BUSCADOR RECOLECTA

- Supplemental Table 1. Clinical, laboratory and genetic features of MCAS (n=21), CM (n=13) and SM (n=180) patients. - Supplemental Table 2. Fluorochrome-conjugated monoclonal antibodies used in this study to characterize CD34+ MC-precursors and CTMC in blood and BM of both MCAS and mastocytosis patients. - Supplemental Table 3. Frequency of cases with circulating tumor mast cells (CTMC) in blood among mastocytosis patients grouped according to the WHO diagnostic category (A) and the GPSM-OS and AdvSM-IPSM prognostic risk models (B). - Supplemental Table 4. Molecular profile for those genes that showed nonsynonymous coding genetic variants in SM patients analyzed in this study. - Supplemental Figure 1. Representative bivariate dot plots of an illustrative example of patients in whom MC-committed CD34+ precursors were either absent (A) or present (B) within gated CD34+ cells in blood. In all panels CD34+ MC precursors are shown in blue, while other CD34+ cells are represented as green dots. MC, mast cell. - Supplemental Figure 2. Correlation between the absolute and relative number of CTMC (X axis) and MC-committed CD34+ HPC (Y axis) in blood of patients diagnosed with MCAS and mastocytosis. - Supplemental Figure 3. Correlation between the absolute number of CTMC in blood (X axis) and other clinical and laboratory features of the disease (Y axis) of patients diagnosed with MCAS and mastocytosis. - Supplemental Figure 4. Correlation between the number of CTMC and the KIT D816Vpositive allele burden in peripheral blood and bone marrow leukocytes from MCAS and mastocytosis patients., Resources available on the publisher's site: https://doi.org/10.1182/blood.2021012694, Peer reviewed

The supporting information: Figure S1. Differentiating CBPf/f neurospheres infected with Cre-recombinase-encoding viruses do not express CBP. Representative images of differentiating secondary neurospheres infected with control (DsRed) or Cre-recombinase-encoding Lentiviruses stained with antibodies specific for CBP and counterstained with DAPI. Scale bars: 100 µm; Figure S2. Sensitivity analysis of snRNA-seq. Violin plots show the distribution of the number of transcripts (left, scored by UMIs) and genes (right) detected per cell for differentiating neurospheres from control (CTRL), CBPf/f (CBP), and p300f/f (P300) neurospheres. UMIs: unique molecular identifiers; Video S1. Time-lapse culture over 2 days of a control differentiating neurosphere infected with control plasmids; Video S2. Time-lapse culture over 2 days of a differentiating CBPf/f neurosphere infected with Cre plasmids; Video S3. Time-lapse culture over 2 days of a differentiating p300f/f neurosphere infected with Cre plasmids; Table S1. Gene markers for individual clusters of snRNA-seq data identified by differential expression testing using the Wilcoxon rank sum test (see methods); ; Table S2. Differential expression analysis between Crebbpf/f + Cre and control neurosphere for cluster 0 and cluster 5, using the Wilcoxon rank sum test (see methods)., Peer reviewed

Extended Data: Figure 1-1 RNA-seq samples generated in this study. Download Figure 1-1, XLSX file. Figure 1-2 Two sheets. a, Downregulated genes in the CBP-ifKO RNA-seq. b, Upregulated genes in the CBP-ifKO RNA-seq (see attached Excel file)., Figure 1: CBP, but not p300, is necessary for the normal expression of neuronal plasticity-related genes. a, Scheme presenting the genetic strategy for the generation of CBP-ifKOs and p300-ifKOs illustrated with the immunostaining of sagittal brain slices of control and ifKOs that demonstrate the loss of CBP or p300 in areas where the Camk2a-creERT2 transgene is expressed. b, IHC analysis demonstrated the loss of CBP in pyramidal and granular cells in the hippocampus of young adult (3- to 6-month-old) ifKO mice. Gene ablation is also appreciable in amygdala and cortex, but not in brain areas where the Cre recombinase is not expressed. Scale bar, 500 µm. c, WB of CBP-ifKO (green bars) and control (WT, black bars) hippocampal protein extracts confirmed the loss of CBP expression in young adult (3- to 6-month-old) CBP-ifKOs using two different antibodies against CBP. No upregulation of p300 was observed. d, RNA-seq was used for the differential expression profiling of CBP-ifKOs and control littermates (Extended Data Figs. 1-1, 1-2, additional details). Heatmap representations of upregulated and downregulated genes in young adult (3- to 6-month-old) CBP-ifKOs (top panel) and p300-ifKOs (bottom panel) referred to their respective control littermates. The creERT2 driver-related genes Esr1 and Arsi are the only genes differentially expressed in p300-ifKOs. e, GO analysis of downregulated genes in CBP-ifKOs. The top 20 GO biological process terms are shown. f, IGV profiles of two representative genes downregulated in CBP-ifKOs. g, qRT-PCR assays confirmed the downregulation of CBP target genes in the hippocampi of CBP-ifKOs. h, Comparison of DEG sets in dKAT3-ifKOs (p-adjusted < 0.05; no fold cutoff) and CBP-ifKOs. i, Overlap between the sets of genes downregulated in dKAT3-ifKOs (p-adjusted < 0.05; no cutoff) and CBP-ifKOs. j, The comparison of differential expression profiles in CBP-ifKO and Crebbp+/− mice revealed a gene dose effect and showed that many DEGs in CBP-ifKOs were also reduced in heterozygous mice, although did not reach the threshold for significance. *p-value < 0.05; **p-value < 0.01; ***p-value < 0.001., Peer reviewed

