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Pandey, A.

Publications and source records attributed to Pandey, A..

6 recordsLinked to original sources

Why do phylogenomic analyses of early animal evolution continue to disagree? Sites in different structural environments yield different answers

Phylogenomics has revolutionized the study of evolutionary relationships. However, genome-scale data have not been able to resolve all relationships in the tree of life. This could reflect the poor-fit of the models used to analyze heterogeneous datasets; that heterogeneity is likely to have many explanations. However, it seems reasonable to hypothesize that the different patterns of selection on proteins based on their structures might represent a source of heterogeneity. To test that hypothesis, we developed an efficient pipeline to divide phylogenomic datasets that comprise proteins into subsets based on secondary structure and relative solvent accessibility. We then tested whether amino acids in different structural environments had different signals for the deepest branches in the metazoan tree of life. Sites located in different structural environments did support distinct tree topologies. The most striking difference in phylogenetic signal reflected relative solvent accessibility; analyses of sites on the surface of proteins yielded a tree that placed ctenophores sister to all other animals whereas sites buried inside proteins yielded a tree with a sponge-ctenophore clade. These differences in phylogenetic signal were not ameliorated when we repeated our analyses using the site-heterogeneous CAT model, a mixture model that is often used for analyses of protein datasets. In fact, analyses using the CAT model actually resulted in rearrangements that are unlikely to represent evolutionary history. These results provide striking evidence that it will be necessary to achieve a better understanding the constraints due to protein structure to improve phylogenetic estimation.

evolutionary biology

Opposing Roles of the Fork-head box genes FoxM1 and FoxA2 in Hepatocellular Carcinoma

The fork-head box transcription factor FoxMl is essential for hepatocellular carcinoma (HCC) development and its overexpression coincides with poor prognosis. Here, we show that the mechanisms by which FoxM1 drives HCC progression involve overcoming the inhibitory effects of the liver differentiation gene FoxA2. First, the expression patterns of FoxM1 and FoxA2 in human HCC are opposite. We show that FoxM1 represses expression of FoxA2 in G1 phase, a phase in the cell cycle in which cells can undergo differentiation. Repression of FoxA2 in G1 phase is important, as it is capable of inhibiting expression of the pluripotency genes that are expressed mainly in S/G2 phases. Using a transgenic mouse model for oncogenic Ras-driven HCC, we provide genetic evidence for a repression of FoxA2 by FoxM1. Conversely, FoxA2 inhibits expression of FoxM1, and inhibits FoxM1-induced tumorigenicity of HCC cells. Moreover, expression of FoxA2 in mouse liver expressing activated Ras inhibits FoxM1 expression and inhibits HCC progression. The observations provide strong genetic evidence for an opposing role of FoxM1 and FoxA2 in HCC progression.\n\nAUTHOR SUMMARYLiver cancer remains untreatable because it is diagnosed at a stage when the cancer is aggressive and resistant to therapeutics. The mechanism that drives aggressive liver cancer is poorly understood. These cancers are made up of poorly differentiated cancer cells. Interestingly, the FoxM1 gene is overexpressed in the aggressive liver cancers. Although FoxM1 is important for expression of the proliferation genes, it does not explain why it is overexpressed mainly in the undifferentiated cancers. The current study addresses this puzzle. Our previous studies demonstrated that FoxM1 increases expression of the pluripotency genes that are expressed mainly in the stem-like cells. In the current manuscript we show that, in addition to activating the pluripotency genes, FoxM1 inhibits expression of the liver differentiation gene FoxA2. Overexpression of FoxM1 is important for this inhibition function, as it involves the retinoblastoma family of proteins, which are often inactivated in cancer cells, and thus, are of low-abundance. Moreover, the inhibition of FoxA2 is significant because FoxA2 could inhibit expression of the pluripotency genes as well as FoxM1. The observations provide new insights into how FoxM1 drives progression of aggressive liver cancer.

cancer biology

Rapid Eye Movement sleep deprivation of rat generates ROS in the hepatocytes and make them more susceptible to oxidative stress

BackgroundRapid Eye Movement sleep deprivation (REMSD) of rats causes inflammation of the liver and apoptotic cell death of neurons and hepatocytes. Studies also suggest that REMSD are involved with muscle injury, cardiac injury and neurodegerative diseases.\n\nObjective and methodsThe aim of this research was to determine whether REMSD of rats would generate reactive oxygen species (ROS) and create oxidative stress in the hepatocytes. We selectively deprived the rats from REM sleep using the standard flower pot method.\n\nResultsWe observed that when rats were subjected to REMSD, the levels of ROS in the hepatocytes increased with the increase in the number of days of REMSD by [~]265%, but it returned towards normal levels after recovery sleep for 5 days ([~]36%) compared to controls. Nitric oxide synthase (iNOS) gene and protein was found elevated in hepatocytes in response to REM sleep loss as confirmed by real time PCR and western blot analysis compared to controls. The level of nitric oxide (NO) also increased by [~] 675% in the hepatocytes of REMSD rats as compared to that of control group of animals.\n\nDiscussionWe have analyzed the oxidative stress generated and potentiation of hepatocytes against oxidative stress in response to REMSD. Since, REM sleep is known to play an important role for survival of most animals and has important role in maintenance of body physiology. Hence, our findings that loss of REM sleep in hepatocytes of rats can affect the ROS levels and induce iNOS & NO circulation, while making them more susceptible to oxidative stress assumes significance.\n\nHighlights of the studyO_LIWe observed elevated levels of ROS in the hepatocytes of REM sleep deprived rats.\nC_LIO_LIThe hepatocytes of REMSD group of rats were found more susceptible to oxidative stress than that of control groups.\nC_LIO_LIWe found increased expression of iNOS gene and nitric oxide synthase protein in the hepatocytes of REMSD rats.\nC_LIO_LIWe observed that nitric oxide levels in the hepatocytes of REM sleep deprived rats increased positively with days of REMSD, but returned to its normal levels after 5 days of recovery sleep.\nC_LI

