Impact of Mahatma Gandhi on the Life of Dr. Martin Luther King Junior

Mahatma Gandhi was one of the greatest freedom fighters of India who with his philosophy of nonviolent satyagraha and ahimsa shaped the freedom struggle of India. Prior to his odyssey in India he also lived in South Africa and witnessed racial discrimination against non-whites and Indian population. He stood up against injustice and racial oppression there and started non violent movement there and as an act of defiance against apartheid rule he formed the Natal Indian Congress in 1894 A.D..  He continued his struggle in South Africa from 1893 to 1914 and became the mass leader of South African Indian community. He returned to India in 1915 A.D. and joined the freedom struggle and within few years he became the face of the mass movement. Under his leadership not only educated and elite people joined the struggle for Indian independence but also the marginalized section of society like peasants, workers, and women played an active role. He was not only a freedom fighter but also a great social reformer. He raised his voice against the evils of casteism, untouchability, gender discrimination and advocated measures for their uplifting.  His struggle inspired many of his contemporaries around the world and his method of non-violence was seen as the most effective weapon to combat draconian laws all around the world. One of the people whom Gandhi influenced considerably was Martin Luther King Junior and he referred to Gandhi as “the little brown saint.” In this paper we will assess the struggles of Martin Luther and how Gandhi’s ideas helped him in combating the evils of racial discrimination and social injustice meted out to the people of color in America

Assessment of nicotine dependence in subjects with vascular dementia

Background: Nicotine dependence is an important public health issue. Nicotine dependence is a risk factor for vascular diseases like myocardial infarction and vascular dementia. The rate of nicotine dependence in Indian subjects with vascular dementia is not known. Hence we decided to assess nicotine dependence in subjects with vascular dementia.Methods: Nicotine dependence in subjects with vascular dementia was assessed among subjects presenting to memory clinic of a tertiary care hospital over a period of 16 months. Data regarding sociodemographic profile and severity of nicotine dependence as per Fagerstrom nicotine dependence scale for smoking and smokeless tobacco was analysed using SPSS version 17.Results: Our study shows that in 159 subjects with vascular dementia continuing nicotine dependence was seen in nearly 12% of the subjects. Though the rates are less than the population prevalence for India, it is still relevant as nicotine is not just a risk factor for development of vascular dementia but severe nicotine dependence and longer duration of nicotine use were found to be poor prognostic factors associated with severe dementia. Further as all subjects continued to be nicotine dependent despite having been advised to quit tobacco, suggesting the need for a more comprehensive tobacco cessation intervention be offered to subjects with vascular dementia to improve outcomes.Conclusion: In subjects with vascular dementia continuing nicotine dependence is an important risk factor which must be addressed.  

Primary Antiphospholipid Antibody Syndrome Presenting with Cortical Venous Sinus Thrombosis

No Abstract

Disordered proteins and network disorder in network descriptions of protein structure, dynamics and function. Hypotheses and a comprehensive review

During the last decade, network approaches became a powerful tool to describe protein structure and dynamics. Here we review the links between disordered proteins and the associated networks, and describe the consequences of local, mesoscopic and global network disorder on changes in protein structure and dynamics. We introduce a new classification of protein networks into ‘cumulus-type’, i.e., those similar to puffy (white) clouds, and ‘stratus-type’, i.e., those similar to flat, dense (dark) low-lying clouds, and relate these network types to protein disorder dynamics and to differences in energy transmission processes. In the first class, there is limited overlap between the modules, which implies higher rigidity of the individual units; there the conformational changes can be described by an ‘energy transfer’ mechanism. In the second class, the topology presents a compact structure with significant overlap between the modules; there the conformational changes can be described by ‘multi-trajectories’; that is, multiple highly populated pathways. We further propose that disordered protein regions evolved to help other protein segments reach ‘rarely visited’ but functionally-related states. We also show the role of disorder in ‘spatial games’ of amino acids; highlight the effects of intrinsically disordered proteins (IDPs) on cellular networks and list some possible studies linking protein disorder and protein structure networks

Female-biased expression of long non-coding RNAs in domains that escape X-inactivation in mouse

