BUSCADOR RECOLECTA

19 páginas, 7 tablas y figuras. Incluye bibliografía., Peer reviewed

Figure S1. SS31 and ER stress inhibition improves aneurysm severity. (A) ApoE−/− mice were infused with saline or angiotensin II (Ang II). Ang II-infused mice were either untreated or treated with SS-31, SS-20, TUDCA or PBA. The histogram shows abdominal aortic aneurysm (AAA) severity in percentage of mice, following the score established by Manning et al (2002). (B) Aneurysm severity in ApoE−/−/Chop−/− (DKO) mice and their littermates (ApoE−/−/Chop+/+) infused with either saline or Ang II. Figure S2. ER stress markers are up regulated in murine AAA. (A-E) Time-course analysis of Hspa5, Atf4, Atf6, Ern1 and Chop mRNA levels assessed by quantitative real-time PCR in abdominal aortas from ApoE−/− mice infused with Ang II. Values shown are the mean ± s.e.m. (n = 6–8). *P < 0.05 vs. t = 0 (one-way ANOVA, post hoc Bonferroni test). Figure S3. Effect of ER stress inhibitors on ER stress and mitochondrial dysfunction markers in the abdominal aorta from Ang II-infused ApoE−/− mice. ApoE−/− mice were infused with either saline or Ang II. Ang II-infused ApoE−/− mice were untreated or treated with either TUDCA or PBA. (A-F) Quantitative analysis of the mRNA levels of Hspa5, Atf4, Atf6, Ern1, Xbp1, sXbp1 and Chop (n = 10–15). (G-I) Abdominal aortic expression of mt-Co3, Dnml1 and Bnip3 were evaluated by real-time PCR (n = 10–15). Values, normalized to Gapdh expression, are shown as mean ± s.e.m. P < 0.05: * vs. saline; # vs. Ang II (one-way ANOVA, post hoc Bonferroni test; or Kruskal Wallis test when data did not fit normality). Figure S4. Effect of SS31 and ER stress inhibitors on cleaved-Atf6 and spliced Xbp1 protein in the abdominal aorta from Ang II-infused ApoE−/− mice. ApoE−/− mice were infused with either saline or Ang II. Ang II-infused ApoE−/− mice were untreated or treated with SS20, SS31, TUDCA or PBA. (A-D) Abdominal aortic protein expression of cleaved-Atf6 and sXbp1 were evaluated by western blot (n = 5–7). Quantitative analysis of the relative protein expression is shown as mean ± s.e.m. P < 0.05: * vs. saline; # vs. Ang II (one-way ANOVA, with Tukey's multiple comparisons test). Figure S5. The expression of both pro-inflammatory and ER stress markers is up-regulated in abdominal aortic aneurysm (AAA) from ApoE−/−/CHOP−/− mice. (A) Il1β, Il6 and Ccl2 mRNA levels (IF: inflammatory) and; (B) Hspa5, Atf4, Atf6, Ern-1 and Chop mRNA levels analyzed by quantitative real-time PCR in abdominal aorta from ApoE−/−/Chop−/− (DKO) mice infused with either saline or Ang II for 28 days were normalized to Gapdh (n = 6). Results are expressed as mean ± s.e.m. *P < 0.05 vs DKO saline (unpaired t-test). Figure S6. Mitochondrial and ER stress inhibition limits the cardiac expression of ER stress and hypertrophic markers induced by Ang II in Apo E−/− mice. ApoE−/− mice were infused with either saline or Ang II, then treated or not with SS31, SS20, TUDCA, or PBA. Quantitative analysis of aortic mRNA levels of Hspa5 (A), Atf4 (B), Atf6 (C), Chop (D), Anp (E) and Myh7 (F) normalized to Gapdh (n = 8). Values shown are mean ± s.e.m. P < 0.05: * vs. saline; # vs. Ang II and SS20 (one-way ANOVA, post hoc Bonferroni test). Table S1. Biochemical profile in all groups of mice. Table S2. Diastolic function parameters in all groups of ApoE−/− mice., Peer reviewed

