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Image Search Results
Journal: JCI Insight
Article Title: Loss of TRPV4 reduces pancreatic cancer growth and metastasis
doi: 10.1172/jci.insight.196280
Figure Lengend Snippet: ( A ) Graphical illustration of experimental design. KPC cells (100,000 cells) were injected into the pancreas, followed by injection of KPCY cells (500,000 cells) into the spleen 10 days later. ( B ) Representative images of immunostaining of mouse liver for Ki67 and GFP (marking KCPY cells) at low (upper panels) and high magnification (lower panels). Scale bars: 100 μm (top) and 50 μm (bottom). ( C and D ) Quantitative analysis of Ki67 positively stained cells and liver lesions of WT and TRPV4-KO liver. The analysis was performed on large sections of pancreatic tissues using tiling and stitching of images obtained with a Zeiss 880 Airyscan confocal microscope. Lesions were defined as an aggregate of at least 10 KPCY cells. ( E and F ) Representative images of immunostaining of liver sections with CD68 and quantitative analysis of CD68 + cells in liver sections from WT or TRPV4-KO mice. Scale bars: 100 μm. Statistical analyses were performed using Student’s t test. Animal number, n = 4–5. Results were expressed as mean ± SEM. * P ≤ 0.05; ** P ≤ 0.01.
Article Snippet:
Techniques: Injection, Immunostaining, Staining, Microscopy
Journal: eLife
Article Title: Quantification of microenvironmental metabolites in murine cancers reveals determinants of tumor nutrient availability
doi: 10.7554/eLife.44235
Figure Lengend Snippet: ( A ) Diagram of experimental models used to test the effect of tumor tissue of origin on TIF metabolite levels. Principal component analysis ( B ) and hierarchical clustering ( C ) of PDAC subcutaneous allograft TIF and LUAD subcutaneous allograft TIF samples based on LC/MS measurements of 104 metabolite concentrations. ( D ) Volcano plot depicting the log 2 fold change in metabolite concentration between PDAC and LUAD TIF for metabolites measured using stable isotope dilution. A fold change of 1.5 and raw p-value of 0.01 assuming unequal variance were used to select significantly altered metabolites indicated in pink. For all panels, n = 5 for PDAC subcutaneous allograft TIF samples and n = 10 for LUAD subcutaneous allograft TIF samples. 10.7554/eLife.44235.034 Figure 5—source data 1. Concentrations of 104 metabolites determined by both external standard calibration and stable isotope dilution in all subcutaneous PDAC and LUAD TIF samples in .
Article Snippet: For subcutaneous xenograft studies, 12 week old C57BL/6J animals purchased from Jackson Laboratories (IMSR Cat# JAX:000664, RRID:
Techniques: Liquid Chromatography with Mass Spectroscopy, Concentration Assay, Isotope Dilution
Journal: eLife
Article Title: Quantification of microenvironmental metabolites in murine cancers reveals determinants of tumor nutrient availability
doi: 10.7554/eLife.44235
Figure Lengend Snippet: ( A ) Diagram of experimental models used to test the effect of tumor tissue of origin on TIF metabolite levels. Principal component analysis ( B ) and hierarchical clustering ( C ) of PDAC subcutaneous allograft TIF and LUAD subcutaneous allograft TIF samples based on LC/MS measurements of 67 metabolites quantified using isotope-labeled internal standards. For all panels, n = 5 for PDAC subcutaneous allograft TIF samples and n = 10 for LUAD subcutaneous allograft TIF samples. 10.7554/eLife.44235.035 Figure 5—figure supplement 1—source data 1. Concentrations of 66 metabolites determined by only stable isotope dilution in all subcutaneous PDAC and LUAD TIF samples in .
