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9 results on '"Vega, Maria"'

1. Structure of class C GPCR metabotropic glutamate receptor 5 transmembrane domain

Author

Dore, Andrew S., Okrasa, Krzysztof, Patel, Jayesh C., Serrano-Vega, Maria, Bennett, Kirstie, Cooke, Robert M., Errey, James C., Jazayeri, Ali, Khan, Samir, Tehan, Ben, Weir, Malcolm, Wiggin, Giselle R., and Marshall, Fiona H.

Subjects
Structure, Care and treatment, Analysis, Research, G proteins -- Research -- Structure, Fragile X syndrome -- Care and treatment, Glutamate -- Research, Cellular signal transduction -- Analysis
Abstract

Glutamate is the major excitatory neurotransmitter in the central nervous system. It mediates its activity through ionotropic channels and eight metabotropic G-protein-coupled receptors (GPCRs) which are expressed in neuronal and [...], Metabotropic glutamate receptors are class C G-protein-coupled receptors which respond to the neurotransmitter glutamate. Structural studies have been restricted to the amino-terminal extracellular domain, providing little understanding of the membrane-spanning signal transduction domain. Metabotropic glutamate receptor 5 is of considerable interest as a drug target in the treatment of fragile X syndrome, autism, depression, anxiety, addiction and movement disorders. Here we report the crystal structure of the transmembrane domain of the human receptor in complex with the negative allosteric modulator, mavoglurant. The structure provides detailed insight into the architecture of the transmembrane domain of class C receptors including the precise location of the allosteric binding site within the transmembrane domain and key micro-switches which regulate receptor signalling. This structure also provides a model for all class C G-protein-coupled receptors and may aid in the design of new small-molecule drugs for the treatment of brain disorders.

Published
2014
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2. Structure of a [beta.sub.1]-adrenergic G-protein-coupled receptor

Author

Warne, Tony, Serrano-Vega, Maria J., Baker, Jillian G., Moukhametzianov, Rouslan, Edwards, Patricia C., Henderson, Richard, Leslie, Andrew G.W., Tate, Christopher G., and Schertler, Gebhard F.X.

Subjects
Physiological aspects, Research, Genetic aspects, Adrenergic beta receptors -- Genetic aspects -- Research -- Physiological aspects, Membrane proteins -- Research -- Physiological aspects -- Genetic aspects, Beta adrenoceptors -- Genetic aspects -- Research -- Physiological aspects
Abstract

G-protein-coupled receptors have a major role in transmembrane signalling in most eukaryotes and many are important drug targets. Here we report the 2.7Å resolution crystal structure of a [beta.sub.1]-adrenergic receptor [...]

