BUSCADOR RECOLECTA

Supplementary material to DESI's publication "Target Selection for the DESI Peculiar Velocity Survey" to comply with the data management plan. Contains data for: Figure 1: color-color diagram, comparing truth catalogues to data from the survey. Data contains all observational colors to construct the heatmap and the colors of the two truth catalogues shown in the left and right panel respectively. Figure 2: Sersic index for different morphological types. Data contains relative number counts to reproduce the histogram. Figure 3 consists of images, hence not included here. Figure 4: quality metrics for ETG classification. Data includes the various metrics as a function of elliptical probability. Figure 5: Success rate for different magnitudes. Data contains all the plotted data points as a function of magnitude. Figure 6: pPXF example for ETG: Data contains the plotted spectrum and model. Figure 7: quality metrics for LTG classification. Data includes the various metrics as a function of spiral probability. Figure 8: example for TF measurements: Data contains the two spectra shown in the figure. Figure 9: example of rotation curves from MaNGA: Data contains the individual measurements, fit, and shown example. Figures 10 + 11: comparison between the observed rotational velocities and calculated one. Data contains DESI and MaNGA measurements as well as expected values from the fit. Figure 12: Sky distribution of PV surveys. Data contains the coordinates of the targets of all the surveys shown. Figure 13: Redshift distribution of different PV surveys and our targets. Data contains the number counts to reproduce the histogram. Figure 14: Forecast for f-sigma8 constraints. Data contains the predictions from different theories and the forecast for DESI (PV and/or BGS). Figure 15: Forecasts for measurements of the velocity power spectrum. Data contains the forecast for the DESI., Australian Laureate Fellowships - Grant ID: FL180100168 FL180100168 Australian Research Council, Peer reviewed

Gene level data for Venn Diagram figure of Cell line screening data, DLBCL are aggressive, rapidly proliferating tumors that critically depend on the ATF4-mediated integrated stress response (ISR) to adapt to stress caused by uncontrolled growth, such as hypoxia, amino acid deprivation, and accumulation of misfolded proteins. Here, we show that ISR hyperactivation is a targetable liability in DLBCL. We describe a novel class of compounds represented by BTM-3528 and BTM-3566, which activate the ISR through the mitochondrial protease OMA1. Treatment of tumor cells with compound leads to OMA1-dependent cleavage of DELE1 and OPA1, mitochondrial fragmentation, activation of the eIF2α-kinase HRI, cell growth arrest, and apoptosis. Activation of OMA1 by BTM-3528 and BTM-3566 is mechanistically distinct from inhibitors of mitochondrial electron transport, as the compounds induce OMA1 activity in the absence of acute changes in respiration. We further identify the mitochondrial protein FAM210B as a negative regulator of BTM-3528 and BTM-3566 activity. Overexpression of FAM210B prevents both OMA1 activation and apoptosis. Notably, FAM210B expression is nearly absent in healthy germinal center B-lymphocytes and in derived B-cell malignancies, revealing a fundamental molecular vulnerability which is targeted by BTM compounds. Both compounds induce rapid apoptosis across diverse DLBCL lines derived from activated B-cell, germinal center B-cell, and MYC-rearranged lymphomas. Once-daily oral dosing of BTM-3566 resulted in complete regression of xenografted human DLBCL SU-DHL-10 cells and complete regression in 6 of 9 DLBCL patient-derived xenografts. BTM-3566 represents a first-of-its kind approach of selectively hyperactivating the mitochondrial ISR for treating DLBCL., Peer reviewed

This appendix contains additional materials that are referenced in the main body of this paper., Peer reviewed

Table 2: List of UV fluxes for the sample of AGN and references. Table 3: Chemical abundances estimated from HCm-UV, using the grid of AGN models for alpha(OX) = -1.2 and the stopping criteria of 98% of free electrons. Dust-free or grain-included models are selected based on their C3C4 value., We present an adapted version of the code HII-CHI-mistry-UV (Perez-Montero & Amorin 2017) to derive chemical abundances from emission lines in the ultraviolet, for use in narrow line regions (NLR) of Active Galactic Nuclei (AGN). We evaluate different ultraviolet emission line ratios and how different assumptions about the models, including the presence of dust grains, the shape of the incident spectral energy distribution, or the thickness of the gas envelope around the central source, may affect the final estimates as a function of the set of emission lines used. We compare our results with other published recipes for deriving abundances using the same emission lines and show that deriving the carbon-to-oxygen abundance ratio using C iii] λ 1909 Å and O iii] λ 1665 Å emission lines is a robust indicator of the metal content in AGN that is nearly independent of model assumptions, similar to the case of star-forming regions. Moreover, we show that a prior determination of C/O allows for a much more precise determination of the total oxygen abundance using carbon UV lines, as op- posed to assuming an arbitrary relationship between O/H and C/O, which can lead to non-negligible discrepancies., This work has been partly funded by projects Estallidos7 PID2019-107408GB-C44 (Spanish Ministerio de Ciencia e Innovacion), and the Junta de Andalucia for grant EXC/2011 FQM-7058. This work has been also supported by the State Agency for Research of the Spanish MCIU 'Centro de Excelencia Severo Ochoa' Program under grant SEV-2017-0709. EPM also acknowledges the assistance from his guide dog Rocko without whose daily help this work would have been much more difficult. RA acknowledges financial support from ANID Fondecyt Regular 1202007. RGB acknowledges financial support from grant PID2019-109067-GB100., Peer reviewed