Supplementary Table 1. Characteristics of samples in Trp53-null mammary tumor cohort., Mouse models of cancer provide a powerful tool for investigating all aspects of cancer biology. In this study, we used our recently developed machine learning approach to identify the cellular morphometric biomarkers (CMB) from digital images of hematoxylin and eosin (H&E) micrographs of orthotopic Trp53-null mammary tumors (n = 154) and to discover the corresponding cellular morphometric subtypes (CMS). Of the two CMS identified, CMS-2 was significantly associated with shorter survival (p = 0.0084). We then evaluated the learned CMB and corresponding CMS model in MMTV-Erbb2 transgenic mouse mammary tumors (n = 53) in which CMS-2 was significantly correlated with the presence of metastasis (p = 0.004). We next evaluated the mouse CMB and CMS model on The Cancer Genome Atlas breast cancer (TCGA-BRCA) cohort (n = 1017). Kaplan–Meier analysis showed significantly shorter overall survival (OS) of CMS-2 patients compared to CMS-1 patients (p = 0.024) and added significant prognostic value in multi-variable analysis of clinical and molecular factors, namely, age, pathological stage, and PAM50 molecular subtype. Thus, application of CMS to digital images of routine workflow H&E preparations can provide unbiased biological stratification to inform patient care., Peer reviewed

Supplementary Table 2. Characteristics of samples in MMTV-Erbb2 mammary tumor cohort., Mouse models of cancer provide a powerful tool for investigating all aspects of cancer biology. In this study, we used our recently developed machine learning approach to identify the cellular morphometric biomarkers (CMB) from digital images of hematoxylin and eosin (H&E) micrographs of orthotopic Trp53-null mammary tumors (n = 154) and to discover the corresponding cellular morphometric subtypes (CMS). Of the two CMS identified, CMS-2 was significantly associated with shorter survival (p = 0.0084). We then evaluated the learned CMB and corresponding CMS model in MMTV-Erbb2 transgenic mouse mammary tumors (n = 53) in which CMS-2 was significantly correlated with the presence of metastasis (p = 0.004). We next evaluated the mouse CMB and CMS model on The Cancer Genome Atlas breast cancer (TCGA-BRCA) cohort (n = 1017). Kaplan–Meier analysis showed significantly shorter overall survival (OS) of CMS-2 patients compared to CMS-1 patients (p = 0.024) and added significant prognostic value in multi-variable analysis of clinical and molecular factors, namely, age, pathological stage, and PAM50 molecular subtype. Thus, application of CMS to digital images of routine workflow H&E preparations can provide unbiased biological stratification to inform patient care., Peer reviewed

