Biology subjects

Hur, J.

Publications and source records attributed to Hur, J..

5 recordsLinked to original sources

bioRxiv2018

Seed Genome Hypomethylated Regions Are Enriched In Transcription Factor Genes

The precise mechanisms that control gene activity during seed development remain largely unknown. Previously, we showed that several genes essential for seed development, including those encoding storage proteins, fatty acid biosynthesis enzymes, and transcriptional regulators, such as ABI3 and FUS3, are located within hypomethylated regions of the soybean genome. These hypomethylated regions are similar to the DNA methylation valleys (DMVs), or canyons, found in mammalian cells. Here, we address the question of the extent to which DMVs are present within seed genomes, and what role they might play in seed development. We scanned soybean and Arabidopsis seed genomes from post-fertilization through dormancy and germination for regions that contain < 5% or < 0.4% bulk methylation in CG-, CHG-, and CHH-contexts over all developmental stages. We found that DMVs represent extensive portions of seed genomes, range in size from 5 to 76 kb, are scattered throughout all chromosomes, and are hypomethylated throughout the plant life cycle. Significantly, DMVs are enriched greatly in transcription factor genes, and other developmental genes, that play critical roles in seed formation. Many DMV genes are regulated with respect to seed stage, region, and tissue - and contain H3K4me3, H3K27me3, or bivalent marks that fluctuate during development. Our results indicate that DMVs are a unique regulatory feature of both plant and animal genomes, and that a large number of seed genes are regulated in the absence of methylation changes during development - probably by the action of specific transcription factors and epigenetic events at the chromatin level.\n\nSignificanceWe scanned soybean and Arabidopsis seed genomes for hypomethylated regions, or DNA Methylation Valleys (DMVs), present in mammalian cells. A significant fraction of seed genomes contain DMV regions that have < 5% bulk DNA methylation, or, in many cases, no detectable DNA methylation. Methylation levels of seed DMVs do not vary detectably during seed development with respect to time, region, and tissue, and are present prior to fertilization. Seed DMVs are enriched in transcription factor genes and other genes critical for seed development, and are also decorated with histone marks that fluctuate with developmental stage, resembling in significant ways their animal counterparts. We conclude that many genes playing important roles in seed formation are regulated in the absence of detectable DNA methylation events, and suggest that selective action of transcriptional activators and repressors, as well as chromatin epigenetic events play important roles in making a seed - particularly embryo formation.

plant biology↗

bioRxiv2018

Identification of Casiopeina II-gly secondary targets through a systems pharmacology approach

Casiopeinas are a group of copper-based compounds designed to be used as less toxic, more efficient chemotherapeutic agents. In this study, we analyzed the in vitro effects of Casiopeina Il-gly on the expression of canonical biological pathways. Using microarray data from HeLa cell lines treated with Casiopeina II-gly, we identified biological pathways that are perturbed after treatment. We present a novel approach integrating pathway analysis and network theory: The Pathway Crosstalk Network. We constructed a network with deregulated pathways, featuring links between those pathways that crosstalk with each other. We identified modules grouping deregulated pathways that are functionally related. Through this approach, we were able to identify three features of Casiopeina treatment: a) Perturbation of signaling pathways, related to induction of apoptosis; b) perturbation of metabolic pathways, and c) activation of immune responses. These findings can be useful to drive new experimental exploration on their role in adverse effects and efficacy of Casiopeinas.

systems biology↗

bioRxiv2018

Acute alcohol administration dampens threat-related activation in the central extended amygdala

Alcohol abuse is common, imposes a staggering burden on public health, and is challenging to treat, underscoring the need to develop a deeper understanding of the underlying neurobiology. When administered acutely, ethyl alcohol reduces threat reactivity in humans and other animals, and there is growing evidence that threat-dampening and related negative reinforcement mechanisms support the etiology and recurrence of alcohol and other kinds of substance misuse. Converging lines of evidence motivate the hypothesis that these effects are mediated by the central extended amygdala (EAc)--including the central nucleus of the amygdala (Ce) and bed nucleus of the stria terminalis (BST)--but the relevance of this circuitry to acute alcohol effects in humans remains poorly understood. Using a single-blind, randomized-groups design, multiband imaging data were acquired from 49 social drinkers while they performed an fMRI-optimized emotional-faces/places paradigm after consuming alcohol or placebo. Relative to placebo, alcohol significantly dampened reactivity to threat-related emotional faces in the BST. To rigorously assess potential regional differences in activation, data were extracted from anatomically defined Ce and BST regions-of-interest. Analyses revealed a similar pattern of dampening across the two regions. In short, alcohol acutely dampens reactivity to threat-related faces in humans and it does so similarly across the two major divisions of the EAc. These observations provide a framework for understanding the translational relevance of addiction models derived from work in rodents, inform on-going debates about the functional organization of the EAc, and set the stage for bi-directional translational models aimed at developing improved treatment strategies for alcohol abuse and other addictions.

neuroscience↗

bioRxiv2018

The Impact of Spatial Normalization for Functional Magnetic Resonance Imaging Data Analyses Revisited

Spatial normalization--the process of aligning anatomical or functional data acquired from different individuals to a common stereotaxic atlas--is routinely used in the vast majority of functional neuroimaging studies, with important consequences for scientific inference and reproducibility. Although several approaches exist, multi-step techniques that leverage the superior contrast and spatial resolution afforded by T1-weighted anatomical images to normalize echo planar imaging (EPI) functional data acquired from the same individuals (T1EPI) is now standard. Yet, recent work suggests that direct alignment of functional data to a T2*-weighted template without recourse to an anatomical image--an EPI only (EPIO) approach--enhances normalization precision. This counterintuitive claim is intriguing, suggesting that a change in standard practices may be warranted. Here, we re-visit these conclusions, extending prior work to encompass newly developed measures of normalization precision, accuracy, and real-world statistical performance for the standard EPIO and T1EPI pipelines implemented in SPM12, a recently developed variant of the EPIO pipeline, and a novel T1EPI pipeline incorporating best practice tools from multiple software packages. The multi-tool T1EPI pipeline was consistently the most precise, most accurate, and resulted in the largest t values at the group level, in some cases dramatically so. The three SPM-based pipelines exhibited more modest and variable differences in performance relative to each another, with the widely used T1EPI pipeline showing the second best overall precision and accuracy, and the recently developed EPIO pipeline generally showing the poorest overall performance. The results demonstrate that standard pipelines can be easily improved and we encourage researchers to invest the resources necessary to do so. The multi-tool pipeline presented here provides a framework for doing so. In addition, the novel performance metrics described here should prove useful for reporting and validating future methods for pre-processing functional neuroimaging data.

neuroscience↗

bioRxiv2016

Melittin-induced alterations in morphology and deformability of human red blood cells using quantitative phase imaging techniques

Here, the actions of melittin, the active molecule of apitoxin or bee venom, were investigated on human red blood cells (RBCs) using quantitative phase imaging techniques. High-resolution realtime 3-D refractive index (RI) measurements and dynamic 2-D phase images of individual melittin-bound RBCs enabled in-depth examination of melittin-induced biophysical alterations of the cells. From the measurements, morphological, biochemical, and mechanical alterations of the RBCs were analyzed quantitatively. Furthermore, leakage of haemoglobin (Hb) inside the RBCs at high melittin concentration was also investigated.

biophysics↗