Published
2008

3. The genomic landscape of balanced cytogenetic abnormalities associated with human congenital anomalies

Author

Redin, Claire, Brand, Harrison, Collins, Ryan L, Kammin, Tammy, Mitchell, Elyse, Hodge, Jennelle C, Hanscom, Carrie, Pillalamarri, Vamsee, Seabra, Catarina M, Abbott, Mary-Alice, Abdul-Rahman, Omar A, Aberg, Erika, Adley, Rhett, Alcaraz-Estrada, Sofia L, Alkuraya, Fowzan S, An, Yu, Anderson, Mary-Anne, Antolik, Caroline, Anyane-Yeboa, Kwame, Atkin, Joan F, Bartell, Tina, Bernstein, Jonathan A, Beyer, Elizabeth, Blumenthal, Ian, Bongers, Ernie M H F, Brilstra, Eva H, Brown, Chester W, Brüggenwirth, Hennie T, Callewaert, Bert, Chiang, Colby, Corning, Ken, Cox, Helen, Cuppen, Edwin, Currall, Benjamin B, Cushing, Tom, David, Dezso, Deardorff, Matthew A, Dheedene, Annelies, D'Hooghe, Marc, de Vries, Bert B A, Earl, Dawn L, Ferguson, Heather L, Fisher, Heather, FitzPatrick, David R, Gerrol, Pamela, Giachino, Daniela, Glessner, Joseph T, Gliem, Troy, Grady, Margo, Graham, Brett H, Griffis, Cristin, Gripp, Karen W, Gropman, Andrea L, Hanson-Kahn, Andrea, Harris, David J, Hayden, Mark A, Hill, Rosamund, Hochstenbach, Ron, Hoffman, Jodi D, Hopkin, Robert J, Hubshman, Monika W, Innes, A Micheil, Irons, Mira, Irving, Melita, Jacobsen, Jessie C, Janssens, Sandra, Jewett, Tamison, Johnson, John P, Jongmans, Marjolijn C, Kahler, Stephen G, Koolen, David A, Korzelius, Jerome, Kroisel, Peter M, Lacassie, Yves, Lawless, William, Lemyre, Emmanuelle, Leppig, Kathleen, Levin, Alex V, Li, Haibo, Li, Hong, Liao, Eric C, Lim, Cynthia, Lose, Edward J, Lucente, Diane, Macera, Michael J, Manavalan, Poornima, Mandrile, Giorgia, Marcelis, Carlo L, Margolin, Lauren, Mason, Tamara, Masser-Frye, Diane, McClellan, Michael W, Mendoza, Cinthya J Zepeda, Menten, Björn, Middelkamp, Sjors, Mikami, Liya R, Moe, Emily, Mohammed, Shehla, Mononen, Tarja, Mortenson, Megan E, Moya, Graciela, Nieuwint, Aggie W, Ordulu, Zehra, Parkash, Sandhya, Pauker, Susan P, Pereira, Shahrin, Perrin, Danielle, Phelan, Katy, Aguilar, Raul E Piña, Poddighe, Pino J, Pregno, Giulia, Raskin, Salmo, Reis, Linda, Rhead, William, Rita, Debra, Renkens, Ivo, Roelens, Filip, Ruliera, Jayla, Rump, Patrick, Schilit, Samantha L P, Shaheen, Ranad, Sparkes, Rebecca, Spiegel, Erica, Stevens, Blair, Stone, Matthew R, Tagoe, Julia, Thakuria, Joseph V, van Bon, Bregje W, van de Kamp, Jiddeke, van Der Burgt, Ineke, van Essen, Ton, van Ravenswaaij-Arts, Conny M, van Roosmalen, Markus J, Vergult, Sarah, Volker-Touw, Catharina M L, Warburton, Dorothy P, Waterman, Matthew J, Wiley, Susan, Wilson, Anna, Yerena-de Vega, Maria de la Concepcion A, Zori, Roberto T, Levy, Brynn, Brunner, Han G, de Leeuw, Nicole, Kloosterman, Wigard P, Thorland, Erik