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Showing 1 to 6 of 6 entries
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Levetiracetam Affects Differentially Presynaptic Proteins in Rat Cerebral Cortex.

Frontiers in cellular neuroscience

Marcotulli D, Fattorini G, Bragina L, Perugini J, Conti F.
PMID: 29311825
Front Cell Neurosci. 2017 Dec 11;11:389. doi: 10.3389/fncel.2017.00389. eCollection 2017.

Presynaptic proteins are potential therapeutic targets for epilepsy and other neurological diseases. We tested the hypothesis that chronic treatment with the SV2A ligand levetiracetam affects the expression of other presynaptic proteins. Results showed that in rat neocortex no significant...

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Marcotulli D, Fattorini G, Bragina L, et al. Levetiracetam Affects Differentially Presynaptic Proteins in Rat Cerebral Cortex. Front Cell Neurosci. 2017;11:389doi: 10.3389/fncel.2017.00389.
Marcotulli, D., Fattorini, G., Bragina, L., Perugini, J., & Conti, F. (2017). Levetiracetam Affects Differentially Presynaptic Proteins in Rat Cerebral Cortex. Frontiers in cellular neuroscience, 11389. https://doi.org/10.3389/fncel.2017.00389
Marcotulli, Daniele, et al. "Levetiracetam Affects Differentially Presynaptic Proteins in Rat Cerebral Cortex." Frontiers in cellular neuroscience vol. 11 (2017): 389. doi: https://doi.org/10.3389/fncel.2017.00389
Marcotulli D, Fattorini G, Bragina L, Perugini J, Conti F. Levetiracetam Affects Differentially Presynaptic Proteins in Rat Cerebral Cortex. Front Cell Neurosci. 2017 Dec 11;11:389. doi: 10.3389/fncel.2017.00389. eCollection 2017. PMID: 29311825; PMCID: PMC5732259.
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Morphological and histochemical characterization of the secretory epithelium in the canine lacrimal gland.

European journal of histochemistry : EJH

Yasui T, Miyata K, Nakatsuka C, Tsukise A, Gomi H.
PMID: 34726360
Eur J Histochem. 2021 Nov 02;65(4). doi: 10.4081/ejh.2021.3320.

In the present study, the expression of secretory components and vesicular transport proteins in the canine lacrimal gland was examined and morphometric analysis was performed. The secretory epithelium consists of two types of secretory cells with different morphological features....

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Yasui T, Miyata K, Nakatsuka C, et al. Morphological and histochemical characterization of the secretory epithelium in the canine lacrimal gland. Eur J Histochem. 2021;65(4)doi: 10.4081/ejh.2021.3320.
Yasui, T., Miyata, K., Nakatsuka, C., Tsukise, A., & Gomi, H. (2021). Morphological and histochemical characterization of the secretory epithelium in the canine lacrimal gland. European journal of histochemistry : EJH, 65(4), . https://doi.org/10.4081/ejh.2021.3320
Yasui, Tadashi, et al. "Morphological and histochemical characterization of the secretory epithelium in the canine lacrimal gland." European journal of histochemistry : EJH vol. 65,4 (2021). doi: https://doi.org/10.4081/ejh.2021.3320
Yasui T, Miyata K, Nakatsuka C, Tsukise A, Gomi H. Morphological and histochemical characterization of the secretory epithelium in the canine lacrimal gland. Eur J Histochem. 2021 Nov 02;65(4). doi: 10.4081/ejh.2021.3320. PMID: 34726360; PMCID: PMC8581551.
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Computational identification of vesicular transport proteins from sequences using deep gated recurrent units architecture.

Computational and structural biotechnology journal

Le NQK, Yapp EKY, Nagasundaram N, Chua MCH, Yeh HY.
PMID: 31921391
Comput Struct Biotechnol J. 2019 Oct 25;17:1245-1254. doi: 10.1016/j.csbj.2019.09.005. eCollection 2019.

Protein function prediction is one of the most well-studied topics, attracting attention from countless researchers in the field of computational biology. Implementing deep neural networks that help improve the prediction of protein function, however, is still a major challenge....

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Le NQK, Yapp EKY, Nagasundaram N, et al. Computational identification of vesicular transport proteins from sequences using deep gated recurrent units architecture. Comput Struct Biotechnol J. 2019;17:1245-1254doi: 10.1016/j.csbj.2019.09.005.
Le, N. Q. K., Yapp, E. K. Y., Nagasundaram, N., Chua, M. C. H., & Yeh, H. Y. (2019). Computational identification of vesicular transport proteins from sequences using deep gated recurrent units architecture. Computational and structural biotechnology journal, 171245-1254. https://doi.org/10.1016/j.csbj.2019.09.005
Le, Nguyen Quoc Khanh, et al. "Computational identification of vesicular transport proteins from sequences using deep gated recurrent units architecture." Computational and structural biotechnology journal vol. 17 (2019): 1245-1254. doi: https://doi.org/10.1016/j.csbj.2019.09.005
Le NQK, Yapp EKY, Nagasundaram N, Chua MCH, Yeh HY. Computational identification of vesicular transport proteins from sequences using deep gated recurrent units architecture. Comput Struct Biotechnol J. 2019 Oct 25;17:1245-1254. doi: 10.1016/j.csbj.2019.09.005. eCollection 2019. PMID: 31921391; PMCID: PMC6944713.
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Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database.

Cancers

Almeida N, Rodriguez J, Pla Parada I, Perez-Riverol Y, Woldmar N, Kim Y, Oskolas H, Betancourt L, Valdés JG, Sahlin KB, Pizzatti L, Szasz AM, Kárpáti S, Appelqvist R, Malm J, B Domont G, C S Nogueira F, Marko-Varga G, Sanchez A.
PMID: 34944842
Cancers (Basel). 2021 Dec 10;13(24). doi: 10.3390/cancers13246224.