Article Snippet: For subcutaneous xenograft studies, 12 week old C57BL/6J animals purchased from Jackson Laboratories (IMSR Cat# JAX:000664, RRID:
Techniques: Liquid Chromatography with Mass Spectroscopy, Labeling, Isotope Dilution
Journal: Cancer Science
Article Title: Downregulation of 15‐hydroxyprostaglandin dehydrogenase by interleukin‐1β from activated macrophages leads to poor prognosis in pancreatic cancer
doi: 10.1111/cas.13467
Figure Lengend Snippet: Low 15‐hydroxyprostaglandin dehydrogenase (15‐ PGDH ) expression is implicated in poor pancreatic ductal adenocarcinoma ( PDAC ) prognosis. A, Workflow diagram of patients who underwent pancreatic resection and contributed samples for immunohistochemical ( IHC ) analysis. B, Representative IHC staining of 15‐ PGDH expression in 107 PDAC tissues. Scale bar = 100 μm. C,D, Relationship between 15‐ PGDH expression and relapse‐free survival (C) or overall survival (D) using the Kaplan‐Meier method
Article Snippet: The
Techniques: Expressing, Immunohistochemical staining, Immunohistochemistry
Journal: Cancer Science
Article Title: Downregulation of 15‐hydroxyprostaglandin dehydrogenase by interleukin‐1β from activated macrophages leads to poor prognosis in pancreatic cancer
doi: 10.1111/cas.13467
Figure Lengend Snippet: 15‐Hydroxyprostaglandin dehydrogenase (15‐ PGDH ) downregulation by interleukin‐1β ( IL ‐1β) enhances pancreatic ductal adenocarcinoma cell growth. A,B, Expression of HPGD (the gene coding 15‐ PGDH protein, upper panel) or 15‐ PGDH (lower panel) in PK ‐8 cells (A) or S2‐013 cells (B) after treatment with si RNA targeting 15‐ PGDH or with control si RNA , evaluated by quantitative RT ‐ PCR (upper panel) or Western blot analysis (lower panel). Data are presented as the treated/control cell ratio. C,D, PK ‐8 cells (C) or S2‐013 cells (D) transfected with si RNA s targeting 15‐ PGDH or with control si RNA were incubated for up to 96 hours and assayed for cell number; data are presented as the treated/control (time = 0) cell ratio. E,F, Expression of 15‐ PGDH in PK ‐8 cells or S2‐013 cells after IL ‐1β (E) or tumor necrosis factor‐α ( TNF ‐α) (F) treatment for 24 and 48 hours and distilled water treatment for 48 hours as a control was evaluated by Western blotting. G, Column graph showing relative 15‐ PGDH levels in PK ‐8 cells or S2‐013 cells after IL ‐1β and TNF ‐α treatment for 24 and 48 hours, and distilled water treatment for 48 hours as a control, were evaluated using ImageJ software. H, Expression of HPGD and IL 1B in six PDAC patients determined by quantitative RT ‐ PCR . Data were normalized to the ACTB mRNA level and are shown as the mean ± SD of three independent experiments. **P < .01
Article Snippet: The
Techniques: Expressing, Control, Quantitative RT-PCR, Western Blot, Transfection, Incubation, Software
Journal: Cancer Science
Article Title: Downregulation of 15‐hydroxyprostaglandin dehydrogenase by interleukin‐1β from activated macrophages leads to poor prognosis in pancreatic cancer
doi: 10.1111/cas.13467
Figure Lengend Snippet: Tumor‐associated macrophages are inversely correlated with pancreatic ductal adenocarcinoma ( PDAC ) cells harboring high 15‐hydroxyprostaglandin dehydrogenase (15‐ PGDH ) expression. A,B, Representative immunohistochemical ( IHC ) staining of 15‐ PGDH (upper panel) and CD 163 (lower panel) expression in high 15‐ PGDH (A) and low 15‐ PGDH (B) serial PDAC specimens. Scale bar = 200 μm. C, Graph showing Pearson's correlation between the expression of 15‐ PGDH and the number of CD 163‐positive cells in 107 PDAC patients. D, Schematic representation of the findings of this study. IL ‐1βR, interleukin‐1β receptor
Article Snippet: The
Techniques: Expressing, Immunohistochemical staining, Immunohistochemistry
Figure S1 . " width="100%" height="100%">
Journal: Cell Reports Medicine
Article Title: CTC-derived pancreatic cancer models serve as research tools and are suitable for precision medicine approaches
