Additional file 5 of Identification of key gene networks related to the freezing resistance of apricot kernel pistils by integrating hormone phenotypes and transcriptome profiles

Additional file 5: Table S6. Annotation of hub genes in the brown module

Additional file 4 of Identification of key gene networks related to the freezing resistance of apricot kernel pistils by integrating hormone phenotypes and transcriptome profiles

Additional file 4: Table S5. The expression level of DEGs related to plant hormone signaling transduction in two apricot kernel cultivars under freezing stress

Additional file 3 of Identification of key gene networks related to the freezing resistance of apricot kernel pistils by integrating hormone phenotypes and transcriptome profiles

Additional file 3: Table S4. The raw expression information of DEGs in two apricot kernel cultivars under freezing stress

Additional file 2 of Identification of key gene networks related to the freezing resistance of apricot kernel pistils by integrating hormone phenotypes and transcriptome profiles

Additional file 2: Table S2. The expression information of genes in the transcriptome of two apricot kernel cultivars

Additional file 1 of Identification of key gene networks related to the freezing resistance of apricot kernel pistils by integrating hormone phenotypes and transcriptome profiles

Additional file 1: Fig. S1. Clustering and PCA of transcriptomes of CsL and CtW. Fig. S2. Venn diagram of the DEGs related to plant hormone signaling transduction identified in CsL, CtW and CsL vs CtW. Table S1. List of primers used for qRT-PCR. Table S3. Summary of mapping transcriptome reads to reference sequence

Additional file 3 of Lipid metabolic features of T cells in the Tumor Microenvironment

Supplementary Material

Additional file 1 of Lipid metabolic features of T cells in the Tumor Microenvironment

Supplementary Material

DataSheet_1_The serum follicle stimulating hormone-to-luteinizing hormone ratios can predict assisted reproductive technology outcomes in women undergoing gonadotropin releasing hormone antagonist protocol.xlsx

BackgroundThe basal follicle stimulating hormone (FSH)/luteinizing hormone (LH) ratio is a useful predictor of ovarian response. In this study, we investigated whether the FSH/LH ratios during the entire controlled ovarian stimulation (COS) can be used as effective predictors of outcomes in women undergoing in vitro fertilization (IVF) treatment using the gonadotropin releasing hormone antagonist (GnRH-ant) protocol.MethodsA total of 1,681 women undergoing their first GnRH-ant protocol were enrolled in this retrospective cohort study. A Poisson regression model was used to analyze the association between the FSH/LH ratios during COS and embryological outcomes. Receiver operating characteristic analysis was performed to determine the optimal cutoff values for poor responders (≤ 5 oocytes) or poor reproductive potential (≤ 3 available embryos). A nomogram model was constructed to provide a tool for predicting the cycle outcomes of individual IVF treatments.ResultsThe FSH/LH ratios (at the basal day, stimulation day 6 (SD6) and trigger day) were significantly correlated with the embryological outcomes. The basal FSH/LH ratio was the most reliable predictor of poor responders with a cutoff value of 1.875 (area under the curve (AUC) = 72.3%, P ConclusionsFSH/LH ratios are useful predictors of poor ovarian response or reproductive potential throughout the entire COS with the GnRH antagonist protocol. Our findings also provide insights into the potential for LH supplementation and regimen adjustment during COS to achieve improved outcomes.</p

Additional file 2 of Lipid metabolic features of T cells in the Tumor Microenvironment

Supplementary Material

Additional file 4 of Lipid metabolic features of T cells in the Tumor Microenvironment

Supplementary Material