Plasma analysis by mass spectrometry-based proteomics remains a challenge due to its large dynamic range of 10 orders in magnitude. We created a methodology for protein identification known as Wise MS Transfer (WiMT). Melanoma plasma samples from biobank archives...

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Almeida N, Rodriguez J, Pla Parada I, et al. Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database. Cancers (Basel). 2021;13(24)doi: 10.3390/cancers13246224.
Almeida, N., Rodriguez, J., Pla Parada, I., Perez-Riverol, Y., Woldmar, N., Kim, Y., Oskolas, H., Betancourt, L., Valdés, J. G., Sahlin, K. B., Pizzatti, L., Szasz, A. M., Kárpáti, S., Appelqvist, R., Malm, J., B Domont, G., C S Nogueira, F., Marko-Varga, G., & Sanchez, A. (2021). Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database. Cancers, 13(24), . https://doi.org/10.3390/cancers13246224
Almeida, Natália, et al. "Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database." Cancers vol. 13,24 (2021). doi: https://doi.org/10.3390/cancers13246224
Almeida N, Rodriguez J, Pla Parada I, Perez-Riverol Y, Woldmar N, Kim Y, Oskolas H, Betancourt L, Valdés JG, Sahlin KB, Pizzatti L, Szasz AM, Kárpáti S, Appelqvist R, Malm J, B Domont G, C S Nogueira F, Marko-Varga G, Sanchez A. Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database. Cancers (Basel). 2021 Dec 10;13(24). doi: 10.3390/cancers13246224. PMID: 34944842; PMCID: PMC8699267.
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Wistar rats: a forgotten model of age-related hearing loss.

Frontiers in aging neuroscience

Alvarado JC, Fuentes-Santamaría V, Gabaldón-Ull MC, Blanco JL, Juiz JM.
PMID: 24634657
Front Aging Neurosci. 2014 Mar 05;6:29. doi: 10.3389/fnagi.2014.00029. eCollection 2014.

Age-related hearing loss (ARHL) is one of the most frequent sensory impairments in senescence and is a source of important socio-economic consequences. Understanding the pathological responses that occur in the central auditory pathway of patients who suffer from this...

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Alvarado JC, Fuentes-Santamaría V, Gabaldón-Ull MC, et al. Wistar rats: a forgotten model of age-related hearing loss. Front Aging Neurosci. 2014;6:29doi: 10.3389/fnagi.2014.00029.
Alvarado, J. C., Fuentes-Santamaría, V., Gabaldón-Ull, M. C., Blanco, J. L., & Juiz, J. M. (2014). Wistar rats: a forgotten model of age-related hearing loss. Frontiers in aging neuroscience, 629. https://doi.org/10.3389/fnagi.2014.00029
Alvarado, Juan C, et al. "Wistar rats: a forgotten model of age-related hearing loss." Frontiers in aging neuroscience vol. 6 (2014): 29. doi: https://doi.org/10.3389/fnagi.2014.00029
Alvarado JC, Fuentes-Santamaría V, Gabaldón-Ull MC, Blanco JL, Juiz JM. Wistar rats: a forgotten model of age-related hearing loss. Front Aging Neurosci. 2014 Mar 05;6:29. doi: 10.3389/fnagi.2014.00029. eCollection 2014. PMID: 24634657; PMCID: PMC3942650.
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Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database.

Cancers

Almeida N, Rodriguez J, Pla Parada I, Perez-Riverol Y, Woldmar N, Kim Y, Oskolas H, Betancourt L, Valdés JG, Sahlin KB, Pizzatti L, Szasz AM, Kárpáti S, Appelqvist R, Malm J, B Domont G, C S Nogueira F, Marko-Varga G, Sanchez A.
PMID: 34944842
Cancers (Basel). 2021 Dec 10;13(24). doi: 10.3390/cancers13246224.

Plasma analysis by mass spectrometry-based proteomics remains a challenge due to its large dynamic range of 10 orders in magnitude. We created a methodology for protein identification known as Wise MS Transfer (WiMT). Melanoma plasma samples from biobank archives...

Cite
Almeida N, Rodriguez J, Pla Parada I, et al. Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database. Cancers (Basel). 2021;13(24)doi: 10.3390/cancers13246224.
Almeida, N., Rodriguez, J., Pla Parada, I., Perez-Riverol, Y., Woldmar, N., Kim, Y., Oskolas, H., Betancourt, L., Valdés, J. G., Sahlin, K. B., Pizzatti, L., Szasz, A. M., Kárpáti, S., Appelqvist, R., Malm, J., B Domont, G., C S Nogueira, F., Marko-Varga, G., & Sanchez, A. (2021). Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database. Cancers, 13(24), . https://doi.org/10.3390/cancers13246224
Almeida, Natália, et al. "Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database." Cancers vol. 13,24 (2021). doi: https://doi.org/10.3390/cancers13246224
Almeida N, Rodriguez J, Pla Parada I, Perez-Riverol Y, Woldmar N, Kim Y, Oskolas H, Betancourt L, Valdés JG, Sahlin KB, Pizzatti L, Szasz AM, Kárpáti S, Appelqvist R, Malm J, B Domont G, C S Nogueira F, Marko-Varga G, Sanchez A. Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database. Cancers (Basel). 2021 Dec 10;13(24). doi: 10.3390/cancers13246224. PMID: 34944842.
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Showing 1 to 6 of 6 entries