BUSCADOR RECOLECTA

Supplementary data 1: Figure S1. Size distribution histogram with Gaussian-fitting curve (solid line) for CuS NPs obtained from TEM images (N=180). The average size was 108 ± 25 nm. Figure S2. TEM images showing BNCs size and morphology. Figure S3. XRD diffractograms of nanogels, CuS NPs functionalized by LbL and BNCs. Figure S4. (a) TGA (black) and derivative of TGA (red) plots for BNC-nanogels. (b) TGA (black) and derivative of TGA (red) plots for CuS NPs functionalized by LbL. Figure S5. Heating curve of water using 808 nm laser at 5.2 W/cm2. Figure S6. Flow cytometry histograms regarding cell apoptosis and cycle obtained from control and CuS@BNC-nanogels samples for the four cell types tested., Peer reviewed

Figure S1: (a) SEM image of GO flakes on Si/SiO2 wafer, and (b) Analysis of the lateral flake size - the histogram was fitted using the Lorentzian function as shown in the black line. The sizes of 132 flakes from multiple SEM images were measured using ImageJ®. Figure S2: (a) TGA curve of GO powder, and (b) FTIR spectrum of GO powder. Table S1. Average total flux and NaCl rejection of the prepared membranes. Aqueous feed solution: 35 g L-1 NaCl. Feed and permeate temperatures of 75 °C and 20 °C, respectively. Average values of the total flux and NaCl rejection resulted from at least three samples of the same membrane type. Figure S3: (a)Wet and dry curves, and (b) pore size distribution of PVDF membranes. Figure S4: (a) UV-Vis calibration of GO in DI water (extinction coefficient of 55.113), and (b) UV-Vis spectra of the water after exposure of GO-PVDF, GO-PDA-PVDF and 40GO membranes for 86 h. Figure S5: SEM images of the distillate-facing side of a 40GO membrane at two different magnifications. Figure S6: (a) SEM image of membrane area analysed (b) EDX analysis results on an area of the back surface of a 40GO membrane PVDF membrane showing the presence of NaCl. Figure S7: EDX analysis results on an area of the back surface of a 40GO membrane showing which does not show enough evidence for the presence of NaCl., Peer reviewed

UV–vis characterization of OHRhMOP alkyl functionalization with diz in solution; GIXD characterization during MOP film formation; schematic representation of MOP LS film deposition; UV–vis and AFM characterization of MOP films deposited onto quartz substrates; Rh-MOP mass deposited onto QCM disks; BAM images obtained during OHRhMOP + diz film formation; UV–vis and AFM characterization of the post-synthetic modification of MOP films; parameters used to simulate the Rh 3d high-resolution XPS spectra of MOP films; and comparison of the performance of MOP and PIM ultrathin films in CO2/N2 separation., Peer reviewed

Additional experimental details, including PXRD patterns, NPD refinement graphs, EDS spectra, magnetic measurements details and graphs, and computational details., Peer reviewed

The supporting information: Figure S1: Representative TEM images of Au seeds and different growth processes with different amounts of iron precursor; Figure S2: Representative TEM images of Au@Fe-PEG NP; Figure S3: UV–Vis spectra of oleic acid capped Fe@Au NPs (black) and PEGylated Fe@Au NPs (blue); Figure S4: Plot of 1/T1 over Fe concentration of PEGylated Fe@Au NPs calculated at 1.44 T. Figure S5: Representative optical microscopy images of HFF-1 cells incubated with Au@Fe-PEG NPs (100 µg/mL Fe+Au)., Peer reviewed

Figure S1, AC magnetic susceptibility characterization of different organs (tumor, liver, skin, and blood); Figure S2, scaled out-of-phase magnetic susceptibility of several tissues and nanoparticle standards scaled to their maximum to compare the location in temperature of the maxima., Peer reviewed

