Additional file 2: Supplementary Fig. S1-S6. Supplementary Fig. S1. | Phylogenetic placement of Ca. Nanohaloarchaeota MAGs based on 122 concatenated archaeal protein markers. Supplementary Fig. S2. | Pairwise comparisons of average amino acid identities among all Ca. Nanohaloarchaeota genomes. Supplementary Fig. S3. | The gene clusters related to the pili biosynthesis. Supplementary Fig. S4. | Maximum likelihood-based phylogenetic tree of alpha amylase encoded by amy using IQ-TREE with the best model of LG+R5. Supplementary Fig....

The tremendous development of peptide-based cancer vaccine has attracted incremental interest as a powerful approach in cancer management, prevention and treatment. As successful as tumor vaccine has been, major challenges associated with achieving efficient immune response against cancer are (1) drainage to and retention in lymph nodes; (2) uptake by dendritic cells (DCs); (3) activation of DCs. In order to overcome these barriers, here we construct PBE-modified TRP2 nanovaccine, which comprises TRP2 peptide tumor antigen...

TFEB (transcription factor EB) regulates multiple genes involved in the process of macroautophagy/autophagy and plays a critical role in lifespan determination. However, the detailed mechanisms that regulate TFEB activity are not fully clear. In this study, we identified a role for HSP90AA1 in modulating TFEB. HSP90AA1 was phosphorylated by CDK5 at Ser 595 under basal condition. This phosphorylation inhibited HSP90AA1, disrupted its binding to TFEB, and impeded TFEB’s nuclear localization and subsequent autophagy induction. Pro-autophagy...

Additional file 1: Table S1. Configuration settings of radiomics in the study. Table S2. The nine features selected for the predictive model construction.

Additional file 2. Search strategies in each database.

Additional file 3. Supplementary data for focused clinical questions.

Additional file 1: Figure S1. The relationship between a healthy lifestyle and CMM in subgroup analyses. Figure S2. The relationship between a healthy lifestyle and CMM in seven sensitivity analyses. Figure S3. The frequency distribution graph of the weighted healthy lifestyle score for the whole population. Figure S4. The frequency distribution graph of the weighted healthy lifestyle score for 2/3 of the population. Figure S5. The frequency distribution graph of the sum healthy lifestyle score...

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Additional file 3: Table S3. Comparison of clinical outcomes between early and delayed initiation of rituximab subgroups in rituximab cohort

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Navtemadlin is a potent, selective, orally available inhibitor of murine double minute 2 that restores p53 activity to induce apoptosis in TP53 wild-type malignancies. Using richly sampled pharmacokinetic (PK) and pharmacodynamic (PD) data from healthy volunteers, a population PK/PD model was developed. A population PK (PPK) model described the PK characteristics of navtemadlin and its major metabolite acyl glucuronide (M1) and quantified enterohepatic recirculation (EHR). Post hoc individual PK parameters from this model were coupled...

Supplemental material, sj-docx-2-onc-10.1177_11795549221127161 for Effect of Number of Retrieved Lymph Nodes on Prognosis in FIGO Stage IA1-IIA2 Cervical Cancer Patients Treated With Primary Radical Surgery by Shan Jiang, Peng Jiang, Tingting Jiang, Yuan Tu, Jingni Zhang, Ning Li, Wei Kong, Yuzhen Huang and Rui Yuan in Clinical Medicine Insights: Oncology

Asthma is a heterogeneous disease with a range of observable phenotypes. To date, the characterization of asthma phenotypes is mostly limited to allergic versus non-allergic disease. Therefore, the aim of this big data study was to computationally derive asthma subtypes from the OneFlorida Clinical Research Consortium We obtained data from 2012-2020 from the OneFlorida Clinical Research Consortium. Longitudinal data for patients greater than two years of age who met inclusion criteria for an asthma exacerbation...

Additional file 12. Volcano plots for the differential expression analysis. These plots depict the log2 fold-change (x-axis) against the -log10 of the uncorrected p-value (y-axis) for each gene in each pairwise comparison in the medial preoptic area (MPOA, A), nucleus accumbens (NAc, B), and lateral septum (LS, C). Differentially expressed genes are depicted in red.

Additional file 13. Functional enrichment of genes differentially expressed in the medial preoptic area (MPOA). For each pairwise comparison, the functional enrichments in gene ontologies of the biological processes (A), cellular components (B), and molecular functions (C) categories were tested for the differentially expressed genes up- or down-regulated (UP, and DOWN, respectively). The labels of pairwise comparisons were coded in two letters: the first one represents the phenotype (M: mothers, F: fathers, P: paternal males,...

Additional file 1. Time spent in each behavior during the parental behavior test. The total duration across the entire test session is depicted for each animal for the autogrooming, carry, huddling, licking & grooming, locomotion, nest building, and sniffing behaviors; each data point thus represents a distinct animal. The horizontal line in the shaded violin represents the 50% quantile of the density estimate.

Additional file 20. Analysis of variance (ANOVA) results for the estimated proportions of the “Neurons” cell type in the genes differentially expressed in the medial preoptic area (MPOA), nucleus accumbens (NAc), and lateral septum (LS).)

Additional file 25. Functional enrichment of gene ontologies of the cellular components category in gene co-expression modules derived from the weighted gene coexpression network analysis (WGCNA).

Additional file 25. Functional enrichment of gene ontologies of the cellular components category in gene co-expression modules derived from the weighted gene coexpression network analysis (WGCNA).

Additional file 27. Functional enrichment of pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) in gene co-expression modules derived from the weighted gene coexpression network analysis (WGCNA).

Additional file 2. Analysis of variance (ANOVA) results for all behaviors scored during the parental behavior test.

Additional file 5. Original images of Western blots in Fig. 2D, Fig. 3D, Fig. 3E, Fig. 3G, and Fig. 4B, accompanied with brief instructions.

Additional file 2: Fig. S2 Relationship between METTL2A expression and clinicopathological parameters in BRCA form GEO cohorts. Distribution of METTL2A expression stratified by a, b Age, c N stage, d M stage, and e-g PR status.

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