C, Morton, Cynthia C, Gusella, James F, Talkowski, Michael E, Redin, Claire, Brand, Harrison, Collins, Ryan L, Kammin, Tammy, Mitchell, Elyse, Hodge, Jennelle C, Hanscom, Carrie, Pillalamarri, Vamsee, Seabra, Catarina M, Abbott, Mary-Alice, Abdul-Rahman, Omar A, Aberg, Erika, Adley, Rhett, Alcaraz-Estrada, Sofia L, Alkuraya, Fowzan S, An, Yu, Anderson, Mary-Anne, Antolik, Caroline, Anyane-Yeboa, Kwame, Atkin, Joan F, Bartell, Tina, Bernstein, Jonathan A, Beyer, Elizabeth, Blumenthal, Ian, Bongers, Ernie M H F, Brilstra, Eva H, Brown, Chester W, Brüggenwirth, Hennie T, Callewaert, Bert, Chiang, Colby, Corning, Ken, Cox, Helen, Cuppen, Edwin, Currall, Benjamin B, Cushing, Tom, David, Dezso, Deardorff, Matthew A, Dheedene, Annelies, D'Hooghe, Marc, de Vries, Bert B A, Earl, Dawn L, Ferguson, Heather L, Fisher, Heather, FitzPatrick, David R, Gerrol, Pamela, Giachino, Daniela, Glessner, Joseph T, Gliem, Troy, Grady, Margo, Graham, Brett H, Griffis, Cristin, Gripp, Karen W, Gropman, Andrea L, Hanson-Kahn, Andrea, Harris, David J, Hayden, Mark A, Hill, Rosamund, Hochstenbach, Ron, Hoffman, Jodi D, Hopkin, Robert J, Hubshman, Monika W, Innes, A Micheil, Irons, Mira, Irving, Melita, Jacobsen, Jessie C, Janssens, Sandra, Jewett, Tamison, Johnson, John P, Jongmans, Marjolijn C, Kahler, Stephen G, Koolen, David A, Korzelius, Jerome, Kroisel, Peter M, Lacassie, Yves, Lawless, William, Lemyre, Emmanuelle, Leppig, Kathleen, Levin, Alex V, Li, Haibo, Li, Hong, Liao, Eric C, Lim, Cynthia, Lose, Edward J, Lucente, Diane, Macera, Michael J, Manavalan, Poornima, Mandrile, Giorgia, Marcelis, Carlo L, Margolin, Lauren, Mason, Tamara, Masser-Frye, Diane, McClellan, Michael W, Mendoza, Cinthya J Zepeda, Menten, Björn, Middelkamp, Sjors, Mikami, Liya R, Moe, Emily, Mohammed, Shehla, Mononen, Tarja, Mortenson, Megan E, Moya, Graciela, Nieuwint, Aggie W, Ordulu, Zehra, Parkash, Sandhya, Pauker, Susan P, Pereira, Shahrin, Perrin, Danielle, Phelan, Katy, Aguilar, Raul E Piña, Poddighe, Pino J, Pregno, Giulia, Raskin, Salmo, Reis, Linda, Rhead, William, Rita, Debra, Renkens, Ivo, Roelens, Filip, Ruliera, Jayla, Rump, Patrick, Schilit, Samantha L P, Shaheen, Ranad, Sparkes, Rebecca, Spiegel, Erica, Stevens, Blair, Stone, Matthew R, Tagoe, Julia, Thakuria, Joseph V, van Bon, Bregje W, van de Kamp, Jiddeke, van Der Burgt, Ineke, van Essen, Ton, van Ravenswaaij-Arts, Conny M, van Roosmalen, Markus J, Vergult, Sarah, Volker-Touw, Catharina M L, Warburton, Dorothy P, Waterman, Matthew J, Wiley, Susan, Wilson, Anna, Yerena-de Vega, Maria de la Concepcion A, Zori, Roberto T, Levy, Brynn, Brunner, Han G, de Leeuw, Nicole, Kloosterman, Wigard P, Thorland, Erik C, Morton, Cynthia C, Gusella, James F, and Talkowski, Michael E