4 pages. -- The file includes supplemental information from the main article: Data collection; Types of studies; Management objectives; Management Priority Rankings; Figure S1. Management-related objectives for ecology studies presented in Figure 1. (A) Proportional total of objectives addressed for FAO areas with >20 studies. (B) Proportional total of objectives for the 15 most studied families. FAO areas in (A) and families in (B) are ordered from the highest number of studies (top) to lowest (bottom) and proportions are calculated within each FAO area and family (across rows). Numbers indicate the proportion of each cell. All subplots were based on emerging trends (2010-2019)., A literature review was conducted to obtain all acoustic telemetry (AT) journal articles related to animal tracking published from 1965 to 2019. The following term was searched in Web of ScienceTM(v.5.34): “Acoustic telemetry” OR “Acoustic tracking” OR “Passive telemetry” OR “Acoustic transmit*” OR “Acoustic receiver*” OR “Acoustic tag*” OR “Ultrasonic tracking” OR “Ultrasonic telemetry” OR “Fish track*”. Additionally, the repository for the journal Animal Biotelemetry (est. 2013) was searched for articles that met the above search criteria since this publication, which regularly publishes animal tracking studies, but is not affiliated with Web of ScienceTM. The titles and abstracts of 2621 articles that matched our search term were examined to ensure they fit the intended scope of this review (e.g., hydroacoustics, radio or satellite telemetry, and telemetered physiology were not included unless acoustic telemetry was also used in the study). A total of 1834 acoustic telemetry articles were included in the review. All accessible journal articles were downloaded and stored in an online repository. If articles could not be obtained due to restricted access, the corresponding authors of that study were contacted to request a copy. We acknowledge that not all AT studies were accessed because Web of ScienceTM does not incorporate all journals in existence (e.g., regional journals); still we are confident the total number of articles accessed is representative of AT research conducted since its inception. We use the term AT to refer specifically to the measurement of spatial data only although it otherwise may also encompass physiological data transmitted via sound (i.e., studies that only used AT to record physiological data were not included)., Peer reviewed

Extended Data: Figure 2-1. Extended information on statistical analysis of behavioral experiments in Figure 2. XLSX file., The loss of CBP, but not p300, in forebrain principal neurons causes cognitive deficits. a, Scheme indicating the age at the time of TMX administration to trigger gene ablation, the interval until behavioral testing, and the battery of behavioral tasks (Extended Data Fig. 2-1, additional detail). Experiments were performed in young adult (3- to 6-month-old) mice. b, Behavior in an open field evaluated as total distance traveled. c, No difference in time spent in the center, closed and open arms in the elevated plus maze test. d, Latency to fall in the RotaRod test. e, Percentage of immobility time in the Porsolt forced swimming task. f, Number of balls buried in the marble-burying task. g, Discrimination index during training and testing in the novel object recognition memory task. h, The sociability index reflects the preference of the animal for interacting with another mouse rather than an object, whereas the social recognition index reflects the preference of the animal for interacting with an unfamiliar mouse in the social recognition memory task. i, Graph presents the daily average latency to find the platform in the MWM task. V, Visible platform; H, hidden platform. j, Performance in the contextual and cued fear-conditioning tasks measured as freezing 24 h after training. k, l, Normal behavior of p300-ifKOs in an open field, no differences in overall activity (a) or anxiety measured as time near the wall (b). m, Normal behavior of p300-ifKOs in the RotaRod. n, Normal behavior of p300-ifKOs in the Porsolt forced swimming task. o, Normal behavior of p300-ifKOs in marble-burying task. p, Normal performance of p300-ifKOs in the novel object recognition task. q, Normal performance of p300-ifKOs in the sociability and social recognition task. r, p300-ifKOs show no differences in learning and memory in the MWM. The panel shows only the latency curve, but similarly no difference was observed in different parameters during the visible and hidden platform tasks and the probe trials. s, Normal performance of p300-ifKOs in the fear conditioning task. ns: non significant; *p-value < 0.05; **0.001 < p-value < 0.01; ***p-value < 0.001., Peer reviewed

Extended information on statistical analysis of behavioral experiments in Figure 3. XLSX file., Aging worsens the neurologic deficits in CBP-ifKO mice. a, Average weight in young adult and aged mice of both sexes. b, qRT-PCR assays show the dysregulation of LRGs in aged (15- to 20-month-old) CBP-ifKOs, as previously shown in younger animals (compare Fig. 1g, results). c, qRT-PCR assays show that several IEGs were not significantly downregulated at the basal state (Fig. 6a, Extended Data Fig. 1-2). d, Representative coronal MR brain images of aged control and CBP-ifKO mice (top) and graph showing the comparison of hippocampal areas between both genotypes (bottom). e, Immunostaining against GFAP and NeuN in the dentate gyrus (DG) and CA1 area of 15- to 20-month-old CBP-ifKOs and control littermates, revealed a normal histology and cellular composition, indicating no apparent gliosis or neurodegeneration in CBP-ifKOs. Scale bars, 100 µm. f, qRT-PCR assay shows comparable levels of Gfap transcripts in 15- to 20-month-old CBP-ifKOs and control littermates, consistent with the absence of active gliosis in aged CBP-ifKOs. g, Gait analysis in young adult and aged control and CBP-ifKO mice. h, MWM escape latency graph in aged CBP-ifKOs and control littermates (Extended Data Fig. 3-1, additional detail). i, Memory in the contextual FC (CFC) and cued FC tasks measured as freezing 24 h after training. j, Fear conditioning and extinction in young adult (left) and aged (right) CBP-ifKOs and control littermates. ns: non significant; *p-value < 0.05; **0.001 < p-value < 0.01; ***p-value < 0.001., Peer reviewed

