173 research outputs found
Desarrollo y caracterización de aptámeros de RNA y DNA frente a la proteína ErbB3 binding protein-1 mediante procedimientos de selección y evolución in vitro
Tesis Doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Ciencias, Departamento de Biología Molecular. Fecha de lectura: 18-10-2016El principal objetivo de esta Tesis ha sido el desarrollo y caracterización de aptámeros
específicos frente a la proteína ErbB3-binding protein 1 (Ebp1). Los aptámeros, de DNA y RNA, se
obtuvieron mediante selección in vitro y evolución in vitro. Las poblaciones finales de los cuatro
procesos se analizaron y compararon para detectar y caracterizar los mejores aptámeros, así como
para evaluar las estrategias utilizables para la obtención de los mismos.
Los aptámeros son moléculas de DNA de cadena sencilla o de RNA, seleccionadas a partir
de poblaciones combinatoriales mediante un proceso conocido como SELEX (Systematic Evolution
of Ligands by EXponential enrichment), que son capaces de unirse específicamente a un ligando
determinado. En comparación con otras moléculas de unión (naturales o sintéticas) los aptámeros
poseen propiedades químicas y bioquímicas únicas, entre las que destaca la posibilidad de ser
seleccionados frente a cualquier tipo de diana, incluso en condiciones no fisiológicas. Desde la
aparición de la tecnología SELEX, en 1990, se han obtenido numerosos aptámeros con alta
especificidad y afinidad frente a un amplio rango de moléculas diana, entre ellas proteínas, ácidos
nucleicos y complejos macromoleculares de gran relevancia en virología. En este trabajo se han
desarrollado aptámeros frente a ErbB3-binding protein 1 (Ebp1), una proteína ITAF (IRES-trans
acting factor) también conocida ITAF45 y PA2G4, que estimula la traducción de la poliproteína del
virus de la fiebre aftosa (FMDV) mediante su unión al IRES viral.
Los principales objetivos de esta Tesis fueron: I) Obtener aptámeros de ssDNA y de RNA
frente a la proteína Ebp1, comparando los procesos de selección in vitro de ambos ácidos nucleicos
(DS, RS) con los de evolución in vitro (DE, RE), realizados en paralelo; II) Combinar la
especificidad de los aptámeros por sus dianas con la sensibilidad de la amplificación de ácidos
nucleicos mediante PCR a tiempo real para conseguir un método de detección ultrasensible basado
en el ELONA-qPCR; III) Aplicar el sistema de ELONA-qPCR desarrollado a la caracterización
funcional (incluyendo la cuantificación de la constante de disociación, Kd, y la capacidad de unión
máxima, Bmax) de los aptámeros obtenidos; IV) Identificar motivos cortos de secuencia/estructura
presentes en los aptámeros de alta afinidad que podrían estar implicados en la interacción aptámero-
Ebp1; y V) Realizar una caracterización preliminar de la estructura tridimensional del IRES de
FMDV, de Ebp1 y de complejos IRES-Ebp1 mediante microscopía de fuerza atómica (AFM).This Thesis is aimed to the development and characterization of aptamers specific to the
ErbB3-binding protein 1 (Ebp1). DNA and RNA aptamers have been developed by means of in
vitro selection as well as by in vitro evolution. The final populations of the four processes were
analyzed and compared in order to find the best aptamers, as well as to evaluate the strategies for
aptamers development.
Aptamers are single-stranded DNA or RNA molecules selected from large combinatorial
libraries through a process referred to as SELEX (Systematic Evolution of Ligands by EXponential
enrichment) that are able to specifically bind to a desired target molecule. As compared to other
natural and synthetic binding molecules, aptamers possess unique chemical and biochemical
features, including the ability to be selected against virtually any target, even in non-physiological
conditions. Since the set up of SELEX technology in 1990, many aptamers have been developed
with high specificity and affinity to a broad range of target molecules, some of them being proteins,
nucleic acid regions and macromolecular assemblies highly relevant in virology. In this work, we
have developed aptamers against the ErbB3-binding protein 1 (Ebp1), an IRES-trans acting factor
also known as ITAF45 and PA2G4 that stimulates translation driven by the FMDV IRES.
