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Matlock, B. K.

Publications and source records attributed to Matlock, B. K..

4 recordsLinked to original sources

Cell type-specific and disease-associated eQTL in the human lung

Common genetic variants confer substantial risk for chronic lung diseases, including pulmonary fibrosis (PF). Defining the genetic control of gene expression in a cell-type-specific and context-dependent manner is critical for understanding the mechanisms through which genetic variation influences complex traits and disease pathobiology. To this end, we performed single-cell RNA-sequencing of lung tissue from 67 PF and 49 unaffected donors. Employing a pseudo-bulk approach, we mapped expression quantitative trait loci (eQTL) across 38 cell types, observing both shared and cell type-specific regulatory effects. Further, we identified disease-interaction eQTL and demonstrated that this class of associations is more likely to be cell-type specific and linked to cellular dysregulation in PF. Finally, we connected PF risk variants to their regulatory targets in disease-relevant cell types. These results indicate that cellular context determines the impact of genetic variation on gene expression, and implicates context-specific eQTL as key regulators of lung homeostasis and disease.

genomics↗

A Single Cell Atlas of Lung Development

Lung organogenesis requires precisely timed shifts in the spatial organization and function of parenchymal cells, especially during the later stages of lung development. To investigate the mechanisms governing lung parenchymal dynamics during development, we performed a single cell RNA sequencing (scRNA-seq) time-series yielding 92,238 epithelial, endothelial, and mesenchymal cells across 8 time points from embryonic day 12 (E12) to postnatal day 14 (P14) in mice. We combined new computational analyses with RNA in situ hybridization to explore transcriptional velocity, fate likelihood prediction, and spatiotemporal localization of cell populations during the transition between the saccular and alveolar stages. We interrogated this atlas to illustrate the complexity of type 1 pneumocyte function during the saccular and alveolar stages, and we demonstrate an integrated view of the cellular dynamics during lung development.

developmental biology↗

Mtg16-dependent repression of E protein activity is required for early lymphopoiesis

The ETO/MTG family of transcriptional co-repressors play a key role in adult stem cell functions in various tissues. These factors are commonly found in complex with E proteins such as E2A, HEB, and Lyl1 as well as PRDM14 and BTB/POZ domain factors. Structural studies identified a region in the first domain of MTGs that is conserved in the Drosophila homologue Nervy (Nervy Homology Domain-1, or NHR1) that is essential for ETO/MTG8 to inhibit E protein-dependent transcription. The Cancer Genome Atlas (TCGA) identified cancer associated single nucleotide variants (SNVs) near the MTG16:E protein contact site. We tested these SNVs using sensitive yeast two-hybrid association assays, which suggested that only P209T significantly affected E protein binding. We then used CRISPR-Cas9 and homology directed DNA repair to insert P209T and a known inactivating mutation, F210A, into NHR1 of Mtg16 in the germ line of mice. These mice developed normally, but in competitive bone marrow transplantation assays, the F210A-containing stem cells failed to contribute to lymphopoiesis, while P209T mutant cells were reduced in mature T cell populations. High content fluorescent activated analytical flow cytometry assays identified a defect in the multi-potent progenitor to common lymphoid progenitor transition during lymphopoiesis. These data indicate that the cancer associated changes are likely benign polymorphisms, and the MTG:E protein association is required for lymphopoiesis, but less important for myelopoiesis and stem cell functions.

genetics↗

Combinatorial transcriptional profiling of mouse and human enteric neurons identifies shared and disparate subtypes in situ.

AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSBACKGROUND & AIMSC_ST_ABSThe enteric nervous system (ENS) coordinates essential intestinal functions through the concerted action of diverse enteric neurons (EN). However, integrated molecular knowledge of EN subtypes is lacking. To compare human and mouse ENs, we transcriptionally profiled healthy ENS from adult humans and mice. We aimed to identify transcripts marking discrete neuron subtypes and visualize conserved EN subtypes for humans and mice in multiple bowel regions. METHODSHuman myenteric ganglia and adjacent smooth muscle were isolated by laser-capture microdissection for RNA-Seq. Ganglia-specific transcriptional profiles were identified by computationally subtracting muscle gene signatures. Nuclei from mouse myenteric neurons were isolated and subjected to single-nucleus RNA-Seq (snRNA-Seq), totaling over four billion reads and 25,208 neurons. Neuronal subtypes were defined using mouse snRNA-Seq data. Comparative informatics between human and mouse datasets identified shared EN subtype markers, which were visualized in situ using hybridization chain reaction (HCR). RESULTSSeveral EN subtypes in the duodenum, ileum, and colon are conserved between humans and mice based on orthologous gene expression. However, some EN subtype-specific genes from mice are expressed in completely distinct morphologically defined subtypes in humans. In mice, we identified several neuronal subtypes that stably express gene modules across all intestinal segments, with graded, regional expression of one or more marker genes. CONCLUSIONSOur combined transcriptional profiling of human myenteric ganglia and mouse EN provides a rich foundation for developing novel intestinal therapeutics. There is congruency among some EN subtypes, but we note multiple species differences that should be carefully considered when relating findings from mouse ENS research to human GI studies. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=123 SRC="FIGDIR/small/187211v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@1b41277org.highwire.dtl.DTLVardef@12856feorg.highwire.dtl.DTLVardef@1674dadorg.highwire.dtl.DTLVardef@11ca1c8_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract C_FIG

neuroscience↗