Biology subjects

LaBarge, M. A.

Publications and source records attributed to LaBarge, M. A..

4 recordsLinked to original sources

bioRxiv2021

Evaluating sources of technical variability in the mechano-node-pore sensing pipeline and their effect on the reproducibility of single-cell mechanical phenotyping

Cellular mechanical properties can reveal physiologically relevant characteristics in many cell types, and several groups have developed microfluidics-based platforms to perform single-cell mechanical testing with high throughput. However, prior work has performed only limited characterization of these platforms technical variability and reproducibility. Here, we evaluate the repeatability performance of mechano-node-pore sensing, which is a single-cell mechanical phenotyping platform developed by our research group. We measured the degree to which device-to-device variability and semi-manual data processing affected this platforms measurements of single-cell mechanical properties, and we demonstrated high repeatability across the entire technology pipeline even for novice users. We then compared results from identical mechano-node-pore sensing experiments performed by researchers in two different labs with different analytical instruments, demonstrating that the mechanical testing results from these two locations are in agreement. Our findings quantify the expectation of technical variability in mechano-node-pore sensing even in minimally experienced hands. Most importantly, we find that the repeatability performance we measured is fully sufficient for interpreting biologically relevant single-cell mechanical measurements with high confidence.

bioengineering↗

bioRxiv2021

Epigenetic changes with age primes mammary luminal epithelia for cancer initiation

Aging causes molecular changes that manifest as stereotypical phenotypes yet aging-associated diseases progress only in certain individuals. At lineage-specific resolution, we show how stereotyped and variant responses are integrated in mammary epithelia. Age-dependent directional changes in gene expression and DNA methylation (DNAm) occurred almost exclusively in luminal cells and implicated genome organizers SATB1 and CTCF. DNAm changes were robust indicators of aging luminal cells, and were either directly (anti-)correlated with expression changes or served as priming events for subsequent dysregulation, such as demethylation of ESR1-binding regions in DNAm-regulatory CXXC5 in older luminal cells and luminal-subtype cancers. Variance-driven changes in the transcriptome of both luminal and myoepithelial lineages further contributed to age-dependent loss of lineage fidelity. The pathways affected by transcriptomic and DNAm changes during aging are commonly linked with breast cancer, and together with the differential variability found across individuals, influence aging-associated cancer susceptibility in a subtype-specific manner.

cancer biology↗

bioRxiv2021

Deep Proteome Profiling of Human Mammary Epithelia at Lineage and Age Resolution

Age is the major risk factor in most carcinomas, yet little is known about how proteomes change with age in any human epithelium. We present comprehensive proteomes comprised of >9,000 total proteins, and >15,000 phosphopeptides, from normal primary human mammary epithelia at lineage resolution from ten women ranging in age from 19 to 68. Data were quality controlled, and results were biologically validated with cell-based assays. Age-dependent protein signatures were identified using differential expression analyses and weighted protein co-expression network analyses. Up-regulation of basal markers in luminal cells, including KRT14 and AXL, were a prominent consequence of aging. PEAK1 was identified as an age-dependent signaling kinase in luminal cells, which revealed a potential age-dependent vulnerability for targeted ablation. Correlation analyses between transcriptome and proteome revealed age-associated loss of proteostasis regulation. Protein expression and phosphorylation changes in the aging breast epithelium identify potential therapeutic targets for reducing breast cancer susceptibility.

cell biology↗

bioRxiv2020

Aging leads to stochastic loss of silencing at transposons in mammary luminal epithelial cells

Luminal epithelial cells (LEps) are a key cell lineage implicated in age-related luminal breast cancers. Alterations to the epigenome are a hallmark of aging cells. However, the extent of age-associated DNA methylation alterations in LEps, and the corresponding functional consequences of these alterations, have remained unclear. We report here that aging leads to distinct methylation changes in LEps. Luminal lineage-specific genes gain promoter methylation, whereas myoepithelial-specific genes lose promoter methylation. Regulatory elements display methylation changes at lineage-specific TF binding sites consistent with the loss of lineage fidelity. CpG islands (CGIs) and transposable elements (TEs) have stochastic methylation gain and loss, respectively. PRC2 target genes that are hypermethylated in luminal breast cancer exhibit stochastic methylation increase with age. TEs with stochastic methylation loss are activated in breast cancer and potentially function as regulatory elements contributing to the loss of lineage fidelity with age. Each of these classes of methylation changes impact the regulation of genes associated with luminal breast cancer. Altogether, our results indicate that aging leads to DNA methylation changes that could determine breast cancer susceptibility. SignificanceMammary luminal epithelial cells lose lineage-specific expression with age and accumulate stochastic methylation changes that lead to loss of silencing at transposable elements. These age-dependent events potentially promote breast cancer susceptibility.

genomics↗