Additional file 1: Figure S1. Infarct volume and heatmaps of global endothelial DEGs. A) Infarct volume of the PdgfbicreER:Rpl22HA mice. B) Heatmap of DEGs between ischemic and control endothelial cell RNA obtained from the PdgfbicreER:Rpl22HA mice. C) Infarct volume of the group of mice used for cell sorting. Differences in infarct volume between groups shown in (A) and (C) were not statistically significant (Mann–Whitney test, p = 0.69). The graphs in (A) and (C) show values for individual mice and the median and interquartile range. D) Heatmap showing corresponding transcriptomic data from CD31+ cells obtained by cell sorting comparing ischemic vs. control tissue (n = 4 per group and technique). Additional file 2: Table S1. Pathway enrichment analysis for the Pdgf-RiboTag technique Additional file 3: Table S2. Pathway enrichment analysis for the CD31+ cell sorting technique. Additional file 4: Figure S2. Comparison of DEGs in our data sets with published data focusing on BBB dysfunction. A) Endothelial specific and brain tissue specific genes reported by Cleuren et al. [19] were found in our data sets, but they were enriched in the cell sorting data vs. the Ribotag data. B) BBB breakdown is illustrated in brain tissue sections by IgG extravasation at 1-day and 4-day post-ischemia. Quantification of integrated optical density of the IgG signal showed increases in the ipsilateral vs. the contralateral hemisphere at day 1 (n = 6, *p = 0.019) and day 4 (n = 4, *p = 0.020) post-ischemia (Kruskal–Wallis test with Dunn’s multiple comparisons test). The graph shows a violin plot, where each value is represented together with the median and interquartile ranges. Ipsi: ipsilateral, Contra: contralateral. C) Comparison of ischemia induced DEGs with the BBB dysfunction module of genes reported by Munji et al. [6] using GSEA analysis. We identified 44 gene coincidences in the Ribotag data (C) and 74 genes in the CD31+ cell sorting data (E). Corresponding GSEA plot signatures for RiboTag data (D) and CD31+ cell sorting data (F) show good enrichment of the BBB dysfunction module in our data sets. Additional file 5: Figure S3. Validation of expression of cell-type marker genes by RT-PCR. In independent groups of naïve mice (n = 3 per group) we obtained endothelial mRNA by the RiboTag technique using PdgfbicreER:Rpl22HA mice, or by CD31+ cell sorting, as before. We extracted mRNA and carried out RT-PCR for validation of expression of cell markers. We compared the results with mRNA extracted from whole brain tissue (cortex) of naïve mice (n = 4). Values are expressed as fold vs. total brain tissue. Results show that the two methods of endothelial RNA extraction are enriched in endothelial markers, such as CD31 (Pecam1) and Vegfc. However, the platelet derived growth factor receptor beta, Pdgfrb, a marker of pericytes, is also enriched, and Tubb3, a marker of neurons is enriched in the mRNA obtained from the PdgfbicreER:Rpl22HA mice, confirming some contamination with RNA from other cell types in each preparation. ***p < 0.001, **p < 0.01. Two-way ANOVA and Šídák's multiple comparisons test. Data are shown as the mean ± SD. Additional file 6: Table S3. Gene sets differentially expressed in ischemic endothelium commonly found in the RiboTag technique and the CD31+ cell sorting technique. Additional file 7: Table S4. Pathways commonly up- or down-regulated in the RiboTag technique and CD31+ cell sorting technique. Additional file 8: Figure S4. Visualization of functional profiles for gene and gene clusters within DEGs of the ‘Endothelial response to acute ischemia’ module (related to Fig. 4) by means of gene set enrichment analysis with TopGO. Hierarchical relations among inflammatory/immune pathways are highlighted, since they predominated in the acute phase of stroke., Peer reviewed