Spearmans Rank correlation of gene expression with response to compound in the cell line screening data., DLBCL are aggressive, rapidly proliferating tumors that critically depend on the ATF4-mediated integrated stress response (ISR) to adapt to stress caused by uncontrolled growth, such as hypoxia, amino acid deprivation, and accumulation of misfolded proteins. Here, we show that ISR hyperactivation is a targetable liability in DLBCL. We describe a novel class of compounds represented by BTM-3528 and BTM-3566, which activate the ISR through the mitochondrial protease OMA1. Treatment of tumor cells with compound leads to OMA1-dependent cleavage of DELE1 and OPA1, mitochondrial fragmentation, activation of the eIF2α-kinase HRI, cell growth arrest, and apoptosis. Activation of OMA1 by BTM-3528 and BTM-3566 is mechanistically distinct from inhibitors of mitochondrial electron transport, as the compounds induce OMA1 activity in the absence of acute changes in respiration. We further identify the mitochondrial protein FAM210B as a negative regulator of BTM-3528 and BTM-3566 activity. Overexpression of FAM210B prevents both OMA1 activation and apoptosis. Notably, FAM210B expression is nearly absent in healthy germinal center B-lymphocytes and in derived B-cell malignancies, revealing a fundamental molecular vulnerability which is targeted by BTM compounds. Both compounds induce rapid apoptosis across diverse DLBCL lines derived from activated B-cell, germinal center B-cell, and MYC-rearranged lymphomas. Once-daily oral dosing of BTM-3566 resulted in complete regression of xenografted human DLBCL SU-DHL-10 cells and complete regression in 6 of 9 DLBCL patient-derived xenografts. BTM-3566 represents a first-of-its kind approach of selectively hyperactivating the mitochondrial ISR for treating DLBCL., Peer reviewed

Crystallographic data for the structural analysis have been deposited with the Cambridge Crystallographic data Center, CCDC 1451708 for the complex. Copies of the data can be obtained free of charge at www.ccdc.cam.ac.uk/conts/retrieving.html., Peer reviewed

The basement membrane (BM) is a specialized extracellular matrix (ECM), which underlies or encases developing tissues. Mechanical properties of encasing BMs have been shown to profoundly influence the shaping of associated tissues. Here, we use the migration of the border cells (BCs) of the Drosophila egg chamber to unravel a new role of encasing BMs in cell migration. BCs move between a group of cells, the nurse cells (NCs), that are enclosed by a monolayer of follicle cells (FCs), which is, in turn, surrounded by a BM, the follicle BM. We show that increasing or reducing the stiffness of the follicle BM, by altering laminins or type IV collagen levels, conversely affects BC migration speed and alters migration mode and dynamics. Follicle BM stiffness also controls pairwise NC and FC cortical tension. We propose that constraints imposed by the follicle BM influence NC and FC cortical tension, which, in turn, regulate BC migration. Encasing BMs emerge as key players in the regulation of collective cell migration during morphogenesis., Peer reviewed

-1H and 13C{1H} NMR spectra of L2, 3, and 7; 1H and 31P{1H} NMR spectra of the outcome of the reaction of 1 with 3; images and metric parameters of the DFT-optimized structures of 3, 4, 6, and 7; results of catalytic experiments; crystal, measurement, and refinement data for the compounds studied by XRD (PDF). -Atomic coordinates for the calculated structures (XYZ)., Peer reviewed

1 file, Supporting information for article https://doi.org/10.1021/acsomega.3c10052, Peer reviewed

Supplementary PIC simulation movies for the MNRAS article titled ''3D PIC Simulations for Relativistic Jets with a Toroidal Magnetic Field'', by Meli, Nishikawa, Kohn, et al, With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2021-001131-S)., Peer reviewed