doi: 10.1016/j.xcrm.2024.101692
Figure Lengend Snippet: Highly efficient retrieval of CTCs from patients with pancreatic cancer (A) Comparison of CTC capture rates using EpCAM antibody-coated beads and beads with additional antibodies in PDX-derived primary PDAC cultures (SiC024). EMT induction in PDAC cultures using macrophage-conditioned media (MCM) served two purposes: mimicking clinical heterogeneity and simulating metastatic conditions. During metastasis, cancer cells often downregulate EpCAM expression, rendering EpCAM-only isolation procedures less effective. To model CTC analysis, 100 PDAC cells were spiked into 5 mL of blood obtained from healthy individuals. Beads coated with varying antibody combinations (EpCAM alone, EpCAM + CD47, EpCAM + FAP, and a triple combination of EpCAM, CD47, and FAP antibodies) were employed to isolate CTCs. The graph illustrates the count of isolated spiked-in PDAC cells as a model for CTCs ( n = 5). Boxplots show median values as horizontal lines within the boxes, with whiskers representing the 95% confidence intervals (CI). (B) Comparison of CTC retrieval efficiency of 100 cultured PDAC cells (SiC024) spiked into 5 mL of healthy blood. Three methods were used: triple antibody-coated beads, VAR2-coated beads, and immunodensity cell isolation by RosetteSep. The graph shows the number of retrieved CTCs ( n = 5). (C) Analysis of CTC retrieval from four patients with PDAC. The same volume of patient-derived blood (5 mL) was used for each isolation. Beads coated with EpCAM or triple antibody combination or VAR2 were compared for effectiveness of CTC retrieval. For one patient, enough blood was available to perform the VAR2 beads-based isolation in duplicate. The chart shows the count of isolated CTCs and the fold increase in VAR2 bead-based isolation compared to EpCAM bead-based isolation. (D) Comparison of triple-antibody cocktail-coated beads and VAR2-coated beads for isolating CTCs from patients with PDAC. The left graph illustrates CTC retrieval numbers, the middle graph presents the count of contaminating white blood cells (WBCs), and the right panel displays representative immunostainings ( n = 20). (E) VAR2-based retrieval of CD45 – CK + CTCs for individuals with various conditions, including healthy controls, pancreatitis, intraductal papillary mucinous neoplasms (IPMNs), different stages of PDAC (resectable local, locally advanced, and advanced), neuroendocrine tumors (NETs), and bile duct tumors (cholangiocarcinoma). Boxplots display median values as horizontal lines, with whiskers indicating the 95% CI. (F) Kaplan Meier analysis for overall survival in patients with PDAC patients ( n = 71), dichotomized by the “median CTC numbers” (65 CTCs). Statistical analysis by log rank test. (G) Assessment of the sensitivity of the VAR2-based retrieval method versus serum CA 19-9 levels for detecting local PDAC (left) and non-metastatic PDAC (right), respectively. The upper limit of normal (ULN) of 37 U/mL for CA 19-9 is highlighted in green. In one patient, no CTCs were detected (highlighted in orange). (H) Cox proportional hazards survival regression (Cox regression) analysis for overall 1-year survival. Hazard ratios and 95% confidence interval (CI) are shown. Definition of variables: CTC numbers ≥65/5 mL, disease stage I–IV, gender (M/F), age >65 years, CA 19.9 > 37 U/mL, C-reactive protein >3 mg/L. ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗∗ p < 0.0001. Please also see
Article Snippet:
Techniques: Comparison, Derivative Assay, Expressing, Isolation, Cell Culture, Cell Isolation
Figure S3 . " width="100%" height="100%">
Journal: Cell Reports Medicine
Article Title: CTC-derived pancreatic cancer models serve as research tools and are suitable for precision medicine approaches
doi: 10.1016/j.xcrm.2024.101692
