Biology subjects

Hu, J.-Y.

Publications and source records attributed to Hu, J.-Y..

3 recordsLinked to original sources

bioRxiv2020

A novel approach for assessing hypoperfusion in stroke using spatial independent component analysis of resting-state fMRI data

Individualized treatment of acute stroke depends on the timely detection of ischemia and potentially salvageable tissue in the brain. Using functional MRI (fMRI), it is possible to characterize cerebral blood flow from blood-oxygen-level-dependent (BOLD) signals without the administration of exogenous contrast agents. In this study, we applied spatial independent component analysis to resting-state fMRI data of 37 stroke patients scanned within 24 hours of symptom onset, 17 of whom received follow-up scans the next day. Our analysis revealed "Hypoperfusion spatially-Independent Components" (HICs) whose spatial patterns of BOLD signal resembled regions of delayed perfusion depicted by dynamic susceptibility contrast MRI. These HICs were detected even in the presence of excessive patient motion, and disappeared following successful tissue reperfusion. The unique spatial and temporal features of HICs allowed them to be distinguished with high accuracy from other components in a user-independent manner (AUC = 0.95, accuracy = 0.96, sensitivity = 1.00, specificity = 0.96). Our study therefore presents a new, non-invasive method for assessing blood flow in acute stroke that minimizes interpretative subjectivity and is robust to severe patient motion.

neuroscience↗

bioRxiv2020

Genomic hitchhiking with moisture adaptation patterns stem prickleless in rose

Prickles act against herbivores, pathogens or mechanical injury, while also prevent water loss. However, whether prickles have new function and the molecular genetics of prickle patterning remains poorly explored. Here, we generated a high-quality reference genome assembly for Basyes Thornless (BT), a prickle-free cultivar of Rosa wichuraiana, to identify genetic elements related to stem prickle development. The BT genome harbors a high level of sequence diversity in itself and between cultivar Old Blush (R. chinensis), a founder genotype in rose domestication. Inheritance of stem prickle density was determined and two QTL were identified. Differentially expressed genes in QTL were involved in water-related functions, suggesting that prickle density may hitchhike with adaptations to moist environments. While the prickle-related gene-regulatory-network (GRN) was highly conserved, the expression variation of key candidate genes was associated with prickle density. Our study provides fundamental resources and insights for genome evolution in the Rosaceae. Ongoing efforts on identification of the molecular bases for key rose traits may lead to the improvement of horticultural markets.

plant biology↗

bioRxiv2017

De novo assemblies of high-quality reference transcriptomes identifies Rosaceae-common and Rosa-specific encoding genes

Roses are important plants for human beings with important economical and biological traits like continuous flowering, flower architecture, color and scent, that current model plants do not feature, thus are becoming ideal models for studying these traits. Due to high heterozygosity of rose genomes likely caused by frequent inter-species hybridization, a high-quality and well-annotated genome for Rosa plants is not available yet. Developing genetic and genomic tools with high quality has become necessary for further roses breeding and for disentangling the molecular genetic mechanisms underlying roses domestication. We here generated the high quality and comprehensive reference transcriptomes for Rosa chinensis Old Blush (OB) and R. wichuriana Basyes Thornless (BT), two roses contrasting at several important traits. These reference transcriptomes showed transcripts N50 above 2000bp. The two species shared about 23310 transcripts (N50 = 2364bp), among which about 8975 orthologs were conserved within genera of Rosa. Rosa plants shared about 5049 transcripts (Rosaceae-common) with these from Malus, Prunus, Rubus, and Fragaria. Finally, a pool of 417 transcripts unique to Rosa plants (Rosa-specific) was identified. These Rosaceae-common and Rosa-specific transcripts should facilitate the phylogenetic analysis of Rosaceae plants and investigation of Rosa-specific traits. The data reported here should provide the fundamental genomic tools and knowledge critical for understanding the biology and domestication of roses.

plant biology↗