Resultados de investigación

Supplemental data and annexes related to the PhD thesis, Peer reviewed

Wannier-bands-a1.08-wr0.7.dat is a list of all the tight-binding parameters for an 8 orbital wannier model for twisted bilayer graphene (TBG). We have started from the bands corresponding to the continuum model for TBG with rotation angle 1.08º, with vF =0.87×10^6 m/s, interlayer tunneling ratio between the AA and AB regions w0/w1 = 0.7, and AB tunneling amplitude w1= 110 meV. The Wannierization has been done with the code in https://github.com/stcarr/kp_tblg. read-data-and-write-hamiltonian.f90 shows how to read the data and build the hamiltonian., Peer reviewed

These data were used in the interpretable machine learning analysis in https://github.com/IndiraOcampo/Growth_LSS_model_selection_Lime.git and https://link.aps.org/doi/10.1103/PhysRevLett.134.041002, The current repository contains: Simulated fσ8 data coming from both models (different sizes of datasets that go from 50 to 5000 realizations) for the Neural Networks analysis. Data coming from an analysis of 50 data example instances (25 belonging to each model) using Lime, to explore the parameter neighbourhood influence over the output., [Aim] Train a Neural Networks (NNs) arquitecture on growth rate fσ8 data to perform model selection between two models: HS and ΛCDM. Consequently, extract information about the influence of each individual fσ8 data point (feature) over the final NNs output., Peer reviewed

The EU-TRHeaDS Conjoint Dataset is a set of 20,920 observations that was gathered, organised and edited in the framework of the research project ‘EU Citizens’ Transnational Rights and Health-related Deservingness at the Street-level - EU-TRHeaDS’ (PI: Roberta Perna), which has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101022244. One of EU-TRHeaDS' aims is to investigate which criteria ‘activate’ the category of healthcare (un)deservingness in the context of intra-EU migration among the general public in two EU Member States (Belgium and Spain), and the extent to which these preferences turn into patterns of systematic penalisation towards specific EU nationality groups. It does so by carrying out a conjoint experimental study nested in an online survey run in parallel in Belgium and Spain with a representative sample of the population on the dimensions of gender, age (18 years old), level of education achieved and geographical region of residence. During the four tasks of the experiment, respondents were asked who they would prioritise to access publicly-funded healthcare out of two fictitious patients who differed in four attributes, all randomly assigned: 1) nationality; 2) migration trajectory; 3) responsibility over ill health, and 4) employment status. As a subset of a larger survey on intra-EU mobility and access to healthcare rights, the EU-TRHeaDS Conjoint Dataset specifically includes the socio-demographic variables of the probabilistic sample in each country, the variables of the conjoint experiment and information about the time spent by respondents in completing each of the four experimental tasks. For detailed information and the codebook, see the document 'EU-TRHeaDS_conjoint_Description&Codebook', European Commission, EU Citizens’ Transnational Rights and Health-related Deservingness at the Street-level 101022244, Peer reviewed

Supplementary Material 1: Fig. 1. A, B. In silico data (from GEPIA2 in A, and Firebrowse in B) on TGFA expression in various tumors, compared to normal tissue. The arrow indicates the pancreatic normal and tumoral tissues, which are also marked by a blue rectangle. In red, the tissues in which TGFA expression is significatively higher in the tumoral vs. normal samples. Abbreviations of the tissues detailed in the respective web pages. C. In silico data (from UCSC-Xena) on TGFA expression in pancreatic tumors (primary site and metastatic), compared to normal tissue. D. Ranking of TGFA expression in different tumors, as obtained from the UCSC-Xena online tool. A blue rectangle marks pancreatic tumors. E. Ranking of TGFA expression in different tumors, as obtained from the cBioPortal online tool. The arrow marks pancreatic tumors., Predoctoral contract Cancer Research Foundation of the Salamanca University (FICUS) Instituto de Salud Carlos III through a Miguel Servet program Ministry of Economy and Competitiveness of Spain Instituto de Salud Carlos III through CIBERONC Junta de Castilla y León ALMOM ACMUMA UCCTA CRIS Cancer Foundation and the Regional Development Funding Program (FEDER) “A way to make Europe”, Peer reviewed