The main objectives of this Thesis were the following: I) To obtain DNA and RNA
aptamers against the protein Ebp1, comparing in vitro selection methods (DS, RS) with in vitro
evolution processes (DE, RE) performed in parallel; II) To combine the specificity of the aptamers
for their target molecules with the sensitivity of real-time nucleic acid amplification to set up an
ultrasensitive detection method based on ELONA-qPCR; III) To apply the developed ELONAqPCR
system to the functional characterization (including the quantification of the dissociation
constant, Kd, and maximum binding capacity, Bmax) of the obtained aptamers; IV) To identify short
sequence/structure motifs present in the high affinity aptamers that could be involved in the
aptamer-Ebp1 interaction; V) Finally, to perform a preliminary analysis of the three-dimensional
structure of FMDV IRES, Ebp1 and IRES-Ebp1 complexes by means of atomic force microscopy
(AFM)
Adaptive exposure estimation for high dynamic range imaging applied to natural scenes and daylight skies
Digital imaging of natural scenes and optical phenomena present on them (such as shadows, twilights,
and crepuscular rays) can be a very challenging task because of the range spanned by the radiances
impinging on the capture system. We propose a novel method for estimating the set of exposure times
(bracketing set) needed to capture the full dynamic range of a scene with high dynamic range (HDR)
content. The proposed method is adaptive to scene content and to any camera response and configuration,
and it works on-line since the exposure times are estimated as the capturing process is ongoing. Besides,
it requires no a priori information about scene content or radiance values. The resulting bracketing sets
are minimal in the default method settings, but the user can set a tolerance for the maximum percentage
of pixel population that is underexposed or saturated, which allows for a higher number of shots if a
better signal-to-noise ratio (SNR) in the HDR scene is desired. This method is based on the use of
the camera response function that is needed for building the HDR radiance map by stitching together
several differently exposed low dynamic range images of the scene. The use of HDR imaging techniques
converts our digital camera into a tool for measuring the relative radiance outgoing from each point of the
scene, and for each color channel. This is important for accurate characterization of optical phenomena
present in the atmosphere while not suffering any loss of information due to its HDR.We have compared
our method with the most similar one developed so far [IEEE Trans. Image Process. 17, 1864 (2008)].
Results of the experiments carried out for 30 natural scenes show that our proposed method equals or
outperforms the previously developed best approach, with less shots and shorter exposure times, thereby
asserting the advantage of being adaptive to scene content for exposure time estimation. As we can also
tune the balance between capturing time and the SNR in our method, we have compared its SNR performance
against that of Barakat’s method as well as against a ground-truth HDR image of maximum
SNR. Results confirm the success of the proposed method in exploiting its tunability to achieve the desired
balance of total Δt and SNR
Evaluation of Cleaning Processes Using Colorimetric and Spectral Data for the Removal of Layers of Limewash from Medieval Plasterwork
In the cultural heritage preservation of medieval buildings, it is common to find plaster
walls covered in lime, which previously were painted in polychromy. The conservation interventions
usually try to remove the whitewash, whilst maintaining the original color of the painted wall as
much as possible. However, there is no agreement on which cleaning technique best preserves the
original appearance of the colored plaster. Different pigments found below the lime layer may
behave differently depending on the cleaning technique used. Usually, colorimetric or photometric
area-based measurements are carried out to study the color of the cleaned areas to compare with their
original color, obtained from pre-made plaster probes. However, this methodology fails when the
mean color difference is not enough to fully characterize the changes in texture and color appearance.
This study presents a set of experiments carried out using two different pigments (cinnabar and
malachite) covered with lime, and treated with nine different cleaning techniques on plaster probes
prepared according to medieval techniques. We have studied the effect of the cleaning process on the
color and the homogeneity of the samples using a hyperspectral imaging workflow. Four different
analysis methods are presented and discussed. Our results show that the proposed analysis is able to
provide a much more comprehensive and diversified characterization of the quality of the cleaning
method compared to the commonly used colorimetric or photometric area-based measurements.Ministry of Economy and Competitiveness
HAR2015-66139-PEuropean Union (EU)
HAR2015-66139-
Colorimetric and spectral data analysis of consolidants used for preservation of medieval plasterwork
The incorporation of new methods of heritage analysis belonging to other branches of science is currently providing very useful tools for the examination of preservation products. This paper outlines the use of spectral images as an alternative to traditional colorimetry measurements carried out with a spectrophotometer for the evaluation of color changes produced by consolidation treatments applied on polychromed plasterwork. Thus, for this investigation we used a total of 18 plaster test specimens which reproduce the techniques and materials present in plasterwork from the medieval era, on which a selection of six currently-used consolidants was applied. By doing this, we have proved that the use of this method over traditional colorimetry has several advantages, such as the analysis of spatial homogeneity or obtaining colorimetric data of the entire scanned surface.Ministry of Economy andCompetitiveness and by the European Regional Development Fund(MINECO/ERDF, EU) within the framework of the Research ProjectHAR2015-66139-P, as well as by the Excellence Project of theAndalusian Regional Government P12-HUM-1941
Eight-Channel Multispectral Image Database for Saliency Prediction
Saliency prediction is a very important and challenging task within the computer vision
community. Many models exist that try to predict the salient regions on a scene from its RGB
image values. Several new models are developed, and spectral imaging techniques may potentially
overcome the limitations found when using RGB images. However, the experimental study of
such models based on spectral images is difficult because of the lack of available data to work
with. This article presents the first eight-channel multispectral image database of outdoor urban
scenes together with their gaze data recorded using an eyetracker over several observers performing
different visualization tasks. Besides, the information from this database is used to study whether
the complexity of the images has an impact on the saliency maps retrieved from the observers.
