Influencia de aplicación de nitrógeno suplementario y atrazina sobre cianobacterias edáficas en suelos con siembra directa

El herbicida Atrazina y el suplemento de nitrógeno en la siembra directa son prácticas habituales; sin embargo el conocimiento específico que existe sobre la relación de este manejo con las cianofíceas edáficas en Argentina es escaso. Es de esperar alteraciones en la composición de las comunidades de cianobacterias del suelo, como resultado del estrés tóxico, ejemplo el propanil inhibe el crecimiento de Nostoc muscorum y N. calcicola. El objetivo del trabajo fue caracterizar las cianobacterias edáficas en una parcela experimental de Zea mais L. bajo siembra directa, considerando el aporte de nitrógeno y de atrazina a dosis agronómica. Se obtuvieron muestras de suelo provenientes de 4 tratamientos: sin atrazina y sin nitrógeno, con atrazina, con nitrógeno y atrazina y con nitrógeno, durante la campaña agrícola 2012-2013 en la provincia de Córdoba.Fil: Murialdo, Raquel. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Fernández Belmonte, Cecilia. Universidad Nacional de San Luis. Facultad de Ingeniería y Ciencias Agropecuarias; Argentina.Fil: Rampoldi, Ariel. Instituto Nacional de Tecnología Agropecuaria; Argentina.Fil: Candela, Raúl. Instituto Nacional de Tecnología Agropecuaria; Argentina.Fil: Pesci, Hugo. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Zitnik, Daniel. Universidad Nacional de San Luis. Facultad de Ingeniería y Ciencias Agropecuarias; Argentina.Otras Ingeniería del Medio Ambient

CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia

Decades of research have not yet fully explained the mechanisms of epithelial self-organization and 3D packing. Single-cell analysis of large 3D epithelial libraries is crucial for understanding the assembly and function of whole tissues. Combining 3D epithelial imaging with advanced deep-learning segmentation methods is essential for enabling this high-content analysis. We introduce CartoCell, a deep-learning-based pipeline that uses small datasets to generate accurate labels for hundreds of whole 3D epithelial cysts. Our method detects the realistic morphology of epithelial cells and their contacts in the 3D structure of the tissue. CartoCell enables the quantification of geometric and packing features at the cellular level. Our single-cell cartography approach then maps the distribution of these features on 2D plots and 3D surface maps, revealing cell morphology patterns in epithelial cysts. Additionally, we show that CartoCell can be adapted to other types of epithelial tissues

CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia

Decades of research have not yet fully explained the mechanisms of epithelial self-organization and 3D packing. Single-cell analysis of large 3D epithelial libraries is crucial for understanding the assembly and function of whole tissues. Combining 3D epithelial imaging with advanced deep-learning segmentation methods is essential for enabling this high-content analysis. We introduce CartoCell, a deep-learning-based pipeline that uses small datasets to generate accurate labels for hundreds of whole 3D epithelial cysts. Our method detects the realistic morphology of epithelial cells and their contacts in the 3D structure of the tissue. CartoCell enables the quantification of geometric and packing features at the cellular level. Our single-cell cartography approach then maps the distribution of these features on 2D plots and 3D surface maps, revealing cell morphology patterns in epithelial cysts. Additionally, we show that CartoCell can be adapted to other types of epithelial tissues.This work is supported by the project PID2019-103900GB-I00 funded by MCIN/AEI /10.13039/501100011033 and Programa Operativo FEDER Andalucía 2014–2020 (US-1380953) to L.M.E. Work by L.M.E. and J.A.A.-S.R. has been funded by the Junta de Andalucía (Consejerı´a de economı´a, conocimiento, empresas y Universidad) grant PY18-631 co-funded by FEDER funds. A.T. has been funded by a ‘‘Contrato predoctoral PIF’’ from Universidad de Sevilla. C.G.-V. has been funded by a ‘‘Contrato predoctoral para la formacio´ n de doctores’’ BES-2017-082306. G.B. was supported by a Comunidad de Madrid contract (CAM) and by an FPI grant from MINECO (BES-2022-077789). F.M.-B. was supported by MICINN (PID2020-120367GB-I00) and Fundacio´ n Ramo´ n Areces (CIVP18A3904). P.G.-G. has been funded by Margarita Salas Fellowship – NextGenerationEU. C.H.F.-E. has been funded by Marı´a Zambrano Fellowship – NextGenerationEU. I.A.-C. would like to acknowledge that his work has been partially supported by the University of the Basque Country UPV/EHU grant GIU19/027 and by grant PID2021-126701OB-I00, funded by MCIN/AEI/10.13039/501100011033 and by ‘‘ERDF A way of making Europe." L.M.E. also wants to thank PIE-202120E047 – Conexiones-Life network for networking and input

CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia

Decades of research have not yet fully explained the mechanisms of epithelial self-organization and 3D packing. Single-cell analysis of large 3D epithelial libraries is crucial for understanding the assembly and function of whole tissues. Combining 3D epithelial imaging with advanced deep-learning segmentation methods is essential for enabling this high-content analysis. We introduce CartoCell, a deep-learning-based pipeline that uses small datasets to generate accurate labels for hundreds of whole 3D epithelial cysts. Our method detects the realistic morphology of epithelial cells and their contacts in the 3D structure of the tissue. CartoCell enables the quantification of geometric and packing features at the cellular level. Our single-cell cartography approach then maps the distribution of these features on 2D plots and 3D surface maps, revealing cell morphology patterns in epithelial cysts. Additionally, we show that CartoCell can be adapted to other types of epithelial tissues.Ministerio de Ciencia e Innovación PID2019-103900GB-I00, PID2020-120367GB-I00, PID2021-126701OB-I00Junta de Andalucía US-1380953, PY18-631Ministerio de Economía y Competitividad BES-2022-07778

Platelet Derived Growth Factor-AA Correlates With Muscle Function Tests and Quantitative Muscle Magnetic Resonance in Dystrophinopathies

Introduction: Duchenne (DMD) and Becker (BMD) muscular dystrophy are X-linked muscular disorders produced by mutations in the DMD gene which encodes the protein dystrophin. Both diseases are characterized by progressive involvement of skeletal, cardiac, and respiratory muscles. As new treatment strategies become available, reliable biomarkers and outcome measures that can monitor disease progression are needed for clinical trials. Methods: We collected clinical and functional data and blood samples from 19 DMD patients, 13 BMD patients, and 66 healthy controls (8 pediatric and 58 adult controls), and blood samples from 15 patients with dysferlinopathy (DYSF) and studied the serum concentration of 4 growth factors involved in the process of muscle fibrosis. We correlated the serum concentration of these growth factors with several muscle function tests, spirometry results and fat fraction identified by quantitative Dixon muscle MRI. Results: We found significant differences in the serum concentration of Platelet Derived Growth Factor-AA (PDGF-AA) between DMD patients and pediatric controls, in Connective Tissue Growth Factor (CTGF) between BMD patients and adult controls, and in and Transforming Growth Factor- β1 (TGF-β1) between BMD and DYSF patients. PDGF-AA showed a good correlation with several muscle function tests for both DMD and BMD patients and with thigh fat fraction in BMD patients. Moreover, PDGF-AA levels were increased in muscle biopsies of patients with DMD and BMD as was demonstrated by immunohistochemistry and Real-Time PCR studies. Conclusion: Our study suggests that PDGF-AA should be further investigated in a larger cohort of DMD and BMD patients because it might be a good biomarker candidate to monitor the progression of these diseases

Supplemental information CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia

