ruxolitinib (4 hours), or in ruxolitinib-persistent (Rux-P) lines. GAPDH served as loading control. (h-j) HMGA1/Hmga1 expression status influences sensitivity to JAK inhibitors. Dose-response curves assessing viability of (h) UKE-1 cells, (i) Ba/F3 cells (J VF /NC: Jak2 V617F /control vector; J VF /OE: Jak2 V617F /Hmga1 OE; J WT /NC: Jak2 wild-type/control vector; J WT /OE: Jak2 wild-type /Hmga1 OE), and (j) 32D-cl3 cells (similarly engineered) with engineered HMGA1/Hmga1 expression, following treatment with ruxolitinib, fedratinib, pacritinib, or momelotinib. Calculated IC50 values are shown. Data represent mean ± SD from n = 3 independent experiments. Two-way ANOVA. (k) Pacritinib mitigates weight loss in mice bearing HMGA1-overexpressing HEL xenografts. Percent body weight change in NSG mice engrafted with HEL-Luc cells (CMV-NC or HMGA1-OE) and treated with vehicle or pacritinib (100 mg/kg, BID, 14 days). Data are mean ± SD (n = 6 per group). One-way ANOVA. (l) Pacritinib treatment improves hematological parameters in the HMGA1-overexpressing HEL xenograft model. Peripheral blood counts (WBC, HGB, HCT, PLT) in xenografted mice at day 35 endpoint. Data are mean ± SD (n = 6 per group). One-way ANOVA.

    Journal: bioRxiv

    Article Title: Targeting HMGA1-driven leukemic transformation in myeloproliferative neoplasms with pacritinib

    doi: 10.1101/2025.06.01.657170

    Figure Lengend Snippet: (a-f) HMGA1 expression levels modulate sensitivity to diverse therapeutic agents. Dose-response curves showing viability of HEL, UKE-1, Ba/F3 ( Jak2 wild type, or Jak2 V617F ), and 32D-cl3 ( Jak2 wild type, or Jak2 V617F ) cells with engineered HMGA1/Hmga1 expression (OE vs. NC; sh1/sh2 vs. sh-NC) following 72-hour treatment with (a) IFNα, (b) 5-Azacytidine, (c) Decitabine, (d) Cytarabine, (e) Venetoclax, and (f) Hydroxyurea. Calculated IC50 values are shown. Data represent mean ± SD from n = 3 independent experiments. Two-way ANOVA. (g) Ruxolitinib treatment, particularly long-term exposure, alters key signaling and cell cycle protein expression. Western blot analysis of indicated JAK-STAT, E2F pathway, G2M checkpoint, and cell cycle regulatory proteins in HEL and UKE-1 cells treated with vehicle, short-term ruxolitinib (4 hours), or in ruxolitinib-persistent (Rux-P) lines. GAPDH served as loading control. (h-j) HMGA1/Hmga1 expression status influences sensitivity to JAK inhibitors. Dose-response curves assessing viability of (h) UKE-1 cells, (i) Ba/F3 cells (J VF /NC: Jak2 V617F /control vector; J VF /OE: Jak2 V617F /Hmga1 OE; J WT /NC: Jak2 wild-type/control vector; J WT /OE: Jak2 wild-type /Hmga1 OE), and (j) 32D-cl3 cells (similarly engineered) with engineered HMGA1/Hmga1 expression, following treatment with ruxolitinib, fedratinib, pacritinib, or momelotinib. Calculated IC50 values are shown. Data represent mean ± SD from n = 3 independent experiments. Two-way ANOVA. (k) Pacritinib mitigates weight loss in mice bearing HMGA1-overexpressing HEL xenografts. Percent body weight change in NSG mice engrafted with HEL-Luc cells (CMV-NC or HMGA1-OE) and treated with vehicle or pacritinib (100 mg/kg, BID, 14 days). Data are mean ± SD (n = 6 per group). One-way ANOVA. (l) Pacritinib treatment improves hematological parameters in the HMGA1-overexpressing HEL xenograft model. Peripheral blood counts (WBC, HGB, HCT, PLT) in xenografted mice at day 35 endpoint. Data are mean ± SD (n = 6 per group). One-way ANOVA.

    Article Snippet: Murine IL-3-dependent pro-B cell line Ba/F3 (DSMZ ACC 300) and myeloblastic cell line 32D-cl3 (ATCC CRL-11346) were also used.

    Techniques: Expressing, Western Blot, Control, Plasmid Preparation