Biology subjects

Xue, C.

Publications and source records attributed to Xue, C..

58 records · Page 4Linked to original sources

bioRxiv2019

Human condensin I and II drive extensive ATP-dependent compaction of nucleosome-bound DNA

Structural maintenance of chromosomes (SMC) complexes are essential for genome organization from bacteria to humans, but their mechanisms of action remain poorly understood. Here, we characterize human SMC complexes condensin I and II and unveil the architecture of the human condensin II complex, revealing two putative DNA-binding sites. Using single-molecule imaging, we demonstrate that both condensin I and II exhibit ATP-dependent motor activity and promote extensive and reversible compaction of double-stranded DNA. Nucleosomes are incorporated into DNA loops during compaction without being displaced from the DNA, indicating that condensin complexes can readily act upon nucleosome fibers. These observations shed light on critical processes involved in genome organization in human cells.\n\nOne Sentence SummaryATP-dependent DNA compaction by human condensin complexes.

biochemistry↗

bioRxiv2019

Identification of pathogen genomic differences that impact human immune response and disease during Cryptococcus neoformans infection

Patient outcomes during infection are due to a complex interplay between the quality of medical care, host immunity factors, and the infecting pathogens characteristics. To probe the influence of pathogen genotype on human immune response and disease, we examined Cryptococcus neoformans isolates collected during the Cryptococcal Optimal ART Timing (COAT) trial in Uganda. We measured human participants immunologic phenotypes, meningitis disease parameters, and survival. We compared this clinical data to whole genome sequences from 38 C. neoformans isolates of the most frequently observed sequence type (ST) ST93 in our Ugandan participant population, and an additional 18 strains from 9 other sequence types representing the known genetic diversity within the Ugandan Cryptococcus clinical isolates. We focused our analyses on 652 polymorphisms that: were variable among the ST93 genomes, were not in centromeres or extreme telomeres, and were predicted to have a fitness effect. Logistic regression and principal component analyses identified 40 candidate Cryptococcus genes and 3 hypothetical RNAs associated with human immunologic response or clinical parameters. We infected mice with 17 available KN99 gene deletion strains for these candidate genes and found that 35% (6/17) directly influenced murine survival. Four of the six gene deletions that impacted murine survival were novel. Such bedside-to-bench translational research provides important candidate genes for future studies on virulence-associated traits in human Cryptococcus infections.\n\nAuthor SummaryEven with the best available care, mortality rates in cryptococcal meningitis range from 20-60%. Disease is often due to infection by the fungus Cryptococcus neoformans and involves a complex interaction between the human host and the fungal pathogen. Although previous studies have suggested genetic differences in the pathogen impact human disease, it has proven quite difficult to identify the specific C. neoformans genes that impact the outcome of the human infection. Here, we take advantage of a Ugandan patient cohort infected with closely related C. neoformans strains to examine to role of pathogen genetic variants on several human disease characteristics. Using a pathogen whole genome sequencing approach, we showed that 40 C. neoformans genes are associated with human disease. Surprisingly, many of these genes are specific to Cryptococcus and have unknown functions. We also show deletion of these genes alters disease in a mouse model of infection, confirming their role in disease. These findings are particularly important because they are the first to identify C. neoformans genes associated with human cryptococcal meningitis and lay the foundation for future studies that may lead to new treatment strategies aimed at reducing patient mortality.

genetics↗

bioRxiv2018

Estimating driver-tissues by robust selective expression of genes associated with complex diseases or traits

The driver tissues or cell-types of many human diseases, in which susceptibility genes cause the diseases, remain elusive. We developed a framework to detect the causal-tissues of complex diseases or traits according to selective expression of disease-associated genes in genome-wide association study (GWAS). The core method of the framework is a new robust z-score to estimate genes expression selectivity. Through extensive computing simulations and comparative analyses in a large-scale schizophrenia GWAS, we demonstrate the robust z-score is more sensitive than existing methods to detect multiple selectively expressed tissues, which further lead to the estimation of more biological sensible driver tissues. The effectiveness of this framework is further validated in five representative complex diseases with the usage of GWAS summary statistics and transcript-level expression in GTEx project. Finally, we also demonstrate that the prioritized tissues and the robust selective expression can enhance characterization of directly associated genes of a disease as well. Interesting results include the estimation of lung as a driver tissue of rheumatoid arthritis, consistent with clinical observations of morbidity between rheumatoid arthritis and lung diseases.

genetics↗

bioRxiv2018

The permeabilized SecY protein-translocation channel can serve as a nonspecific sugar transporter

As the initial step in carbohydrate catabolism in cells, the substrate-specific transporters via active transport and facilitated diffusion play a decisive role in passage of sugars through the plasma membrane into the cytoplasm. The SecY complex (SecYEG) in bacteria forms a membrane channel responsible for protein translocation. This work demonstrates that weakening the sealability of the SecY channel allowed free diffusion of sugars, including glucose, fructose, mannose, xylose, arabinose, and lactose, into the engineered cells, facilitating its rapid growth on a wide spectrum of monosaccharides and bypassing/reducing stereospecificity, transport saturation, competitive inhibition, and carbon catabolite repression (CCR), which are usually encountered with the specific sugar transporters. The SecY channel is structurally conserved in prokaryotes, thus it may be engineered to serve as a unique and universal transporter for bacteria to passage sugars as demonstrated in Escherichia coli and Clostridium acetobutylicum.

bioengineering↗