Figure Lengend Snippet: CTC-derived cultures are more aggressive compared to PDX-derived cultures (A) Invasion assay with fetal bovine serum as chemoattractant for comparing CTC-derived PDAC models versus PDX-derived cultures. Photographs on the left show invaded cells through a Matrigel-coated Boyden chamber, stained with crystal violet. Quantification is presented on the right. Boxplots show the median as a line within the box and use whiskers to represent the 95% CI. (B) In vivo metastasis assay involved injecting 100,000 luciferase-positive (Luc + ) CTC- versus PDX-derived cells into the spleen, followed by splenectomy on day 7 and subsequent tracking of Luc + liver metastasis until day 28. Quantification displayed in the upper-left panel. CTC numbers per mouse were assessed using the VAR2-coated beads method (upper-right panel). Ex vivo liver imaging, including quantification and representative ex vivo liver samples, is shown in the lower panel. (C) Immunohistochemical analysis for cytokeratin 19 (brown) to identify metastases in the liver and lungs of mice, injected with CTC-derived and PDX-derived PDAC cells. (D) Response of six representative CTC-derived models to gemcitabine (GEM), nab-paclitaxel (Abraxane; ABX), or their combination, as assessed by in vitro 3D sphere formation. (E) Corresponding patient’s clinical response for their individually allocated treatment regimen. ∗ p < 0.05 and ∗∗∗ p < 0.001. Please also see
Article Snippet:
Techniques: Derivative Assay, Invasion Assay, Staining, In Vivo, Luciferase, Ex Vivo, Imaging, Immunohistochemical staining, Injection, In Vitro
Figure S4 . " width="100%" height="100%">
Journal: Cell Reports Medicine
Article Title: CTC-derived pancreatic cancer models serve as research tools and are suitable for precision medicine approaches
doi: 10.1016/j.xcrm.2024.101692
Figure Lengend Snippet: CTC-derived cultures are functionally heterogeneous (A) Gating for FACSorting of SiC002 CTC-derived PDAC cells based on their mitochondrial membrane potential (ΔΨm) using tetramethylrhodamine methyl ester (TMRM; left panel). The right panel shows the oxygen consumption rate (OCR) indicative of mitochondrial respiration in ΔΨm high cells versus low cells after sorting. (B) Mitochondrial membrane potential (ΔΨm) stained with TMRM in CSC-enriched sphere versus adherent cultures derived from a diverse set of CTC- and PDX-derived models, respectively ( n = 5). (C) ΔΨm stained with TMRM in CD133 + CSCs versus CD133 – differentiated cancer cells; n = 3. (D) qPCR analysis for mRNA levels of stemness-associated genes in ΔΨm high versus low cells sorted from SiC002 and SiC007 CTC-derived models; n = 4 (unpaired two-tailed t test). (E) Representative gating strategy of PDAC cells with low, medium, and high ΔΨm levels for FACSorting. (F) Representative images (left) and quantification (right) of sphere formation capacity on day 7 following ΔΨm sorting in two different CTC-derived PDAC models; n = 6 (unpaired two-tailed t test). (G) In vivo tumorigenicity of graded cell numbers for two different CTC-derived PDAC models after sorting for ΔΨm levels. Images of explanted tumors (left) and extreme limiting dilution analysis (right). (H) ΔΨm stained with TMRM for CXCR4 + versus CXCR4 – cells. Representative flow cytometry plots of CXCR4 gating and TMRM staining (left), quantification of mean fluorescence intensity (MFI) of TMRM staining (right); n = 3. (I) Immunofluorescence for CXCR4 (white) and TMRM (red) staining. DAPI serves as a nuclear stain. Representative images are on the left, with quantification on the right for two different CTC-derived PDAC models; n = 41 to 208 cells (horizontal lines indicate the mean values). ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Please also see
Article Snippet:
Techniques: Derivative Assay, Membrane, Staining, Two Tailed Test, In Vivo, Flow Cytometry, Fluorescence, Immunofluorescence
Figure S5 . " width="100%" height="100%">
Journal: Cell Reports Medicine
