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Gao, B.

Publications and source records attributed to Gao, B..

4 recordsLinked to original sources

Alternative splicing and translation play important roles in parallel with transcriptional regulation during rice hypoxic germination

Post-transcriptional mechanisms, including alternative splicing (AS) and alternative translation initiation (ATI), have been used to explain the protein diversity involved in plant developmental processes and stress responses. Rice germination under hypoxia conditions is a classical model system for the study of low oxygen stress. It is known that there is transcriptional regulation during rice hypoxic germination, but the potential roles of AS and ATI in this process are not well understood. In this study, a proteogenomic approach was used to integrate the data from RNA sequencing, qualitative and quantitative proteomics to discover new players or pathways in the response to hypoxia stress. The improved analytical pipeline of proteogenomics led to the identification of 10,253 intron-containing genes, 1,729 of which were not present in the current annotation. Approximately 1,741 differentially expressed AS (DAS) events from 811 genes were identified in hypoxia-treated seeds in comparison to controls. Over 95% of these were not present in the list of differentially expressed genes (DEG). In particular, regulatory pathways such as spliceosome, ribosome, ER protein processing and export, proteasome, phagosome, oxidative phosphorylation and mRNA surveillance showed substantial AS changes under hypoxia, suggesting that AS responses are largely independent of traditional transcriptional regulation. Massive AS changes were identified, including the preference usage of certain non-conventional splice sites and enrichment of splicing factors in the DAS datasets. In addition, using self-constructed protein libraries by 6-frame translation, thousands of novel proteins/peptides contributed by ATI were identified. In summary, these results provide deeper insights towards understanding the underlying mechanisms of AS and ATI during rice hypoxic germination.

plant biology

Long-read sequencing identified a causal structural variant in an exome-negative case and enabled preimplantation genetic diagnosis

For a proportion of individuals judged clinically to have a recessive Mendelian disease, only one pathogenic variant can be found from clinical whole exome sequencing (WES), posing a challenge to genetic diagnosis and genetic counseling. Here we describe a case study, where WES identified only one pathogenic variant for an individual suspected to have glycogen storage disease type Ia (GSD-Ia), which is an autosomal recessive disease caused by bi-allelic mutations in the G6PC gene. Through Nanopore long-read whole-genome sequencing, we identified a 7kb deletion covering two exons on the other allele, suggesting that complex structural variants (SVs) may explain a fraction of cases when the second pathogenic allele is missing from WES on recessive diseases. Both breakpoints of the deletion are within Alu elements, and we designed Sanger sequencing and quantitative PCR assays based on the breakpoints for preimplantation genetic diagnosis (PGD) for the family planning on another child. Four embryos were obtained after in vitro fertilization (IVF), and an embryo without deletion in G6PC was transplanted after PGD and was confirmed by prenatal diagnosis, postnatal diagnosis, and subsequent lack of disease symptoms after birth. In summary, we present one of the first examples of using long-read sequencing to identify causal yet complex SVs in exome-negative patients, which subsequently enabled successful personalized PGD.

genetics

segment_liftover: a Python tool to convert segments between genome assemblies

The process of assembling a species reference genome may be performed in a number of iterations, with subsequent genome assemblies differing in the coordinates of mapped elements. The conversion of genome coordinates between different assemblies is required for many integrative and comparative studies. While currently a number of bioinformatics tools are available to accomplish this task, most of them are tailored towards the conversion of single genome coordinates. When converting the boundary positions of segments spanning larger genome regions, segments may be mapped into smaller subsegments if the original segments continuity is disrupted in the target assembly. Such a conversion may lead to a relevant degree of data loss in some circumstances such as copy number variation (CNV) analysis, where the quantitative representation of a genomic region takes precedence over base-specific accuracy. segment_liftover aims at continuity-preserving remapping of genome segments between assemblies and provides features such as approximate locus conversion, automated batch processing and comprehensive logging to facilitate processing of datasets containing large numbers of structural genome variation data.

bioinformatics

Power spectrum slope and motor function recovery after focal cerebral ischemia in the rat

EEG changes across vigilance states have been observed after ischemic stroke in patients and experimental stroke models, but their relation to functional recovery remains unclear. Here, we evaluate motor function, as measured by single pellet reaching (SPR), as well as local EEG changes in NREM, REM and wakefulness during a 30-day recovery period after middle cerebral artery occlusion (MCAO) or sham surgery in rats. Small cortical infarcts resulted in poor SPR performance and induced widespread changes in EEG spectra in the ipsilesional hemisphere in all vigilance states, without causing major changes in sleep-wake architecture. Ipsilesional 1-4 Hz power was increased after stroke, whereas power in higher frequencies was reduced, resulting in a steeper slope of the power spectrum. Multielectrode array analysis of ipsilesional M1 showed that these spectral changes were present on the microelectrode level throughout M1 and were not related to increased synchronization between electrodes. Spectrum slope was significantly correlated with post-stroke motor function.

neuroscience