Christine Queitsch

This paper introduces Fiber-seq, a method for detecting chromatin accessibility on individual DNA fibers, and provides guidelines for its proper use and analysis.

This study shows duckweeds respond to combinatorial stress similarly to terrestrial plants and can serve as high-throughput models for studying abiotic stress responses.

The paper characterizes plant enhancer activity across multiple species and develops a deep learning model to predict enhancer strength and identify functional motifs.

Dosa covalently bars proteins for high-throughput biochemical analysis by linking variants to RNA barcodes via a methyltransferase, enabling assessment of protein function through direct biochemical assays.

The paper identifies FT-expressing companion cells in leaves, reveals their unique gene expression profile, and shows that NIGT1 represses FT under nitrogen-rich conditions.

The paper investigates the phenotypic effects of rDNA copy number variation in C. elegans using recombinant inbred lines and finds no significant correlation with key phenotypes.

This study uses Fiber-seq to analyze TE regulatory potential in maize, revealing epigenetic patterns and gene interaction mechanisms.

The paper identifies small DNA elements in plants that function as both insulators and silencers depending on regulatory context, validated in multiple plant species.

The paper assesses photoperiod sensitivity in Camelina sativa accessions, finding wide variation and complex genetic underpinnings.

The paper investigates how rDNA copy number variation affects yeast fitness under different environmental conditions and finds that higher copy numbers improve fitness in stress conditions.

The paper identifies FLP1 as a gene expressed in FT-producing cells in Arabidopsis that promotes flowering and stem growth under long-day conditions.

The paper uses single-cell RNA-seq to study temperature sensitivity in zebrafish embryos, finding that notochord sheath cells are particularly vulnerable due to protein misfolding.

This study uses single-cell ATAC-seq to analyze chromatin accessibility in Arabidopsis thaliana roots, revealing cell type-specific regulatory landscapes and integrating them with transcriptomes to infer gene regulatory networks.

The paper shows that reducing rDNA copy number in S. cerevisiae changes its replication timing, delays genome replication, and links rDNA to cell cycle control via Cdc14p sequestration.

The paper investigates the correlation between 45S and 5S rDNA copy numbers in humans and finds no meaningful correlation, challenging previous claims of concerted variation.

The paper identifies mutations in the yeast Hsf1 oligomerization domain that alter transcriptional programs and fitness under heat stress.

The paper applies UMAP to visualize genetic interactions in yeast transcriptome data, identifying protein complexes and novel interactions.

The paper identifies dominant negative polypeptides in yeast by analyzing DNA library depletion during cell growth using high-throughput sequencing.

This study uses single-cell RNA-seq to analyze gene expression in A. thaliana root cells, identifying cell-type-specific genes and developmental trajectories, and shows cell-type differences in heat stress responses.

The paper assesses STR variation across 96 Arabidopsis thaliana strains, finding high polymorphism and functional consequences, including novel STR-phenotype associations.

The paper identifies DNA-binding preferences of Ste12 in yeast and shows how mutations shift its preference toward mating or invasion.

This study shows that HSP90 reduces the penetrance of newly introduced mutations in plants, leading to fewer embryonic lethality and phenotypic abnormalities compared to HSP90-reduced plants.

The paper examines regulatory DNA variation in Arabidopsis thaliana, finding that chromatin accessibility differences often correlate with gene expression changes despite limited sequence variation.

The paper investigates how variable ELF3 polyglutamine tracts in Arabidopsis thaliana mediate genetic incompatibilities through physical interactions and epistatic effects.

This study identifies directional gene dependencies in prokaryotic genomes, showing that evolutionary innovation via HGT is constrained by epistasis and historical contingency.

This paper introduces a two-state epistasis model to address missing heritability in complex traits by considering variant penetrance, improving fit with heritability observations.

This paper identifies epistatic genetic interactions underlying root length variation in Arabidopsis thaliana, revealing that epistasis cancels additive genetic variance, and discovers functional candidate genes.

MIPSTR is a method for accurate genotyping of STR variation in germ-line and somatic contexts across many individuals, using targeted capture and single-molecule mapping to overcome sequencing challenges.

This paper reviews the role of short tandem repeat (STR) variation in complex trait heritability and highlights challenges in incorporating STRs into genotype-phenotype maps.