<p>Abstract</p> <p>Background</p> <p>Sexual dimorphism in brain gene expression has been recognized in several animal species. However, the relevant regulatory mechanisms remain poorly understood. To investigate whether sex-biased gene expression in mammalian brain is globally regulated or locally regulated in diverse brain structures, and to study the genomic organisation of brain-expressed sex-biased genes, we performed a large scale gene expression analysis of distinct brain regions in adult male and female mice.</p> <p>Results</p> <p>This study revealed spatial specificity in sex-biased transcription in the mouse brain, and identified 173 sex-biased genes in the striatum; 19 in the neocortex; 12 in the hippocampus and 31 in the eye. Genes located on sex chromosomes were consistently over-represented in all brain regions. Analysis on a subset of genes with sex-bias in more than one tissue revealed Y-encoded male-biased transcripts and X-encoded female-biased transcripts known to escape X-inactivation. In addition, we identified novel coding and non-coding X-linked genes with female-biased expression in multiple tissues. Interestingly, the chromosomal positions of all of the female-biased non-coding genes are in close proximity to protein-coding genes that escape X-inactivation. This defines X-chromosome domains each of which contains a coding and a non-coding female-biased gene. Lack of repressive chromatin marks in non-coding transcribed loci supports the possibility that they escape X-inactivation. Moreover, RNA-DNA combined FISH experiments confirmed the biallelic expression of one such novel domain.</p> <p>Conclusion</p> <p>This study demonstrated that the amount of genes with sex-biased expression varies between individual brain regions in mouse. The sex-biased genes identified are localized on many chromosomes. At the same time, sexually dimorphic gene expression that is common to several parts of the brain is mostly restricted to the sex chromosomes. Moreover, the study uncovered multiple female-biased non-coding genes that are non-randomly co-localized on the X-chromosome with protein-coding genes that escape X-inactivation. This raises the possibility that expression of long non-coding RNAs may play a role in modulating gene expression in domains that escape X-inactivation in mouse.</p

The bovine lactation genome: insights into the evolution of mammalian milk

Comparison of milk protein and mammary genes in the bovine genome with those from other mammals gives insights into the evolution of lactation

Association of SUMOlation Pathway Genes With Stroke in a Genome-wide Association Study in India

OBJECTIVE: To undertake a genome-wide association study (GWAS) to identify genetic variants for stroke in an Indian population. METHODS: In a hospital-based case-control study, 8 teaching hospitals in India recruited 4,088 participants, including 1,609 stroke cases. Imputed genetic variants were tested for association with stroke subtypes using both single-marker and gene-based tests. Association with vascular risk factors was performed with logistic regression. Various databases were searched for replication, functional annotation, and association with related traits. Status of candidate genes previously reported in the Indian population was also checked. RESULTS: Associations of vascular risk factors with stroke were similar to previous reports and show modifiable risk factors such as hypertension, smoking, and alcohol consumption as having the highest effect. Single-marker–based association revealed 2 loci for cardioembolic stroke (1p21 and 16q24), 2 for small vessel disease stroke (3p26 and 16p13), and 4 for hemorrhagic stroke (3q24, 5q33, 6q13, and 19q13) at p < 5 × 10(−8). The index single nucleotide polymorphism of 1p21 is an expression quantitative trait locus (p(lowest) = 1.74 × 10(−58)) for RWDD3 involved in SUMOylation and is associated with platelet distribution width (1.15 × 10(−9)) and 18-carbon fatty acid metabolism (p = 7.36 × 10(−12)). In gene-based analysis, we identified 3 genes (SLC17A2, FAM73A, and OR52L1) at p < 2.7 × 10(−6). Eleven of 32 candidate gene loci studied in an Indian population replicated (p < 0.05), and 21 of 32 loci identified through previous GWAS replicated according to directionality of effect. CONCLUSIONS: This GWAS of stroke in an Indian population identified novel loci and replicated previously known loci. Genetic variants in the SUMOylation pathway, which has been implicated in brain ischemia, were identified for association with stroke

Suppression subtractive hybridization coupled with microarray analysis to examine differential expression of genes in virus infected cells

High throughput detection of differential expression of genes is an efficient means of identifying genes and pathways that may play a role in biological systems under certain experimental conditions. There exist a variety of approaches that could be used to identify groups of genes that change in expression in response to a particular stimulus or environment. We here describe the application of suppression subtractive hybridization (SSH) coupled with cDNA microarray analysis for isolation and identification of chicken transcripts that change in expression on infection of host cells with a paramyxovirus. SSH was used for initial isolation of differentially expressed transcripts, a large-scale validation of which was accomplished by microarray analysis. The data reveals a large group of regulated genes constituting many biochemical pathways that could serve as targets for future investigations to explore their role in paramyxovirus pathogenesis. The detailed methods described herein could be useful and adaptable to any biological system for studying changes in gene expression