Published
2017

4. The genomic landscape of balanced cytogenetic abnormalities associated with human congenital anomalies

Author

Genetica Klinische Genetica, Brain, CMM, Circulatory Health, Cancer, Child Health, Genetica Sectie Genoomdiagnostiek, CMM Groep Cuppen, Genetica, CMM Groep Kloosterman, Redin, Claire, Brand, Harrison, Collins, Ryan L, Kammin, Tammy, Mitchell, Elyse, Hodge, Jennelle C, Hanscom, Carrie, Pillalamarri, Vamsee, Seabra, Catarina M, Abbott, Mary-Alice, Abdul-Rahman, Omar A, Aberg, Erika, Adley, Rhett, Alcaraz-Estrada, Sofia L, Alkuraya, Fowzan S, An, Yu, Anderson, Mary-Anne, Antolik, Caroline, Anyane-Yeboa, Kwame, Atkin, Joan F, Bartell, Tina, Bernstein, Jonathan A, Beyer, Elizabeth, Blumenthal, Ian, Bongers, Ernie M H F, Brilstra, Eva H, Brown, Chester W, Brüggenwirth, Hennie T, Callewaert, Bert, Chiang, Colby, Corning, Ken, Cox, Helen, Cuppen, Edwin, Currall, Benjamin B, Cushing, Tom, David, Dezso, Deardorff, Matthew A, Dheedene, Annelies, D'Hooghe, Marc, de Vries, Bert B A, Earl, Dawn L, Ferguson, Heather L, Fisher, Heather, FitzPatrick, David R, Gerrol, Pamela, Giachino, Daniela, Glessner, Joseph T, Gliem, Troy, Grady, Margo, Graham, Brett H, Griffis, Cristin, Gripp, Karen W, Gropman, Andrea L, Hanson-Kahn, Andrea, Harris, David J, Hayden, Mark A, Hill, Rosamund, Hochstenbach, Ron, Hoffman, Jodi D, Hopkin, Robert J, Hubshman, Monika W, Innes, A Micheil, Irons, Mira, Irving, Melita, Jacobsen, Jessie C, Janssens, Sandra, Jewett, Tamison, Johnson, John P, Jongmans, Marjolijn C, Kahler, Stephen G, Koolen, David A, Korzelius, Jerome, Kroisel, Peter M, Lacassie, Yves, Lawless, William, Lemyre, Emmanuelle, Leppig, Kathleen, Levin, Alex V, Li, Haibo, Li, Hong, Liao, Eric C, Lim, Cynthia, Lose, Edward J, Lucente, Diane, Macera, Michael J, Manavalan, Poornima, Mandrile, Giorgia, Marcelis, Carlo L, Margolin, Lauren, Mason, Tamara, Masser-Frye, Diane, McClellan, Michael W, Mendoza, Cinthya J Zepeda, Menten, Björn, Middelkamp, Sjors, Mikami, Liya R, Moe, Emily, Mohammed, Shehla, Mononen, Tarja, Mortenson, Megan E, Moya, Graciela, Nieuwint, Aggie W, Ordulu, Zehra, Parkash, Sandhya, Pauker, Susan P, Pereira, Shahrin, Perrin, Danielle, Phelan, Katy, Aguilar, Raul E Piña, Poddighe, Pino J, Pregno, Giulia, Raskin, Salmo, Reis, Linda, Rhead, William, Rita, Debra, Renkens, Ivo, Roelens, Filip, Ruliera, Jayla, Rump, Patrick, Schilit, Samantha L P, Shaheen, Ranad, Sparkes, Rebecca, Spiegel, Erica, Stevens, Blair, Stone, Matthew R, Tagoe, Julia, Thakuria, Joseph V, van Bon, Bregje W, van de Kamp, Jiddeke, van Der Burgt, Ineke, van Essen, Ton, van Ravenswaaij-Arts, Conny M, van Roosmalen, Markus J, Vergult, Sarah, Volker-Touw, Catharina M L, Warburton, Dorothy P, Waterman, Matthew J, Wiley, Susan, Wilson, Anna, Yerena-de Vega, Maria de la Concepcion A, Zori, Roberto T, Levy, Brynn, Brunner, Han G, de Leeuw, Nicole, Kloosterman, Wigard P, Thorland, Erik