116 research outputs found

    ABL Genomic Editing Sufficiently Abolishes Oncogenesis of Human Chronic Myeloid Leukemia Cells In Vitro and In Vivo

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    Chronic myelogenous leukemia (CML) is the most common type of leukemia in adults, and more than 90% of CML patients harbor the abnormal Philadelphia chromosome (Ph) that encodes the BCR-ABL oncoprotein. Although the ABL kinase inhibitor (imatinib) has proven to be very effective in achieving high remission rates and improving prognosis, up to 33% of CML patients still cannot achieve an optimal response. Here, we used CRISPR/Cas9 to specifically target the BCR-ABL junction region in K562 cells, resulting in the inhibition of cancer cell growth and oncogenesis. Due to the variety of BCR-ABL junctions in CML patients, we utilized gene editing of the human ABL gene for clinical applications. Using the ABL gene-edited virus in K562 cells, we detected 41.2% indels in ABL sgRNA_2-infected cells. The ABL-edited cells reveled significant suppression of BCR-ABL protein expression and downstream signals, inhibiting cell growth and increasing cell apoptosis. Next, we introduced the ABL gene-edited virus into a systemic K562 leukemia xenograft mouse model, and bioluminescence imaging of the mice showed a significant reduction in the leukemia cell population in ABL-targeted mice, compared to the scramble sgRNA virus-injected mice. In CML cells from clinical samples, infection with the ABL gene-edited virus resulted in more than 30.9% indels and significant cancer cell death. Notably, no off-target effects or bone marrow cell suppression was found using the ABL gene-edited virus, ensuring both user safety and treatment efficacy. This study demonstrated the critical role of the ABL gene in maintaining CML cell survival and tumorigenicity in vitro and in vivo. ABL gene editing-based therapy might provide a potential strategy for imatinib-insensitive or resistant CML patient

    A Longitudinal Historical Population Database in Asia. The Taiwanese Historical Household Registers Database (1906–1945)

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    For the past 35 years, the Taiwan Historical Household Registers Database (THHRD) has been significant for historical demographic research on Asia. In recent years, researchers have continued adding new demographic information to the database. This allows for the expansion of research on the topic of historical households in the region. However, there are still many issues to address in the field of Asian historical demography. This paper provides a brief introduction on the uses of THHRD for future research

    Robust estimation of bacterial cell count from optical density

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    Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

    Next-Generation Sequencing in the Genetics of Human Atrial Fibrillation

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    International Human Genome Sequencing Consortium published the first draft of the human genome in the journal Nature in February 2001, providing the sequence of the entire genome's three billion base pairs. The Human Genome Project involves a concerted effort to better understand the human DNA sequence through identification of all the genes. The knowledge that can be derived from the genome could result in the development of novel diagnostic assays, targeted therapies and the improved ability to predict the onset, severity and progression of diseases. This has been made possible by many parallelized, high-throughput technologies such as next-generation sequencing. In this review, we discuss the possible application of next-generation sequencing in finding the susceptibility gene(s) or disease mechanism of an important human arrhythmia called atrial fibrillation

    Aspirin Breaks the Crosstalk between 3T3-L1 Adipocytes and 4T1 Breast Cancer Cells by Regulating Cytokine Production.

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    Breast cancer is one of the most common cancers in women worldwide. The obesity process is normally accompanied by chronic, low-grade inflammation. Infiltration by inflammatory cytokines and immune cells provides a favorable microenvironment for tumor growth, migration, and metastasis. Epidemiological evidence has shown that aspirin is an effective agent against several types of cancer. The aim of this study is to investigate the anti-inflammatory and anti-cancer effects of aspirin on 3T3-L1 adipocytes, 4T1 murine breast cancer cells, and their crosstalk. The results showed that aspirin treatment inhibited differentiation and lipid accumulation by 3T3-L1 preadipocytes, and decreased the secretion of the inflammatory adipokine MCP-1 after stimulation with tumor necrosis factor (TNF)-α or conditioned medium from RAW264.7 cells. In 4T1 cells, treatment with aspirin decreased cell viability and migration, possibly by suppressing MCP-1 and VEGF secretion. Subsequently, culture of 4T1 cells in 3T3-L1 adipocyte-conditioned medium (Ad-CM) and co-culture of 3T3-L1 and 4T1 cells using a transwell plate were performed to clarify the relationship between these two cell lines. Aspirin exerted its inhibitory effects in the transwell co-culture system, as well as the conditioned-medium model. Aspirin treatment significantly inhibited the proliferation of 4T1 cells, and decreased the production of MCP-1 and PAI-1 in both the Ad-CM model and co-culture system. Aspirin inhibited inflammatory MCP-1 adipokine production by 3T3-L1 adipocytes and the cell growth and migration of 4T1 cells. It also broke the crosstalk between these two cell lines, possibly contributing to its chemopreventive properties in breast cancer. This is the first report that aspirin's chemopreventive activity supports the potential application in auxiliary therapy against obesity-related breast cancer development

    Aspirin treatment of 4T1 breast cancer cells cultured in 3T3-L1 adipocyte-conditioned medium (Ad-CM) affected the proliferative ability and cytokine production of breast cancer cells.

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    <p><b>A.</b> The morphology of 4T1 cells cultured in the presence of increasing concentrations of Ad-CM for 48 h was observed microscopically at 100× magnification. <b>B.</b> Effect of the concentration of Ad-CM on the proliferation of 4T1 cells. Cells were cultured in the presence of increasing concentrations of Ad-CM for 48 h, and were then trypsinized and counted by NC-3000. <b>C.</b> The 4T1 cells were cultured either in 25% or 50% Ad-CM with or without aspirin for 48 h, and a cell proliferation assay was performed. <b>D.</b> The production of characteristic tumor cytokines after 48-h culture was measured in the supernatant by ELISA. Data are presented as mean ± SEM. Statistical analysis was done by one-way ANOVA and LSD post hoc test; significantly different at * p < 0.05 or # p < 0.001 vs. control group.</p

    The effect of aspirin on MCP-1 secretion by 3T3-L1 adipocytes.

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    <p><b>A.</b> The 3T3-L1 adipocytes were cultured in the presence or absence of aspirin and stimulated by 2.5 ng/mL TNF-α for 24 h. <b>B.</b> The 3T3-L1 adipocytes were cultured in the presence or absence of aspirin in RAW264.7 conditioned medium for 24 h. Data are presented as mean ± SEM. Statistical analysis was done by one-way ANOVA and LSD post hoc test; significantly different at * p < 0.05 or # p < 0.001 vs. control group.</p
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