Peer reviewed

Supplementary Material 2: Fig. 2. Representative diagram of proTGFα domains, indicating the molecular weight corresponding to different forms, the amino acid sequence, as well as the different antibodies generated against this protein (antibody name, species, type, and source)., Predoctoral contract Cancer Research Foundation of the Salamanca University (FICUS) Instituto de Salud Carlos III through a Miguel Servet program Ministry of Economy and Competitiveness of Spain Instituto de Salud Carlos III through CIBERONC Junta de Castilla y León ALMOM ACMUMA UCCTA CRIS Cancer Foundation and the Regional Development Funding Program (FEDER) “A way to make Europe”, Peer reviewed

Supplementary Material 3: Fig. 3. Generation of the monoclonal antibodies. After the initial immunization (1), three of the injected mice raised antibodies able to recognize proTGFα when the culture supernatants were tested in immunoprecipitation experiments (2). One of these mice, #4, gave the best results (2) and was then selected to carry out fusions and selection of oligoclonal populations (3). ELISA of mature TGFα used as the screening strategy for the testing culture supernatants from 85 different oligoclonal populations (4), and then positive oligoclonal cultures were used to test them in immunoprecipitation experiments of native proTGFα (4) using extracts of NP29 cells. These studies led to the selection of eight of those populations, which upon a second round of expansion and single cell cloning (5) allowed expansion of four different subclones (6). After single cell cloning and clonal expansion, two monoclonals (5F1-R3-3G11 and 16B10-R2-2F1) were selected for further characterization (7)., Peer reviewed

This dataset can be combined with other datasets to enable a comprehensive view of the vineyards: Vélez S, Ariza-Sentís M, Valente J. EscaYard: Precision viticulture multimodal dataset of vineyards affected by Esca disease consisting of geotagged smartphone images, phytosanitary status, UAV 3D point clouds and Orthomosaics. Data in Brief. 2024 Jun 1;54:110497. https://doi.org/10.1016/j.dib.2024.110497 Ariza-Sentís M, Wang K, Cao Z, Vélez S, Valente J. GrapeMOTS: UAV vineyard dataset with MOTS grape bunch annotations recorded from multiple perspectives for enhanced object detection and tracking. Data in Brief. 2024 Jun 1;54:110432. https://doi.org/10.1016/j.dib.2024.110432, El dataset se puede consultar y descargar en el siguiente enlace https://doi.org/10.5281/zenodo.11644288, The dataset provides a UAV-based monocular visual SLAM data, designed to evaluate the potential of using monocular visual SLAM in vineyards. It includes videos in ".mp4" format collected by UAV, and "xlsx" tables which include latitude, longitude, height, speed in x, y and z, comjpass, pitch, roll. The ".xlsx" tables were measured by RTK and can be used as ground truth of UAV trajectory and pose., Peer reviewed

Supplementary Material 4: Fig. 4. A. Stain-free gels (top) were used to evaluate the binding of anti-TGFα antibodies to the cytotoxic agents DM1, MMAF, and DXd. A change in the migration of the antibody in the gel was observed after coupling. Bottom blots: one hundred nanograms of each ADC and the unconjugated mAbs were loaded in 12% SDS-PAGE gels. The cytotoxic payload bound to the light and heavy chains of the ADCs was analyzed by Western blot using anti-DM1, anti-MMAF, and anti-DXd antibodies, as shown below. B. Detection of DM1 bound to 5F1 or 16B10 mAbs, compared to T-DM1. Equal amounts of the nude or coupled antibodies were used. Blots were analyzed using anti-DM1 antibodies. C. Restoration of 16B10-MMAF sensitivity in a TGFA-KO clone. The parental cell line IMIM-PC2, the CRISPR/Cas9 clone #25 and the TGFA reconstituted clone #13 were seeded in 6-well plates and treated with 2.5 nM of the ADCs (colored boxes). After 5 days, the effect on cell proliferation was assessed by cell counting. The results obtained are represented as the mean ± SD of the triplicates of an experiment that were repeated three times. **P < 0.01, calculated by Mann-Whitney U test., Predoctoral contract Cancer Research Foundation of the Salamanca University (FICUS) Instituto de Salud Carlos III through a Miguel Servet program Ministry of Economy and Competitiveness of Spain Instituto de Salud Carlos III through CIBERONC Junta de Castilla y León ALMOM ACMUMA UCCTA CRIS Cancer Foundation and the Regional Development Funding Program (FEDER) “A way to make Europe”, Peer reviewed