Extended Data: ChIP-seq samples generated in this study. Figure 4, XLSX file., H2B lysine acetylation deficits. a, WB against different core histone acetylations in hippocampal protein extract of CBP-ifKOs and control littermates (n = 4). The quantification of the signal is shown on the right. *p-value < 0.05; **0.001 < p-value < 0.01; ***p-value < 0.001. A significant decrease in H2A-ac, H2B-ac, and H3K27ac was observed. H3K9,14ac and H4-ac were unaffected by the loss of CBP. b, ChIP-seq was used for the analysis of differential histone acetylation in CBP-ifKOs and control littermates (Extended Data Fig. 4-1, additional detail). Metagene ChIP-seq signal for H2B-ac in the sets of no-DEGs and downregulated genes in CBP-ifKOs. c, IHC for acetylation of H2B in CBP-ifKOs and control littermates. The field shows the nucleus of an interneuron in which creERT2 is not expressed, and therefore there was no loss of CBP immunoreactivity. d, ChIP-qPCR assays on chromatin extracts confirm a global decrease in H2Bac in CBP-ifKOs in all the assessed regions, including intergenic chromatin. e, WB against acetylation of different lysine residues in the N-tail of histone H2B. All the acetylated residues investigated were significantly decreased. The quantification of the signal referred to total H2B is shown in the right bar graph. f, WB against other post-translational modifications of the tail of histone H2B in hippocampal protein extract of CBP-ifKO and control littermates. The quantification of the signal is shown in the bar graph. g, WB against the acetylated form of different core histones (top) and the acetylation of specific lysine residues in the H2B N-tail (bottom) in hippocampal protein extracts of Crebbp+/− and wild-type littermates. The quantification of the signal is shown on the right bar graphs. h, ChIP-seq density graph for H2Bac in Crebbp+/− and wild-type littermates., Peer reviewed

29 pages. -- Content: The tracking process of adsorption of CdSe species on the SnSe surface; XRD patterns of SnSe and SnSe-x%CdSe nanocomposites; SEM images of SnSe-3%CdSe nanocomposites at the different stages; SEM images of annealed SnSe-x%CdSe nanopowders; Grain size evolution study for bare SnSe and SnSe-3%CdSe; SEM images at different magnifications of SnSe and SnSe-3%CdSe pellets; EBSD microstructure of SnSe and SnSe-3%CdSe pellets; XRD pattern of recrystallized CdSe; SEM images of annealed SnSe powder at 350°C; EDS elemental mapping for SnSe-3%CdSe; Surface treatment; Thermogravimetric analyses; SnSe-CdSe phase diagram; High-temperature XRD analyses of SnSe and SnSe-3%CdSe; Lattice parameters and unit cell volume of SnSe-3%PbS pellet; TE properties of SnSe-CdSe samples with different content of CdSe; Band structure changes in SnSe induced by the CdSe NPs; TE properties of SnSe and SnSe-3%CdSe measured in parallel direction; Heat capacity Cp of SnSe-3%CdSe; Percentage variations in the TE properties of SnSe-x%CdSe compared to SnSe; Lattice thermal conductivity (κL) calculation; Literature comparison; TEM images of SnSe-3%CdSe sample; Material stability and repeatability; Cylindrical pellet cutting; Theoretical zT prediction; Pellet density and composition; References., SnSe has emerged as one of the most promising materials for thermoelectric energy conversion due to its extraordinary performance in its single-crystal form and its low-cost constituent elements. However, to achieve an economic impact, the polycrystalline counterpart needs to replicate the performance of the single crystal. Herein, we optimize the thermoelectric performance of polycrystalline SnSe produced by consolidating solution-processed and surface-engineered SnSe particles. In particular, the SnSe particles are coated with CdSe molecular complexes that crystallize during the sintering process, forming CdSe nanoparticles. The presence of CdSe nanoparticles inhibits SnSe grain growth during the consolidation step due to Zener pinning, yielding a material with a high density of grain boundaries. Moreover, the resulting SnSe–CdSe nanocomposites present a large number of defects at different length scales, which significantly reduce the thermal conductivity. The produced SnSe–CdSe nanocomposites exhibit thermoelectric figures of merit up to 2.2 at 786 K, which is among the highest reported for solution-processed SnSe., Peer reviewed