C, Morton, Cynthia C, Gusella, James F, Talkowski, Michael E, Genetica Klinische Genetica, Brain, CMM, Circulatory Health, Cancer, Child Health, Genetica Sectie Genoomdiagnostiek, CMM Groep Cuppen, Genetica, CMM Groep Kloosterman, Redin, Claire, Brand, Harrison, Collins, Ryan L, Kammin, Tammy, Mitchell, Elyse, Hodge, Jennelle C, Hanscom, Carrie, Pillalamarri, Vamsee, Seabra, Catarina M, Abbott, Mary-Alice, Abdul-Rahman, Omar A, Aberg, Erika, Adley, Rhett, Alcaraz-Estrada, Sofia L, Alkuraya, Fowzan S, An, Yu, Anderson, Mary-Anne, Antolik, Caroline, Anyane-Yeboa, Kwame, Atkin, Joan F, Bartell, Tina, Bernstein, Jonathan A, Beyer, Elizabeth, Blumenthal, Ian, Bongers, Ernie M H F, Brilstra, Eva H, Brown, Chester W, Brüggenwirth, Hennie T, Callewaert, Bert, Chiang, Colby, Corning, Ken, Cox, Helen, Cuppen, Edwin, Currall, Benjamin B, Cushing, Tom, David, Dezso, Deardorff, Matthew A, Dheedene, Annelies, D'Hooghe, Marc, de Vries, Bert B A, Earl, Dawn L, Ferguson, Heather L, Fisher, Heather, FitzPatrick, David R, Gerrol, Pamela, Giachino, Daniela, Glessner, Joseph T, Gliem, Troy, Grady, Margo, Graham, Brett H, Griffis, Cristin, Gripp, Karen W, Gropman, Andrea L, Hanson-Kahn, Andrea, Harris, David J, Hayden, Mark A, Hill, Rosamund, Hochstenbach, Ron, Hoffman, Jodi D, Hopkin, Robert J, Hubshman, Monika W, Innes, A Micheil, Irons, Mira, Irving, Melita, Jacobsen, Jessie C, Janssens, Sandra, Jewett, Tamison, Johnson, John P, Jongmans, Marjolijn C, Kahler, Stephen G, Koolen, David A, Korzelius, Jerome, Kroisel, Peter M, Lacassie, Yves, Lawless, William, Lemyre, Emmanuelle, Leppig, Kathleen, Levin, Alex V, Li, Haibo, Li, Hong, Liao, Eric C, Lim, Cynthia, Lose, Edward J, Lucente, Diane, Macera, Michael J, Manavalan, Poornima, Mandrile, Giorgia, Marcelis, Carlo L, Margolin, Lauren, Mason, Tamara, Masser-Frye, Diane, McClellan, Michael W, Mendoza, Cinthya J Zepeda, Menten, Björn, Middelkamp, Sjors, Mikami, Liya R, Moe, Emily, Mohammed, Shehla, Mononen, Tarja, Mortenson, Megan E, Moya, Graciela, Nieuwint, Aggie W, Ordulu, Zehra, Parkash, Sandhya, Pauker, Susan P, Pereira, Shahrin, Perrin, Danielle, Phelan, Katy, Aguilar, Raul E Piña, Poddighe, Pino J, Pregno, Giulia, Raskin, Salmo, Reis, Linda, Rhead, William, Rita, Debra, Renkens, Ivo, Roelens, Filip, Ruliera, Jayla, Rump, Patrick, Schilit, Samantha L P, Shaheen, Ranad, Sparkes, Rebecca, Spiegel, Erica, Stevens, Blair, Stone, Matthew R, Tagoe, Julia, Thakuria, Joseph V, van Bon, Bregje W, van de Kamp, Jiddeke, van Der Burgt, Ineke, van Essen, Ton, van Ravenswaaij-Arts, Conny M, van Roosmalen, Markus J, Vergult, Sarah, Volker-Touw, Catharina M L, Warburton, Dorothy P, Waterman, Matthew J, Wiley, Susan, Wilson, Anna, Yerena-de Vega, Maria de la Concepcion A, Zori, Roberto T, Levy, Brynn, Brunner, Han G, de Leeuw, Nicole, Kloosterman, Wigard P, Thorland, Erik C, Morton, Cynthia C, Gusella, James F, and Talkowski, Michael E