Document S1. Figures S1–S6 Table S1. Extracted features from 353 curated cysts (104 cysts at 4 days, 103 cysts at 7 days, 116 cysts at 10 days), related to Figure 2 Table S2. Hyperparameter search space for our proposed 3D ResU-Net, related to Figure 1 Table S3. Performance evaluation of our pipeline (CartoCell) on images of different epithelial tissues and comparison with other state-of-the-art segmentation methods, using the evaluation metrics described in STAR Methods, related to Figure 1 Table S4. Relative error between features extracted using automatically segmented cysts and manually curated cysts (STAR Methods), related to Figure 1 Table S5. Cyst morphology and scutoid location statistics, related to Figure 2 Table S6. Comparison of morphology and packing features of normoxic and hypoxic MDCK cysts, related to Figure 2 Table S7. Classification of the developmental stages of Drosophila egg chambers employed, related to Figure 3 Document S2. Article plus supplemental informationPeer reviewe

Platelet Derived Growth Factor-AA Correlates With Muscle Function Tests and Quantitative Muscle Magnetic Resonance in Dystrophinopathies

Introduction: Duchenne (DMD) and Becker (BMD) muscular dystrophy are X-linked muscular disorders produced by mutations in the DMD gene which encodes the protein dystrophin. Both diseases are characterized by progressive involvement of skeletal, cardiac, and respiratory muscles. As new treatment strategies become available, reliable biomarkers and outcome measures that can monitor disease progression are needed for clinical trials.Methods: We collected clinical and functional data and blood samples from 19 DMD patients, 13 BMD patients, and 66 healthy controls (8 pediatric and 58 adult controls), and blood samples from 15 patients with dysferlinopathy (DYSF) and studied the serum concentration of 4 growth factors involved in the process of muscle fibrosis. We correlated the serum concentration of these growth factors with several muscle function tests, spirometry results and fat fraction identified by quantitative Dixon muscle MRI.Results: We found significant differences in the serum concentration of Platelet Derived Growth Factor-AA (PDGF-AA) between DMD patients and pediatric controls, in Connective Tissue Growth Factor (CTGF) between BMD patients and adult controls, and in and Transforming Growth Factor- β1 (TGF-β1) between BMD and DYSF patients. PDGF-AA showed a good correlation with several muscle function tests for both DMD and BMD patients and with thigh fat fraction in BMD patients. Moreover, PDGF-AA levels were increased in muscle biopsies of patients with DMD and BMD as was demonstrated by immunohistochemistry and Real-Time PCR studies.Conclusion: Our study suggests that PDGF-AA should be further investigated in a larger cohort of DMD and BMD patients because it might be a good biomarker candidate to monitor the progression of these diseases

Loss of 5hmC identifies a new type of aberrant DNA hypermethylation in glioma

Aberrant DNA hypermethylation is a hallmark of cancer although the underlying molecular mechanisms are still poorly understood. To study the possible role of 5-hydroxymethylcytosine (5hmC) in this process we analyzed the global and locus-specific genome-wide levels of 5hmC and 5-methylcytosine (5mC) in human primary samples from 12 non-tumoral brains and 53 gliomas. We found that the levels of 5hmC identified in non-tumoral samples were significantly reduced in gliomas. Strikingly, hypo-hydroxymethylation at 4627 (9.3%) CpG sites was associated with aberrant DNA hypermethylation and was strongly enriched in CpG island shores. The DNA regions containing these CpG sites were enriched in H3K4me2 and presented a different genuine chromatin signature to that characteristic of the genes classically aberrantly hypermethylated in cancer. As this 5mC gain is inversely correlated with loss of 5hmC and has not been identified with classical sodium bisulfite-based technologies, we conclude that our data identifies a novel 5hmC-dependent type of aberrant DNA hypermethylation in glioma.This work has been financially supported by: the Plan Nacional de I+D+I 2013–2016/FEDER (PI15/00892 to M.F.F. and A.F.F.; RTC-2015-3393-1 to A.F.F.); the ISCIII-Subdirección General de Evaluación y Fomento de la Investigación, and the Plan Nacional de I+D+I 2008–2011/FEDER (CP11/00131 to A.F.F.); IUOPA (to G.F.B. and M.S); the Fundación Científica de la AECC (to R.G.U.); the Fundación Ramón Areces (to M.F.F); FICYT (to E.G.T., M.G.G. and A.C.); and the Asturias Regional Government (GRUPIN14-052 to M.F.F.). Work in P.M. laboratory is supported by the European Research Council (CoG-2014-646903), the Spanish Ministry of Economy-Competitiveness (SAF-SAF2013-43065), the Obra Social La Caixa-Fundaciò Josep Carreras, and the Generalitat de Catalunya. P.M. is an investigator in the Spanish Cell Therapy cooperative network (TERCEL). The IUOPA is supported by the Obra Social Cajastur-Liberbank, Spain.Peer reviewe