Article Title: CTC-derived pancreatic cancer models serve as research tools and are suitable for precision medicine approaches
doi: 10.1016/j.xcrm.2024.101692
Figure Lengend Snippet: Pancreatic CTCs comprise a subset of CXCR4 + CSCs (A) VAR2-based retrieval of CXCR4 + CD45 – CK + CTCs from individuals with various conditions, including healthy controls, pancreatitis, IPMNs, different stages of PDAC (resectable local, locally advanced, and advanced), NETs, and bile duct tumors (cholangiocarcinoma). The content of CD45 – CK + CXCR4 + CTCs among total CTCs at baseline is shown (left). Boxplots indicate median values with horizontal lines, and whiskers represent the 95% CI. Representative image of a retrieved CD45 – CK + CXCR4 + CTC (right). (B) Kaplan-Meier analysis for overall survival in patients with PDAC dichotomized for the “median of CXCR4 + CTC content” (8.9%). Statistical analysis by log rank test. (C) Cox proportional hazards survival regression (Cox regression) analysis for overall 1-year survival, including the variable “CXCR4 + CTC content.” Hazard ratios and 95% CI are shown on a logarithmic scale. (D) Single-cell droplet digital PCR (ddPCR) analysis. Upper panel: schematic illustration of the workflow. Lower panel: ddPCR results of freshly retrieved CXCR4 + versus CXCR4 – CTCs for the indicated genes plotted ( n = 9 each). (E) Flow cytometry illustrating the content of CXCR4 + cells for PDX- versus CTC-derived cultures. (F) Invasive capacity of CXCR4 + versus CXCR4 – cells for CTC- and PDX-derived cultures, respectively. Cells sorted for CXCR4 were placed in the upper chamber of a Boyden chamber, and invasion toward 20% fetal bovine serum (FBS) in the lower chamber was recorded ( n = 4–8). (G) In vivo tumorigenicity of CXCR4 + versus CXCR4 – cells for two representative CTC-derived models. Graded doses (1 to 10 3 cells/injection) were transplanted into immunocompromised nude mice. Table providing quantification (upper panel), estimate of stem cell frequency in vivo for CXCR4 – (black) versus CXCR4 + (red) CTC-derived PDAC cells by limiting dilution assay (lower panel). Depicted is a log-fraction plot of the limiting dilution model. The slope of the line is the log-active cell fraction. The dotted lines give the 95% CI. Analysis was performed at https://bioinf.wehi.edu.au/cgi-bin/limdil/limdil.pl . ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Please also see
Article Snippet:
Techniques: Digital PCR, Flow Cytometry, Derivative Assay, In Vivo, Injection, Limiting Dilution Assay
Journal: Stem cells (Dayton, Ohio)
Article Title: Human Placenta-Derived Adherent Cells Prevent Bone loss, Stimulate Bone formation, and Suppress Growth of Multiple Myeloma in Bone
doi: 10.1002/stem.572
Figure Lengend Snippet: PDACs injected intralesionally gradually disappear from bone within 2–4 weeks. Luciferase/GFP-expressing PDACs were analyzed by live animal imaging and immunohistochemistry. (A, B): Myelomatous severe combined immunodeficient (SCID)–rab mice were engrafted with myeloma cells from patient 1 and were intralesionally treated with luciferase/enhanced green fluorescent protein (EGFP)–expressing PDACs, which were examined by (A) live animal imaging and (B) bioluminescence analysis. (C) Myelomatous bone sections were immunohistochemically stained for EGFP 5 days and 5 weeks after injection of PDACs; note that clusters of PDAC were visible at day 5, whereas at 5 weeks, PDACs were occasionally detected with fibroblastoid-like and occasionally osteoblast-like, morphologies. (D): Nonmyelomatous SCID-rab mice were injected (via intrabone route) with PDACs and were examined by live animal imaging. (E): Hosts were subcutaneously injected with 5 × 106 PDACs (using HyStem-C hydrogel carrier) and examined by live animal imaging. See “Materials and Methods” section for the acquisition and processing of images. Abbreviations: OB, osteoblasts; PDAC, placenta-derived adherent cell.
