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Organoid culture is a promising biomedical technology that requires specialized growth factors. Recently, a recombinant L-WRN cell line has been extensively used to generate conditioned medium (L-CM) for organoid culture. Nevertheless, methods for evaluating the stability of the L-WRN cells have been limited. In this study, a novel proteomics-based approach was developed to analyze the secretome of the cells. Serum-free L-CM was lyophilized, precipitated by trichloroacetic acid, and desalted prior to analysis by liquid chromatography–tandem mass spectrometry. Data-dependent acquisition (DDA) was conducted for the untargeted secretome profiling of the cells, and parallel reaction monitoring (PRM) was applied for the targeted quantification of the Wnt3A, R-spondin3, and noggin proteins (WRNs). This study also compared the performance of two types of PRM methods, namely MS1-independent PRM and MS1-dependent PRM, that can be executed on an Orbitrap instrument. The results showed that the growth of mouse intestinal organoids was closely related to the use of L-CM. The composition of L-CM could be markedly affected by the medium collection scheme. A total of 1725, 2302, and 2681 proteins were identified from the L-CM collected on day 5, day 9, and day 13, respectively. The MS1-independent PRM outperformed the MS1-dependent PRM and effectively quantified the WRNs with high repeatability and specificity. In conclusion, by integrating untargeted and targeted proteomics, this study develops a mass spectrometry–based method for the secretome analysis and quality control of the L-WRN cells. The methodology and findings of the present work will benefit future studies on organoids and secretomes. [ABSTRACT FROM AUTHOR]

The accuracy level of short-term load forecasting (STLF) affects the power department's arrangements for unit start-up, shutdown, overhaul, and load dispatching. However, the existing algorithms do not fully consider load volatility and difficulty in setting the algorithm parameters. In this regard, this paper proposes a hybrid model which combines complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), gated recurrent unit (GRU) with improved gray wolf optimizer (IGWO), namely CEEMDAN–IGWO–GRU (CIG) hybrid algorithm. Firstly, the details and trend information of the load signal are separated by the CEEMDAN algorithm to suppress the interference of load fluctuation. Then, the GRU network optimized by IGWO parameters is used to predict each component, separately. Finally, the complete load forecasting results are obtained by reconstructing the forecasting result of each component. The power load data of a certain area under study is used to verify the CIG model, and the experimental results are compared with other existing algorithms. The experimental results show that the load forecasting results of the CIG model get the high-precision evaluation of 0.6997%, 52.4685, and 38.1891 MW in MAPE, RMSE, and MAE, respectively. Therefore, the parameter optimization ability of the IGWO algorithm can effectively improve the prediction accuracy, and the CIG method can availably suppress the impact of load fluctuation on prediction and has a powerful nonlinear fitting ability. In conclusion, CIG has great potential in establishing a power load forecasting model. [ABSTRACT FROM AUTHOR]

Isochromosome 20q- (i(20q-)), as a rare reproducible chromosomal anomaly formed on the basis of 20q-, has not been commonly reported. Due to the rarity of this karyotypic anomaly, the bone marrow morphological characteristics of the patients with i(20q-) have not been clarified until now. In this study, the bone marrow cell morphology from MDS patients with isolated i(20q-), isolated 20q-, and normal karyotype was retrospectively compared and statistically analyzed. The results indicated that the isolated i(20q-) was mostly detected in MDS-MLD patients. The frequency and proportion dysplasia of cytoplasmic vacuolization in erythoid cells and small or unusually large size in myeloid cells of isolated i(20q-) MDS patients were significantly higher than those of normal karyotype MDS patients respectively (P < 0.05); the frequency and proportion dysplasia of decreased granules/agranularity in myeloid cells of isolated i(20q-) MDS patients were higher than those of isolated 20q- MDS patients (P < 0.05). The incidence of some specific morphological manifestations, such as deeply lobulated and hyperlobulated megakaryocytes and hypogranular and vacuolized eosinophils, may be an important morphological implication for the anomaly of isolated i(20q-). These morphological features of dysplasia may be helpful in distinguishing MDS with isolated i(20q-) from those with isolated 20q- and normal karyotype. [ABSTRACT FROM AUTHOR]

This study aimed to determine the clinical characteristics and prognostic significance of the meningioma 1 ( MN1) gene and MN1-associated microRNA expression in Chinese adult de novo acute myeloid leukemia (AML) patients. The expression level of MN1, microRNA- 20 ( miR- 20a), and microRNA- 181b ( miR- 181b) in bone marrow mononuclear cells was measured in 158 newly diagnosed AML patients and 20 cases of normal healthy donors by real-time quantitative reverse transcriptase polymerase chain reaction. All AML patients significantly overexpressed MN1 at the level of 0.01983 ( P < 0.001) compared with normal controls. High MN1 expression was associated with spleen involvement ( P = 0.037), NPM1 wild type ( P = 0.001), lower miR- 20a expression levels ( P = 0.015), and higher miR- 181b expression levels ( P = 0.035). MiR- 20a ( P = 0.029) and miR- 181b ( P = 0.017) overexpressed in the bone marrow cells of patients with certain subtypes of AML compared with healthy donors. High MN1 expressers had lower complete remission (CR) rates and shorter overall survival (OS) within the Southwest Oncology Group classification. In multivariable models, high MN1 expression was associated with worse CR rates ( P = 0.01), relapse-free survival (RFS; P = 0.02), and OS ( P = 0.02); high miR- 20a expression was associated with higher CR rates ( P = 0.008) and longer OS ( P = 0.04), whereas high miR- 181b expression was associated with lower CR rates ( P = 0.03), and shorter RFS ( P = 0.045) and OS ( P = 0.017). High MN1 expression confers worse prognosis in Chinese adult patients with de novo AML. MN1 gene and MN1-associated microRNAs provide clinical prognosis of AML patients and may refine their molecular risk classification. [ABSTRACT FROM AUTHOR]