Results show that more complex images do not correlate with higher differences in the saliency
maps obtained.Spanish Ministry of Science, Innovation, and Universities (MICINN)
RTI2018-094738-B-I00European Commissio
Tratamientos de aguas residuales industriales con materia orgánica no biodegradable
El proyecto consiste en presentar los distintos tratamientos para la eliminación o reducción de materia orgánica no biodegradable en aguas residuales ndustriales. Se estudia el consumo, uso y características de las aguas residuales industriales, así como los contaminantes que presentan, dependiendo del tipo de industrias de las que proceden, haciendo hincapié en las aguas residuales industriales con materia orgánica no biodegradable, objeto del proyecto. Se lleva a cabo una recopilación de los distintos tratamientos que se utilizan en la actualidad, y de las nuevas tecnologías que se están desarrollando. Se describen los procesos de funcionamiento, sus ventajas e inconvenientes y aplicaciones más importantes, indicando uno o varios ejemplos a nivel industrial. Finalmente se desarrolla un ejemplo aplicado a un vertido industrial, procedente de una planta perteneciente a la industria petroquímica, comparando las distintas técnicas estudiadas, y seleccionando la tecnología más adecuada
Participación y salud mental en primera persona: toma de decisiones en el proyecto vital propio y asociacionismo
La participación de personas con diagnóstico de salud mental está repleta de claroscuros, de intentos por fomentarla pero también de obstáculos que la frenan, herencia de un modelo de atención estigmatizante basado en lo sintomático, en lo enfermo, y no en la integralidad y el reconocimiento de la persona y su recuperación como objeto. Las propuestas de participación comprometida no se pueden permitir abarcar tan solo lo individual, de tal forma que el reto consiste en transmutar, en primera persona, por convicción y mediante acción directa, lo individual y lo fragmentado, las demandas asistencialistas, en colectivo y estructural, en reivindicaciones y lucha por los derechos de todas las personas que presentan un problema de salud mental. No obstante, ni las condiciones materiales ni las herramientas para construir y articular un movimiento social fuerte y combativo se crean solas, así que es tarea de los profesionales de lo social, desde su humilde parcela de intervención, repensar cómo contribuir a que esta necesidad se convierta en realidad.<br /
Characterization of the evolution of indigo blue by multispectral imaging
FEDER/Junta de Andalucia-Consejeria de Economia y Conocimiento, Grant/Award Number: A-HUM-164-UGR18; Ministry of Economy and Competitiveness of Spain, Grant/Award Number: DPI2015-64571-R; Spanish Ministry of Economy and Competitiveness, Grant/Award Number: Ramon y Cajal program; Ministry of Economy and Competitiveness; Junta de Andalucia; FEDER (European Regional Development Fund).Indigo blue is a natural organic color from the Indigofera tinctoria plant. It is
insoluble in water and does not require mordant to fix the color; therefore, due
to its nature it can be considered as a pigment or dye. The identification of
indigo in cultural heritage is very difficult due to the complexity of its chemical
formula and the changes that it can undergo in certain conservation and exposition
conditions. For this reason, characterization of possible degradation,
transformation, and reaction processes is essential for its identification. In this
study, multispectral imaging has been used for the first time as noninvasive
technique to characterize the aging state of indigo blue using samples aged in
a controlled climate chamber under extreme conditions of humidity, temperature,
and light. The technique has proven to be very promising for this application,
together with classification techniques based on machine learning
approaches.FEDER/Junta de Andalucia-Consejeria de Economia y Conocimiento A-HUM-164-UGR18Ministry of Economy and Competitiveness of Spain DPI2015-64571-RSpanish Ministry of Economy and CompetitivenessMinistry of Economy and CompetitivenessJunta de AndaluciaEuropean Commissio
- …