Article Snippet: Placenta-Derived
Techniques: Injection, Luciferase, Expressing, Imaging, Immunohistochemistry, Staining, Derivative Assay
Journal: Stem cells (Dayton, Ohio)
Article Title: Human Placenta-Derived Adherent Cells Prevent Bone loss, Stimulate Bone formation, and Suppress Growth of Multiple Myeloma in Bone
doi: 10.1002/stem.572
Figure Lengend Snippet: PDACs inhibit growth of H929 myeloma cells in bone but not in subcutaneous microenvironment. H929 myeloma cells were engrafted in the implanted bone in Severe combined immunodeficient (SCID)–rab mice (A–D) or injected subcutaneously in SCID mice (E, F). On establishment of myeloma, vehicle (CONT) or PDACs (1 × 106 cells per mouse) were injected into the implanted bone or subcutaneous tumor (eight mice per group). In SCID-rab mice engrafted with myeloma, (A) changes in BMD of the implanted bone; (B) representative x-ray radiographs of the myelomatous bones from three of eight mice from each group, taken before treatment and at the end of the experiment (final); (C) numbers of tartrate-resistant acid phosphatase-expressing osteoclasts and osteocalcin-expressing osteoblasts in the myelomatous bone sections; and (D) human Ig (hIg) levels before treatment and at the end of the experiment. (E, F): In SCID mice with subcutaneous myeloma tumors, (E) hIg levels before treatment and at the end of the experiment and (F) subcutaneous tumor volume. Abbreviations: BMD, bone mineral density; CONT, control vehicle; PDAC, placenta-derived adherent cell; pre-Rx, prior to treatment.
Article Snippet: Placenta-Derived
Techniques: Injection, Expressing, Derivative Assay
Journal: Stem cells (Dayton, Ohio)
Article Title: Human Placenta-Derived Adherent Cells Prevent Bone loss, Stimulate Bone formation, and Suppress Growth of Multiple Myeloma in Bone
doi: 10.1002/stem.572
Figure Lengend Snippet: PDACs are capable of trafficking to myelomatous bone. Luciferase/enhanced green fluorescent protein (EGFP)–expressing PDACs were intravenously injected into SCID–rab mice engrafted with H929 myeloma cells; at indicated times, labeled PDACs were examined by live animal and ex vivo imaging and by immunohistochemical analysis for GFP. (A): Live animal imaging and ex vivo imaging of implanted bones in individual mice. Bioluminescence activity was detected in implanted bones of 10 of 18 mice (numbers 2, 5, 6, 7, 8, 9, 12, 13, 15, and 18). (B): Sections of implanted myelomatous bones were immunohistochemically stained for GFP, which detected PDACs in these bones 1 and 7 days after they were injected. See “Materials and Methods” section for the acquisition and processing of images. Abbreviations: MM, multiple myeloma; PDAC, placenta-derived adherent cell.
Article Snippet: Placenta-Derived
Techniques: Luciferase, Expressing, Injection, Labeling, Ex Vivo, Imaging, Immunohistochemical staining, Activity Assay, Staining, Derivative Assay
Journal: Stem cells (Dayton, Ohio)
Article Title: Human Placenta-Derived Adherent Cells Prevent Bone loss, Stimulate Bone formation, and Suppress Growth of Multiple Myeloma in Bone
doi: 10.1002/stem.572
Figure Lengend Snippet: PDACs induce apoptosis in osteoclast precursors and inhibit osteoclast formation. Osteoclast precursors were cultured alone (CONT) or cocultured with PDACs in noncontact conditions in osteoclast medium. (A): Numbers of apoptotic (annexin V positive) or nonviable (PI positive) osteoclast precursors after 4 days of culture. (B): Representative photos demonstrating the effects of PDACs on osteoclast apoptosis (top panel) and viability (middle panel). Total numbers of TRAP-expressing osteoclast precursors are visualized on the bottom panel. (C): Numbers of multi-nucleated and TRAP-expressing osteoclasts after 8 days of culture. (D): Representative photos demonstrating the effects of PDACs on OC differentiation. See “Materials and Methods” section for the acquisition and processing of images. Abbreviations: CONT, control vehicle; OC, osteoclast; PDAC, placenta-derived adherent cell; PI, propidium iodide; TRAP, tartrate-resistant acid phosphatase.
