Biology subjects

Quach, H.

Publications and source records attributed to Quach, H..

6 recordsLinked to original sources

bioRxiv2026

A simple and efficient CTAB plate-based protocol for genomic DNA extraction from crop plants

Modern plant breeding and molecular genetics rely on genotyping large populations for applications such as genome editing and genomic selection. However, current DNA extraction methods often require expensive equipment or signif-icant manual labor, which limits their scalability. The objective of this study was to develop a scalable, cost-effective DNA extraction method. A bead-beating protocol was used to homogenize small amounts of leaf tissue from Arabidopsis, camelina, maize, sorghum, soybean, tobacco, and wheat, as well as developing soybean seeds. Samples were processed in 96-well plates using a standard CTAB (cetyltrimethylammonium bromide)-based extraction solution. DNA concentration was measured, and DNA quality was estimated using the A260/A280 and A260/A230 ratios and gel electrophoresis. The extracted DNA was then used for PCR assays to amplify targeted endogenous sequences, detect Cas9-edited sequences, and estimate gene copy numbers. This workflow enabled a single worker to process up to 960 samples per day. The total DNA yield was 2-3 {micro}g for leaf and 0.5-1 {micro}g for soybean seeds with good quality, which was sufficient for multiple PCR reactions. The DNA was successfully used for the intended PCR assays. The extracted DNA was suitable for reliable, downstream PCR-based genotyping. This method supports diverse analyses, including routine amplification, identification of genome edits, and copy number analysis.

plant biology↗

bioRxiv2021

Modeling lung cell development using human pluripotent stem cells

Human pluripotent stem cells (hPSC) differentiations can capture developmental phenotypes and processes. They are useful for studying fundamental biological mechanisms driving tissue morphogenesis and cell lineage development. Here, we show temporal development of lung cell lineages using hPSC that recapitulate developmental milestones observed in primary tissue, the generation of renewable fetal lung epithelial spheroids, and the functional utility of the lung models at different differentiation stages for cystic fibrosis disease modeling. We first show the presence of hPSC-derived lung progenitor cells reminiscent of early trimester lung development and containing basal stem cells that generate renewable airway spheroids. Maturation and polarization in air liquid interface (ALI) generates additional epithelial cell lineages found in adult airways, including pulmonary neuroendocrine, brush, mature basal, ciliated and secretory cell types. Finally, pseudotime and RNA velocity analyses of the integrated datasets from fetal and ALI stages reveal both previously identified and new cell lineage relationships. Overall, hPSC differentiation can capture aspects of human lung development and potentially provide important insight into congenital causes of diseases.

developmental biology↗

bioRxiv2020

Basal Expression of Interferon-Stimulated Genes Drives Population Differences in Monocyte Susceptibility to Influenza Infection

There is considerable inter-individual and inter-population variability in response to viruses. The potential of monocytes to elicit type-I interferon responses has attracted attention to their role in viral infections. Here, we use an ex vivo model to characterize the role of cellular heterogeneity in human variation of monocyte responses to influenza A virus (IAV) exposure. Using single-cell RNA-sequencing, we show widespread inter-individual variability in the percentage of IAV-infected monocytes. We show that cells escaping viral infection display increased mRNA expression of type-I interferon stimulated genes and decreased expression of ribosomal genes, relative to both infected cells and those never exposed to IAV. While this host defense strategy is shared between CD16+/CD16- monocytes, we also uncover CD16+-specific mRNA expression of IL6 and TNF in response to IAV, and a stronger resistance of CD16+ monocytes to IAV infection. Notably, individuals with high cellular susceptibility to IAV are characterized by a lower activation at basal state of an IRF/STAT-induced transcriptional network, which includes antiviral genes such as IFITM3, MX1, and OAS3. Finally, using flow cytometry and bulk RNA-sequencing across 200 individuals of African and European ancestry, we observe a higher number of CD16+ monocytes and lower susceptibility to IAV infection among monocytes from individuals of African-descent. Collectively, our results reveal the effects of IAV infection on the transcriptional landscape of human monocytes and highlight previously unappreciated differences in cellular susceptibility to IAV infection between individuals of African and European ancestry, which may account for the greater susceptibility of Africans to severe influenza. Significance StatementMonocytes may play a critical role during severe viral infections. Our study tackles how heterogeneity in monocyte subsets and activation contributes to shape individual differences in the transcriptional response to viral infections. Using single-cell RNA-sequencing, we reveal heterogeneity in monocyte susceptibility to IAV infection, both between CD16+/CD16- monocytes and across individuals, driven by differences in basal activation of an IRF/STAT-induced antiviral program. Furthermore, we show a decreased ability of IAV to infect and replicate in monocytes from African-ancestry individuals, with possible implications for antigen presentation and lymphocyte activation. These results highlight the importance of early cellular activation in determining an individuals innate immune response to viral infection.