Contents 1. Properties of ionic liquids used in this work 2. Effective mass of devices 2.1. MCNW devices 2.2. SANW devices 3. Accuracy of the point-mass approximation 3.1. Point-mass at a distance from the free end of the resonator 3.2. Thin film with a given wetting length 4. Comparison of mass measurements from nanomechanical sensing and from Scanning Electron Microscopy imaging 4.1. MCNW devices 4.2. SANW devices 5. Effects of bias voltage polarity and ambient conditions on mass flow control 6. References, Properties of ILs used in this work; characterization of the effective mass of the resonator devices; analysis of the accuracy of the point-mass approximation; comparison of mass measurements from nanomechanical sensing and from SEM imaging; effects of bias voltage polarity and ambient conditions on mass flow control (PDF), Peer reviewed

This publication contains the original data supporting our results concerning the application of biphasic pulsed electrical stimulation on MG-63 cells. We aim to discriminate between effects of the electric field and electrochemically conditioned medium. The dataset consists of the original output files, excel sheets to consolidate the information for the experiments as well as Readme.txt files with most important information concerning the data. For additional information on the material and methods as well as results see the corresponding research article., This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), grant number SFB ELAINE, 1270/1,2-299150580. We also acknowledge the funding from Atracción de Talento Programme, Modalidad-1 Ref. 2019-T1/IND-1335 and the grant PID2021-128611OB-I00 funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe., Peer reviewed

3 figuras y 3 tablas, Peer reviewed

12 páginas, 8 figuras de información suplementaria., Peer reviewed

Peer reviewed

Supplemental Figure S1. Correlation between branch length and diameter for diploid (purple), triploid (brown), and tetraploid (blue) trees grown on their own roots in the field. Supplemental Figure S2. Leaf phenology of diploid (pink), triploid (brown), and tetraploid (blue) grafted atemoya genotypes grown in the greenhouse. Supplemental Figure S3. Aboveground organ measurement in grafted scions of diploid (purple), triploid (brown), and tetraploid (blue) atemoya trees grown in the greenhouse. Supplemental Figure S4. Correlation between SI and leaf area in diploid (pink), triploid (brown), and tetraploid (blue) grafted atemoya polyploids. Supplemental Figure S5. Vessel element radii (logarithmic scale) in the continuum formed by stems of decreasing diameters (circles), leaf veins of increasing order (triangles), and flower pedicels (ribbons) of diploid (pink), triploid (brown), and tetraploid (blue). Supplemental Figure S6. Relative humidity (blue) and temperature (red) in the greenhouse during 2019 and 2020. Supplemental Figure S7. Total leaf number per branch in diploid (pink), triploid (brown), and tetraploid (blue) atemoya scions at the end of the growth season (June 2020), as a function of treatment. Supplemental Figure S8. Stomatal conductance of diploid (pink), triploid (brown), and tetraploid (blue) grafted atemoya genotypes grown in the greenhouse under three irrigation regimes. Supplemental Table S1. Gas exchange variables., J.M.L. was financed by a ComFuturo Project from the Fundación General CSIC (FGCSIC), 2 RTI Projects (100-900-0000/AEI/10.13039/501100011033 and PID2021-129074OB-I00) from the Agencia Estatal de Investigación (AEI)-Ministerio de Ciencia e Innovación (MCINN), Spain, and a LINKB20067 from Consejo Superior de Investigaciones Científicas (CSIC). J.I.H. was supported by PID2019-109566RB-I00 funded by AEI-MICINN and ERDF A way to make Europe (MCIN/AEI/10.13039/501100011033). Open access was partially funded by CSIC and the Project QUAL21 012 IHSM from Consejería de Universidad, Investigación e Innovación, Junta de Andalucía., Peer reviewed

Table S1: Response of the Lens germplasm accessions to U. viciae-fabae ex L. culinaris studied. DS = Disease Severity (%); IT = Infection Type according Stakman et al. (1962) [29], 6 where IT 0 = no symptoms, IT ; = necrotic flecks, IT 1 = minute pustules barely sporulating, IT 2 = necrotic halo surrounding small pustules, IT 3 = chlorotic halo and IT 4 = well-formed pustules with 7 no associated chlorosis or necrosis. 8 Ns = not studied, This research was funded by the Spanish Agencia Estatal de Investigación (AEI) grant PID2020-114668RB-100., Peer reviewed