Balance between synaptic versus extrasynaptic NMDA receptor activity influences inclusions and neurotoxicity of mutant huntingtin
…, M Talantova, D Yao, P Xia, DE Ehrnhoefer, R Zaidi… - Nature medicine, 2009 - nature.com
Huntington's disease is caused by an expanded CAG repeat in the gene encoding huntingtin
(HTT), resulting in loss of striatal and cortical neurons. Given that the gene product is …
(HTT), resulting in loss of striatal and cortical neurons. Given that the gene product is …
[HTML][HTML] Transcriptional profiling of MEF2-regulated genes in human neural progenitor cells derived from embryonic stem cells
SF Chan, X Huang, SR McKercher, R Zaidi, S Okamoto… - Genomics Data, 2015 - Elsevier
The myocyte enhancer factor 2 (MEF2) family of transcription factors is highly expressed in
the brain and constitutes a key determinant of neuronal survival, differentiation, and synaptic …
the brain and constitutes a key determinant of neuronal survival, differentiation, and synaptic …
ATM-dependent phosphorylation of MEF2D promotes neuronal survival after DNA damage
…, S Sances, LM Brill, S Okamoto, R Zaidi… - Journal of …, 2014 - Soc Neuroscience
Mutations in the ataxia telangiectasia mutated (ATM) gene, which encodes a kinase critical
for the normal DNA damage response, cause the neurodegenerative disorder ataxia-…
for the normal DNA damage response, cause the neurodegenerative disorder ataxia-…
Isobaric tagging-based quantification by mass spectrometry of differentially regulated proteins in synaptosomes of HIV/gp120 transgenic mice: implications for HIV …
…, S Okamoto, F Haun, R Nikzad, R Zaidi… - Experimental …, 2012 - Elsevier
HIV/gp120 transgenic mice manifest neuropathological features similar to HIV-associated
neurocognitive disorders (HAND) in humans, including astrogliosis, microglia activation, and …
neurocognitive disorders (HAND) in humans, including astrogliosis, microglia activation, and …
Developing Scientific Institutions in Mexico: The Non-Profit Organization Feasibility Report
R Zaidi - 2019 - csusm-dspace.calstate.edu
The goal of this Semester-In-Residence Project was to continue the business plan
presented by Mahva Naghipor and Robert Iddings. Market research was to be conducted by …
presented by Mahva Naghipor and Robert Iddings. Market research was to be conducted by …
[PDF][PDF] Intelligent load management scheme for a residential community in smart grids network using FEDRP
In the framework of liberalized deregulated electricity market, dynamic competitive environment
exists between wholesale and retail dealers for energy supplying and management. …
exists between wholesale and retail dealers for energy supplying and management. …
[HTML][HTML] Removal of congo red from water by adsorption onto activated carbon derived from waste black cardamom peels and machine learning modeling
The present work utilizes waste black cardamom (BC) as an inexpensive and environmentally
friendly adsorbent for sequestering the Congo Red (CR) dye from aqueous media for the …
friendly adsorbent for sequestering the Congo Red (CR) dye from aqueous media for the …
A comprehensive investigation of external mass transfer and intraparticle diffusion for batch and continuous adsorption of heavy metals using pore volume and surface …
Separation of heavy metals from water bodies is a need of hour, to protect human kind, marine
life, and the environment. In this context, adsorptive separation of heavy metal over cheap …
life, and the environment. In this context, adsorptive separation of heavy metal over cheap …
Support vector regression-based model for phenol adsorption in rotating packed bed adsorber
The excessive strength of phenol present in industrial wastewater is a major issue of concern
to be looked upon. Among the pollutant removal techniques, a novel robust device, the …
to be looked upon. Among the pollutant removal techniques, a novel robust device, the …
[HTML][HTML] Novel Machine Learning (ML) models for predicting the performance of multi-metal binding green adsorbent for the removal of Cd (II), Cu (II), Pb (II) and Zn (II) …
The present work embodies the implementation of Machine Learning (ML) techniques to
predict the adsorption breakthrough curves of four heavy metals (Cd, Cu, Pb and Zn) over low …
predict the adsorption breakthrough curves of four heavy metals (Cd, Cu, Pb and Zn) over low …