genomics↗

bioRxiv2020

Population variation of miRNAs and isomiRs and their impact on human immunity to infection

MicroRNAs (miRNAs) are key epigenetic regulators of the immune system, yet their variation and contribution to intra- and inter-population differences in immune responses is poorly characterized. Here, we generated 977 miRNA-sequencing profiles from primary monocytes, from individuals of African and European ancestry, following activation of three TLR pathways (TLR4, TLR1/2 and TLR7/8) or infection with Influenza A virus. We find that immune activation leads to important modifications in the miRNA and isomiR repertoire, particularly in response to viral challenges. These changes are, however, much weaker than those observed for protein-coding genes, suggesting stronger selective constraints on the miRNA response to stimulation. This is supported by the limited genetic control of miRNA expression variability (miR-QTLs) -- and the lower occurrence of GxE interactions -- in stark contrast with eQTLs that are largely context-dependent. We also detect marked differences in miRNA expression between populations, which are mostly driven by non-genetic factors. Yet, on average, miR-QTLs explain ~60% of population differences in expression of their cognate miRNAs, and, in some cases, evolve adaptively, as shown in Europeans for a miRNA-rich cluster on chromosome 14. Finally, integrating miRNA and mRNA data from the same individuals, we provide evidence that the canonical model of miRNA-driven transcript degradation has a minor impact on miRNA-mRNA correlations, which are, in our setting, mainly driven by co-transcription. Together, our results shed new light onto the factors driving miRNA and isomiR diversity at the population level, and constitute a useful resource for evaluating their role in host differences of immunity to infection.

genomics↗

bioRxiv2018

Exploring the Genetic Basis of Human Population Differences in DNA Methylation and their Causal Impact on Immune Gene Regulation

DNA methylation is influenced by both environmental and genetic factors and is increasingly thought to affect variation in complex traits and diseases. Yet, the extent of ancestry-related differences in DNA methylation, its genetic determinants, and their respective causal impact on immune gene regulation remain elusive. We report extensive population differences in DNA methylation between individuals of African and European descent -- detected in primary monocytes that were used as a model of a major innate immunity cell type. Most of these differences (~70%) were driven by DNA sequence variants nearby CpG sites (meQTLs), which account for ~60% of the variance in DNA methylation. We also identify several master regulators of DNA methylation variation in trans, including a regulatory hub nearby the transcription factor-encoding CTCF gene, which contributes markedly to ancestry-related differences in DNA methylation. Furthermore, we establish that variation in DNA methylation is associated with varying gene expression levels following mostly, but not exclusively, a canonical model of negative associations, particularly in enhancer regions. Specifically, we find that DNA methylation highly correlates with transcriptional activity of 811 and 230 genes, at the basal state and upon immune stimulation, respectively. Finally, using a Bayesian approach, we estimate causal mediation effects of DNA methylation on gene expression in ~20% of the studied cases, indicating that DNA methylation can play an active role in immune gene regulation. Using a system-level approach, our study reveals substantial ancestry-related differences in DNA methylation and provides evidence for their causal impact on immune gene regulation.

genomics↗

bioRxiv2017

The demographic history and mutational load of African hunter-gatherers and farmers

The distribution of deleterious genetic variation across human populations is a key issue in evolutionary biology and medical genetics. However, the impact of different modes of subsistence on recent changes in population size, patterns of gene flow, and deleterious mutational load remains unclear. Here, we report high-coverage exome sequencing data from various populations of rainforest hunter-gatherers and farmers from central Africa. We find that the recent demographic histories of hunter-gatherers and farmers differed considerably, with population collapses for hunter-gatherers and expansions for farmers, accompanied by increased gene flow. We show that purifying selection against deleterious alleles is of similar efficiency across African populations, in contrast with Europeans where we detect weaker purifying selection. Furthermore, the per-individual mutation load of rainforest hunter-gatherers is similar to that of farmers, under both additive and recessive models. Our results indicate that differences in the cultural practices and demographic regimes of African populations have not resulted in large differences in mutational burden, and highlight the beneficial role of gene flow in reshaping the distribution of deleterious genetic variation across human populations.

evolutionary biology↗