Algal composition and water quality bioindicators. Case study: San Roque Reservoir, Córdoba. Argentina

El embalse San Roque se encuentra a 11 km de la ciudad de Carlos Paz y a 40 de la ciudad de Córdoba y una de las funciones es brindar agua a gran parte de la ciudad y sus alrededores. Debido a que recibe un alto aporte de nutrientes provenientes principalmente de la actividad antrópica constituye un ecosistema favorable para el desarrollo de comunidades algales. El objetivo general del trabajo fue evaluar el estado trófico del embalse a través de índices de eutrofización e indicadores biológicos. Se llevaron a cabo muestreos estacionales desde febrero de 2014 hasta febrero de 2016, en el muro de cierre de embalse y la desembocadura de los tributarios. Se midieron parámetros físicos y químicos y determinaron nutrientes. Se realizó la identificación taxonómica de las especies, se calculó la biomasa fitoplanctónica mediante el biovolumen y clorofila a y se estimó el índice de estado trófico. Se determinaron un total de 204 Taxa. El componente dominante del fitoplancton fue el dinoflagelado Ceratium furcoides y como subdominante la diatomea Aulacoseira granulata. De acuerdo al índice de estado trófico ubicamos al embalse San Roque en estado eutrófico, condiciones indeseables en un ambiente utilizado para provisión de agua potable.Fil. Daga, Inés Claudia. Facultad de Ciencias Exactas Físicas y Naturales, Universidad Nacional de Córdoba. Córdoba, Córdoba, Argentina.Fil. Fernández Belmonte, María Cecilia. Facultad de Ingeniería y Ciencias Agropecuarias, Universidad Nacional de San Luis. Villa Mercedes, San Luis, Argentina.Fil. María Reyna, Santiago. Facultad de Ciencias Exactas Físicas y Naturales, Universidad Nacional de Córdoba. Córdoba, Córdoba, Argentina

Plan de orientación para el acceso al Bachillerato y a la Formación Profesional de los alumnos de EGB

Proyecto de orientación escolar dirigido al alumnado de octavo de EGB que tiene como objetivo fundamental asesorar sobre el acceso a Bachillerato y Formación Profesional. Para su desarrollo la experiencia se estructura en dos grandes bloques. Por un lado se propone la realización de tests de aptitud, personalidad, vocación profesional y rendimiento escolar y cuestionarios sobre la realidad socio-económica y aspiraciones de la familia, tratamiento estadístico de los datos obtenidos y elaboración de conclusiones. Y por otro, se organizan charlas y coloquios para informar al alumnado sobre la posibilidad de realizar estudios de enseñanzas medias en la zona, características de los centros, posibilidad de becas, salidas profesionales, etc. La valoración de la experiencia es positiva, al posibilitar una orientación individual al alumnado en función de sus capacidades y actitudes..Madrid (Comunidad Autónoma). Consejería de Educación y CulturaMadridMadrid (Comunidad Autónoma). Subdirección General de Formación del Profesorado. CRIF Las Acacias; General Ricardos 179 - 28025 Madrid; Tel. + 34915250893ES