Identification of genomic alterations that influence the immune response within the tumor microenvironment is mandatory in order to identify druggable vulnerabilities. In this article, by interrogating public genomic datasets we describe copy number variations (CNV) present in breast cancer (BC) tumors and corresponding subtypes, associated with different immune populations. We identified regulatory T-cells associated with the Basal-like subtype, and type 2 T-helper cells with HER2 positive and the luminal subtype. Using gene set enrichment analysis (GSEA) for the Type 2 T-helper cells, the most relevant processes included the ERBB2 signaling pathway and the Fibroblast Growth Factor Receptor (FGFR) signaling pathway, and for CD8+ T-cells, cellular response to growth hormone stimulus or the JAK-STAT signaling pathway. Amplification of ERBB2, GRB2, GRB7, and FGF receptor genes strongly correlated with the presence of type 2 T helper cells. Finally, only 8 genes were highly upregulated and present in the cellular membrane: MILR1, ACE, DCSTAMP, SLAMF8, CD160, IL2RA, ICAM2, and SLAMF6. In summary, we described immune populations associated with genomic alterations with different BC subtypes. We observed a clear presence of inhibitory cells, like Tregs or Th2 when specific chromosomic regions were amplified in basal-like or HER2 and luminal groups. Our data support further evaluation of specific therapeutic strategies in specific BC subtypes, like those targeting Tregs in the basal-like subtype., Peer reviewed

Supplementary data 1. Experimental vineyards and abiotic factors • Figure S1. Monthly precipitations in 2020. • Table S1. Plant protection applications in the experimental vineyards. • Table S2. Physical and chemical properties of organic mulches. • Table S3. Descriptive and statistics for the soil properties by experimental vineyards. • Table S4. Descriptive and statistics for soil activities and the abundance of DNA and soil organisms by experimental vineyards. • Table S5. Descriptive and statistics of soil properties by seasonal sampling. • Table S6. Descriptive and statistics of soil properties by treatments in the experimental vineyard 1 (conventional viticulture). • Table S7. Descriptive and statistics of soil properties by treatments in the experimental vineyard 2 (organic viticulture). Supplementary data 2. Results • Figure S2. Statistics for pair-treatment comparisons for the frequency of dead larvae in insect baits. • Figure S3. Statistics for pair-treatment comparisons for the frequency of larvae producing nematode emergences in insect baits. • Figure S4. Statistics for pair-treatment comparisons for the frequency of larvae that confirmed the Koch’s postulate tests. • Figure S5. DNA abundance of soil samples extracted through sucrose centrifugation. • Figure S6. Statistics for pair-treatment comparisons for the DNA abundance of soil organisms isolated through sucrose centrifugation. • Figure S7. Statistics for pair-treatment comparisons of the abundance of entomopathogenic nematodes isolated through sucrose centrifugation. • Figure S8. Statistics for pair-treatment comparisons of the abundance of free-living nematodes isolated through sucrose centrifugation. • Figure S9. Statistics for pair-treatment comparisons of the abundance of nematophagous fungi isolated through sucrose centrifugation. • Figure S10. Statistics for the relative abundance recorded for the different soil organisms isolated through sucrose centrifugation., Peer reviewed

Peer reviewed

Identification of genomic alterations that influence the immune response within the tumor microenvironment is mandatory in order to identify druggable vulnerabilities. In this article, by interrogating public genomic datasets we describe copy number variations (CNV) present in breast cancer (BC) tumors and corresponding subtypes, associated with different immune populations. We identified regulatory T-cells associated with the Basal-like subtype, and type 2 T-helper cells with HER2 positive and the luminal subtype. Using gene set enrichment analysis (GSEA) for the Type 2 T-helper cells, the most relevant processes included the ERBB2 signaling pathway and the Fibroblast Growth Factor Receptor (FGFR) signaling pathway, and for CD8+ T-cells, cellular response to growth hormone stimulus or the JAK-STAT signaling pathway. Amplification of ERBB2, GRB2, GRB7, and FGF receptor genes strongly correlated with the presence of type 2 T helper cells. Finally, only 8 genes were highly upregulated and present in the cellular membrane: MILR1, ACE, DCSTAMP, SLAMF8, CD160, IL2RA, ICAM2, and SLAMF6. In summary, we described immune populations associated with genomic alterations with different BC subtypes. We observed a clear presence of inhibitory cells, like Tregs or Th2 when specific chromosomic regions were amplified in basal-like or HER2 and luminal groups. Our data support further evaluation of specific therapeutic strategies in specific BC subtypes, like those targeting Tregs in the basal-like subtype., Peer reviewed