molecular biology

Rapid eye movement sleep deprivation causes apoptotic cell-death of the hepatocytes in rat

IntroductionThe rapid eye movement sleep deprivation (REMSD) of rats relates with increased inflammations, acute phase response, oxidative damage, neuronal cell loss, and neurodegenerative diseases. Whereas, its role outside brain are not well studied. This study tried to explore the causal effect of REM sleep loss on hepatocytes.\n\nMethodsWe deprived the rats of REM sleep using standard flower pot method. We focused on liver to see the REMSD affects which controls most of the metabolic processes of the body.\n\nResultsWe report here that flower pot induced REMSD causes apoptotic cell death of hepatocytes (~10% by Annexin Assay & ~20% by TUNEL assay). This were further got alleviated up to extent after sleep recovery of 5 days (recovered approximately 8.0% by Annexin Assay & 14% by TUNEL assay). The gene expression and protein level profiling revealed the up-regulation of p53, Bax, Cytochrome c, Caspase 3, and Caspase 9. While, Bcl2 which is an anti-apoptotic protein were down-regulated in response to REMSD. Relentless recovery of 5 days affected the expression pattern of these genes/proteins.\n\nConclusionsOur study offer great pathological and physiological significance for sleep loss, by inferring the apoptotic cell-death in the hepatocytes of rat. This further signifies the functional and preventive role of REM sleep which is unique to mammals and avians with certain exceptions, as its loss can affect the natural well-being and survival of the individuals.\n\nHighlights of the studyO_LIWe observed significant apoptosis in the hepatocytes of REMSD group of rats.\nC_LIO_LIOur expression analysis confirmed altered expression for genes p53, Bcl2, Bax, and Caspase-3 after REMSD.\nC_LIO_LIProtein level analysis supported our gene expression results for p53, Bcl2, Bax, Caspase 3 and Caspase 9 after REMSD.\nC_LIO_LISleep recovery improved the respective genes and protein expression levels towards normalcy, signifying the functional role of REM sleep.\nC_LI

molecular biology

Thousands of large-scale RNA sequencing experiments yield a comprehensive new human gene list and reveal extensive transcriptional noise

We assembled the sequences from 9,795 RNA sequencing experiments, collected from 31 human tissues and hundreds of subjects as part of the GTEx project, to create a new, comprehensive catalog of human genes and transcripts. The new human gene database contains 43,162 genes, of which 21,306 are protein-coding and 21,856 are noncoding, and a total of 323,824 transcripts, for an average of 7.5 transcripts per gene. Our expanded gene list includes 4,998 novel genes (1,178 coding and 3,819 noncoding) and 97,511 novel splice variants of protein-coding genes as compared to the most recent human gene catalogs. We detected over 30 million additional transcripts at more than 650,000 sites, nearly all of which are likely to be nonfunctional, revealing a heretofore unappreciated amount of transcriptional noise in human cells.

genomics

Towards the human cellular microRNAome

microRNAs are short RNAs that serve as master regulators of gene expression and are essential components of normal development as well as modulators of disease. MicroRNAs generally act cell autonomously and thus their localization to specific cell types is needed to guide our understanding of microRNA activity. Current tissue-level data has caused considerable confusion and comprehensive cell-level data does not yet exist. Here we establish the landscape of human cell-specific microRNA expression. This project evaluated 8 billion small RNA-seq reads from 46 primary cell types, 42 cancer or immortalized cell lines, and 26 tissues. It identified both specific and ubiquitous patterns of expression that strongly correlate with adjacent super-enhancer activity. Analysis of unaligned RNA reads uncovered 207 unknown minor strand (passenger) microRNAs of known microRNA loci and 2,632 novel putative microRNA loci. Although cancer cell lines generally recapitulated the expression patterns of matched primary cells, their isomiR sequence families exhibited increased disorder suggesting Drosha and Dicer-dependent microRNA processing variability. Cell-specific patterns of microRNA expression were used to deconvolute variable cellular composition of adipose tissue samples highlighting one use of this cell-specific microRNA expression data. Characterization of cellular microRNA expression across a wide variety of cell types provides a new understanding of this critical regulatory RNA species.

genomics