Article Snippet: Placenta-Derived
Techniques: Cell Culture, Expressing, Derivative Assay
Journal: Stem cells (Dayton, Ohio)
Article Title: Human Placenta-Derived Adherent Cells Prevent Bone loss, Stimulate Bone formation, and Suppress Growth of Multiple Myeloma in Bone
doi: 10.1002/stem.572
Figure Lengend Snippet: Survival of myeloma cells is poorer in coculture with PDACs than with MSCs. (A): The luciferase-expressing myeloma cell lines U266 and JB were cultured in a 96-well plate alone (CONT; 104 cells per well) or were cocultured for 7 days with PDACs or fetal MSCs (104 cells per well, for each cell type) and then subjected to bioluminescence quantification for measurement of growth rate [31]. Note that MSCs and PDACs supported growth of myeloma cells but the effect of MSCs was more profound. Indicated p values are compared with CONT group. (B): Similar to (A), a panel of seven luciferase-expressing myeloma cell lines (BN, JB, ARP1, U266, DNC, HLE, H929; 104 cells per well) were cocultured for 7 days with fetal MSCs, Pt. MSCs, or PDACs and then subjected to bioluminescence quantification. Results are expressed as fold of myeloma cell growth in coculture with fetal MSCs. Note reduced growth of myeloma cell lines in coculture with PDACs (p < .01, comparing all tested cell lines using analysis of variance). (C): CD138-selected myeloma cells (5 × 105 cells per well) from six patients were cocultured for 7 days in a 24-well plate in conditions allowing limited cell-cell contact with fetal MSCs or PDACs (105 cells per well, for each cell type) and then subjected to trypan blue analysis. Survival of myeloma cells was slightly, but not significantly, lower in coculture with PDACs than with fetal MSCs. (D): Annexin V/PI analysis of CD138-selected myeloma cells (from patient D) revealed a higher percentage of apoptotic myeloma cells in coculture with PDACs than with fetal MSCs. Abbreviations: CONT, control vehicle; MSC, mesenchymal stem cell; PDAC, placenta-derived adherent cell; Pt. MSC, patient mesenchymal stem cell.
Article Snippet: Placenta-Derived
Techniques: Luciferase, Expressing, Cell Culture, Derivative Assay
Journal: Science (New York, N.Y.)
Article Title: Modulation of the Proteostasis Network Promotes Tumor Resistance to Oncogenic KRAS Inhibitors
doi: 10.1126/science.abn4180
Figure Lengend Snippet: (A) Schematic illustration of labeling and detection of misfolded and aggregated proteins with PROTEOSTAT dye. Upon intercalation into the cross-beta spine typically found in misfolded and aggregated proteins, PROTEOSTAT dye emits strong fluorescence. (B and C) Representative images (B) and quantification (C) of PROTEOSTAT (magenta) and DAPI (blue) staining in iKrasP cells at different time points after KrasG12D inactivation by Dox-withdrawal (Off Dox) until the cells acquired resistance to KrasG12D inactivation (iKrasR cell). (D and E) Representative images (D) and quantification (E) of PROTEOSTAT (magenta) staining in spontaneous tumors from the Dox-inducible, KrasG12D-driven PDAC mouse model (iKras GEMM) treated with doxycycline (Dox, 2g/L, n=5), Dox withdrawal for 3 days (n=4) or relapsed after 30 weeks of Dox-withdrawal (n=7). (F) Quantification of PROTEOSTAT intensity in parental MIA-PaCa-2 (MIAP) cells treated with DMSO or 30nM sotorasib for 2 days or in sotorasib-resistant MIA-PaCa-2 (MIAR) cells treated with 30nM sotorasib. MIAR cells were generated in vitro by continued sotorasib treatment until the cells acquired resistance. (G and H) Representative images (G) and quantification (H) of PROTEOSTAT (magenta) and DAPI (blue) staining in MIA-PaCa-2 xenograft tumors treated with vehicle (n=4), sotorasib (30mg/kg for 1 day, n=3), or relapsed after 9 weeks of sotorasib treatment (30mg/kg, n=4). Data represent average fluorescence intensity of PROTEOSTAT/cell from each image (C and F) or tumor (E and H) and are presented as mean ± SD from n≥10 images. Scale bar: 20μm. Ordinary one-way ANOVA with Dunnett’s multiple comparisons test (C, E, F and H) was used to calculate P values. n.s., not significant, * P<0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.
Article Snippet: Oncogenic KRAS Inactivation Reprograms Proteostasis To understand the impacts of oncogenic KRAS on
Techniques: Labeling, Fluorescence, Staining, Generated, In Vitro