Published
2017

5. Identifying oscillatory brain networks with hidden Gaussian graphical spectral models of MEEG.

Author

Paz-Linares D, Gonzalez-Moreira E, Areces-Gonzalez A, Wang Y, Li M, Martinez-Montes E, Bosch-Bayard J, Bringas-Vega ML, Valdes-Sosa M, and Valdes-Sosa PA

Subjects
Animals, Humans, Bayes Theorem, Electrocorticography, Alpha Rhythm, Macaca, Electroencephalography methods, Magnetoencephalography methods, Models, Neurological, Brain, Brain Mapping methods
Abstract

Identifying the functional networks underpinning indirectly observed processes poses an inverse problem for neurosciences or other fields. A solution of such inverse problems estimates as a first step the activity emerging within functional networks from EEG or MEG data. These EEG or MEG estimates are a direct reflection of functional brain network activity with a temporal resolution that no other in vivo neuroimage may provide. A second step estimating functional connectivity from such activity pseudodata unveil the oscillatory brain networks that strongly correlate with all cognition and behavior. Simulations of such MEG or EEG inverse problem also reveal estimation errors of the functional connectivity determined by any of the state-of-the-art inverse solutions. We disclose a significant cause of estimation errors originating from misspecification of the functional network model incorporated into either inverse solution steps. We introduce the Bayesian identification of a Hidden Gaussian Graphical Spectral (HIGGS) model specifying such oscillatory brain networks model. In human EEG alpha rhythm simulations, the estimation errors measured as ROC performance do not surpass 2% in our HIGGS inverse solution and reach 20% in state-of-the-art methods. Macaque simultaneous EEG/ECoG recordings provide experimental confirmation for our results with 1/3 times larger congruence according to Riemannian distances than state-of-the-art methods., (© 2023. The Author(s).)

Published
2023
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6. Gene expression rearrangements denoting changes in the biological state.

Author

Gonzalez A, Nieves J, Leon DA, Bringas Vega ML, and Sosa PV

Subjects
Aged, Alzheimer Disease genetics, Brain metabolism, Disease Progression, Escherichia coli, Humans, Phenotype, Alzheimer Disease pathology, Brain pathology, Gene Expression Profiling, Gene Expression Regulation, Gene Rearrangement
Abstract

In many situations, the gene expression signature is a unique marker of the biological state. We study the modification of the gene expression distribution function when the biological state of a system experiences a change. This change may be the result of a selective pressure, as in the Long Term Evolution Experiment with E. Coli populations, or the progression to Alzheimer disease in aged brains, or the progression from a normal tissue to the cancer state. The first two cases seem to belong to a class of transitions, where the initial and final states are relatively close to each other, and the distribution function for the differential expressions is short ranged, with a tail of only a few dozens of strongly varying genes. In the latter case, cancer, the initial and final states are far apart and separated by a low-fitness barrier. The distribution function shows a very heavy tail, with thousands of silenced and over-expressed genes. We characterize the biological states by means of their principal component representations, and the expression distribution functions by their maximal and minimal differential expression values and the exponents of the Pareto laws describing the tails.

Published
2021
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7. The Cuban Human Brain Mapping Project, a young and middle age population-based EEG, MRI, and cognition dataset.

Author

Valdes-Sosa PA, Galan-Garcia L, Bosch-Bayard J, Bringas-Vega ML, Aubert-Vazquez E, Rodriguez-Gil I, Das S, Madjar C, Virues-Alba T, Mohades Z, MacIntyre LC, Rogers C, Brown S, Valdes-Urrutia L, Evans AC, and Valdes-Sosa MJ

Subjects
Adolescent, Adult, Aged, Cuba, Female, Humans, Male, Middle Aged, Neuropsychological Tests, Young Adult, Brain Mapping, Cognition, Electroencephalography, Magnetic Resonance Imaging
Abstract

The Cuban Human Brain Mapping Project (CHBMP) repository is an open multimodal neuroimaging and cognitive dataset from 282 young and middle age healthy participants (31.9 ± 9.3 years, age range 18-68 years). This dataset was acquired from 2004 to 2008 as a subset of a larger stratified random sample of 2,019 participants from La Lisa municipality in La Habana, Cuba. The exclusion criteria included the presence of disease or brain dysfunctions. Participant data that is being shared comprises i) high-density (64-120 channels) resting-state electroencephalograms (EEG), ii) magnetic resonance images (MRI), iii) psychological tests (MMSE, WAIS-III, computerized go-no go reaction time), as well as iv,) demographic information (age, gender, education, ethnicity, handedness, and weight). The EEG data contains recordings with at least 30 minutes in duration including the following conditions: eyes closed, eyes open, hyperventilation, and subsequent recovery. The MRI consists of anatomical T1 as well as diffusion-weighted (DWI) images acquired on a 1.5 Tesla system. The dataset presented here is hosted by Synapse.org and available at https://chbmp-open.loris.ca .

