Comparison of salinity tolerance of two parental varieties YSM1 and Gairdner.

<p>(A) after 2-week SalinityD treatment and (B) after 4-week SalinityD treatment.</p

QTL for SalinityD tolerance (SD) and SalinityW (SW) identified in the DH population of Gairdner × YSM1 in winter trials (Only QTL with LOD value>3.0 were shown).

<p>QTL for SalinityD tolerance (SD) and SalinityW (SW) identified in the DH population of Gairdner × YSM1 in winter trials (Only QTL with LOD value>3.0 were shown).</p

Distribution of plant development scores of DH lines after 3-week SalinityD treatment in the summer trial (parental varieties included).

<p>Distribution of plant development scores of DH lines after 3-week SalinityD treatment in the summer trial (parental varieties included).</p

QTL for SalinityD tolerance (SD), SalinityW tolerance (SW), flowering time (FT) and leaf Na/K ratio (SDNaK) identified in the DH population of Gairdner × YSM1 in summer trials (Only QTL with LOD value>3.0 were shown).

<p>^{a ‘}S’ stands for SNP markers</p><p>^{b ‘}D’ stands for DArT markers.</p><p>QTL for SalinityD tolerance (SD), SalinityW tolerance (SW), flowering time (FT) and leaf Na/K ratio (SDNaK) identified in the DH population of Gairdner × YSM1 in summer trials (Only QTL with LOD value>3.0 were shown).</p

QTL associated with salinity tolerance, flowering time and leaf Na/K ratio.

<p>Map distances in centiMorgan (cM) are on the left.</p

Distribution of salinity tolerance (damage scores) of DH lines under drained and waterlogged conditions in summer trials (A) and winter trials (B) (parental varieties included).

<p>Solid bars: the number of individuals after four-week SalinityD treatment and hollow bars: the number of individuals after two-week SalinityW treatment. ‘Y’ = YSM1, ‘G’ = Gairdner.</p

Image_1_Coagulation- and fibrinolysis-related genes for predicting survival and immunotherapy efficacy in colorectal cancer.tif

BackgroundColorectal cancer (CRC) is a common cancer and has a poor prognosis. The coagulation system and fibrinolysis system are closely related to the progression of malignant tumors and is also related to the immunotherapy of malignant tumors. Herein, we tried to predict survival and the immunotherapy effect for patients with CRC using a novel potential prognostic model.MethodsThrough online data of TCGA and GEO, we screened significantly differentially expressed genes (DEGs) to construct a prognostic model, followed by obtaining immune-related genes (IRGs) from the ImmPort database and coagulation- and fibrinolysis-related genes (CFRGs) from the GeneCards database. The predictive power of the model is assessed by Kaplan–Meier survival curves as well as the time-dependent ROC curve. Moreover, univariate and multivariate analyses were conducted for OS using Cox regression models, and the nomogram prognostic model was built. In the end, we further studied the possibility that CXCL8 was associated with immunocyte infiltration or immunotherapy effect and identified it by immunohistochemistry and Western blot.ResultsFive DEGs (CXCL8, MMP12, GDF15, SPP1, and NR3C2) were identified as being prognostic for CRC and were selected to establish the prognostic model. Expression of these genes was confirmed in CRC samples using RT-qPCR. Notably, those selected genes, both CFRGs and IRGs, can accurately predict the OS of CRC patients. Furthermore, CXCL8 is highly correlated with the tumor microenvironment and immunotherapy response in CRC.ConclusionOverall, our established IRGPI can very accurately predict the OS of CRC patients. CXCL8 reflects the immune microenvironment and reveals the correlation with immune checkpoints among CRC patients.</p

Plasma lipids levels and body weights of <i>Ldlr</i>^−/− mice fed HF or regular chow diets over time.

<p>Plasma total cholesterol, LDL and HDL levels in HF diet-fed (A), and regular chow diet-fed (C) male <i>Ldlr</i>^−/− mice. Body weights of HF diet-fed (B) and regular chow diet-fed (D) mice. Data are presented as mean values ± SEM (n = 10).</p

Atherosclerotic lesion development in the aortic sinus of <i>Ldlr</i>^−/− mice.

<p>A and B, Representative examples of H&E, Movat's pentachrome, VSMC-specific Actin and macrophage antibody (Mac-2)-stained aortic sinus sections are provided. In Movat's pentachrome stained sections, black represents nuclei and elastin fibers, blue represents ground substance and mucin, yellow represents collagen and reticular fibers, red represents muscle, and intense red represents fibrinoid and fibrin. The asterisk indicates the classical cholesterol cleft, while NC stands for necrotic core. The arrow signifies representative regions staining positively for VSMC and macrophage. The bar indicates 200 µm in (A) and 50 µm in (B), respectively.</p

Table_1_Coagulation- and fibrinolysis-related genes for predicting survival and immunotherapy efficacy in colorectal cancer.docx

BackgroundColorectal cancer (CRC) is a common cancer and has a poor prognosis. The coagulation system and fibrinolysis system are closely related to the progression of malignant tumors and is also related to the immunotherapy of malignant tumors. Herein, we tried to predict survival and the immunotherapy effect for patients with CRC using a novel potential prognostic model.MethodsThrough online data of TCGA and GEO, we screened significantly differentially expressed genes (DEGs) to construct a prognostic model, followed by obtaining immune-related genes (IRGs) from the ImmPort database and coagulation- and fibrinolysis-related genes (CFRGs) from the GeneCards database. The predictive power of the model is assessed by Kaplan–Meier survival curves as well as the time-dependent ROC curve. Moreover, univariate and multivariate analyses were conducted for OS using Cox regression models, and the nomogram prognostic model was built. In the end, we further studied the possibility that CXCL8 was associated with immunocyte infiltration or immunotherapy effect and identified it by immunohistochemistry and Western blot.ResultsFive DEGs (CXCL8, MMP12, GDF15, SPP1, and NR3C2) were identified as being prognostic for CRC and were selected to establish the prognostic model. Expression of these genes was confirmed in CRC samples using RT-qPCR. Notably, those selected genes, both CFRGs and IRGs, can accurately predict the OS of CRC patients. Furthermore, CXCL8 is highly correlated with the tumor microenvironment and immunotherapy response in CRC.ConclusionOverall, our established IRGPI can very accurately predict the OS of CRC patients. CXCL8 reflects the immune microenvironment and reveals the correlation with immune checkpoints among CRC patients.</p