Published
2021
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8. Regulatory T cell phenotype and anti-osteoclastogenic function in experimental periodontitis.

Author

Alvarez C, Suliman S, Almarhoumi R, Vega ME, Rojas C, Monasterio G, Galindo M, Vernal R, and Kantarci A

Subjects
Animals, Bone Marrow Cells immunology, Bone Marrow Cells pathology, Chronic Disease, Coculture Techniques, Female, Forkhead Transcription Factors genetics, Forkhead Transcription Factors metabolism, Gene Expression, Immunophenotyping, Interleukin-17 biosynthesis, Lymph Nodes pathology, Male, Mice, Mice, Inbred C57BL, Neck, T-Lymphocytes, Regulatory pathology, Osteogenesis immunology, Periodontitis immunology, T-Lymphocytes, Regulatory immunology
Abstract

The alveolar bone resorption is a distinctive feature of periodontitis progression and determinant for tooth loss. Regulatory T lymphocytes (Tregs) display immuno-suppressive mechanisms and tissue repairing functions, which are critical to support periodontal health. Tregs may become unstable and dysfunctional under inflammatory conditions, which can even accelerate tissue destruction. In this study, experimental periodontitis was associated with the progressive and increased presence of Th17 and Treg-related mediators in the gingiva (IL-6, IL-17A, IL-17F, RANKL, IL-10, TGF-β and GITR; P < 0.05), and the proliferation of both Treg and Th17 cells in cervical lymph nodes. Tregs from cervical lymph nodes had reduced Foxp3 expression (> 25% MFI loss) and increased IL-17A expression (> 15%), compared with Tregs from spleen and healthy controls. Tregs gene expression analysis showed a differential signature between health and disease, with increased expression of Th17-associated factors in periodontitis-derived Tregs. The ex vivo suppression capacity of Tregs on osteoclastic differentiation was significantly lower in Tregs obtained from periodontally diseased animals compared to controls (P < 0.05), as identified by the increased number of TRAP + osteoclasts (P < 0.01) in the Tregs/pre-osteoclast co-cultures. Taken together, these results demonstrate that Tregs become phenotypically unstable and lose anti-osteoclastogenic properties during experimental periodontitis; thus, further promoting the Th17-driven bone loss.

Published
2020
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9. Real time monitoring of membrane GPCR reconstitution by plasmon waveguide resonance: on the role of lipids.

Author

Calmet P, De Maria M, Harté E, Lamb D, Serrano-Vega M, Jazayeri A, Tschammer N, and Alves ID

Subjects
Humans, Membrane Lipids chemistry, Membranes, Artificial, Receptors, CCR5 chemistry, Surface Plasmon Resonance methods
Abstract

G-protein coupled receptors (GPCRs) are important therapeutic targets since more than 40% of the drugs on the market exert their action through these proteins. To decipher the molecular mechanisms of activation and signaling, GPCRs often need to be isolated and reconstituted from a detergent-solubilized state into a well-defined and controllable lipid model system. Several methods exist to reconstitute membrane proteins in lipid systems but usually the reconstitution success is tested at the end of the experiment and often by an additional and indirect method. Irrespective of the method used, the reconstitution process is often an intractable and time-consuming trial-and-error procedure. Herein, we present a method that allows directly monitoring the reconstitution of GPCRs in model planar lipid membranes. Plasmon waveguide resonance (PWR) allows following GPCR lipid reconstitution process without any labeling and with high sensitivity. Additionally, the method is ideal to probe the lipid effect on receptor ligand binding as demonstrated by antagonist binding to the chemokine CCR5 receptor.

Published
2016
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