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Riegel, A. T.

Publications and source records attributed to Riegel, A. T..

5 recordsLinked to original sources

TEAD inhibition alters the lung immune microenvironment and attenuates metastasis.

The Hippo pathway signaling mediated through YAP/TAZ, and the transcription factor TEAD is known to be involved in primary tumor progression. Here we report that novel TEAD inhibitors (iTEAD) cause a significant reduction in the outgrowth of lung metastases from triple negative breast cancer (TNBC) models mediated predominantly through changes in stromal immune signaling. TEAD inhibition did not affect the proliferation of TNBC cancer cells in vitro or the growth of the primary tumor in vivo. In normal mice that were treated with iTEAD in the absence of tumors, the lungs showed a decrease in pro-tumor inflammatory pathways. However, the IL12 signaling pathway was enhanced and its production from isolated lung tissue resident macrophages, but not bone marrow derived macrophages, was elevated. In syngeneic TNBC mouse models, inhibition of TEAD suppressed pro-tumor inflammation and the M2-like macrophage phenotype in lung tissues, and increased the infiltration of CD8+ T cells into the lung as well as Th1 CD4+ T cells, restoring an immune responsive microenvironment. iTEAD-treated T cells showed enhanced cytotoxicity and degranulation when co-cultured with cancer cells via increased IL-2 activity. Furthermore, TEAD inhibition or knockdown, enhanced T-cell macrophage crosstalk and anti-tumor activity in 3D tumorspheres which was reversed by IL12 neutralizing antibodies. Our data supports a multifaceted model of TEAD inhibition on the innate and adaptive immune cells as they respond to tumor cell signals and reveals an important stromal phenotype by which TEAD inhibitors could reverse immune suppression and eliminate seeded metastases in the lungs.

cancer biology↗

Circulating, cell-free methylated DNA indicates cellular sources of allograft injury after liver transplant

Post-transplant complications reduce allograft and recipient survival. Current approaches for detecting allograft injury non-invasively are limited and do not differentiate between cellular mechanisms. Here, we monitor cellular damages after liver transplants from cell-free DNA (cfDNA) fragments released from dying cells into the circulation. We analyzed 130 blood samples collected from 44 patients at different time points after transplant. Sequence-based methylation of cfDNA fragments were mapped to patterns established to identify cell types in different organs. For liver cell types DNA methylation patterns and multi-omic data integration show distinct enrichment in open chromatin and regulatory regions functionally important for the respective cell types. We find that multi-tissue cellular damages post-transplant recover in patients without allograft injury during the first post-operative week. However, sustained elevation of hepatocyte and biliary epithelial cfDNA beyond the first week indicates early-onset allograft injury. Further, cfDNA composition differentiates amongst causes of allograft injury indicating the potential for non-invasive monitoring and timely intervention.

molecular biology↗

Cell-free, methylated DNA in blood samples reveals tissue-specific, cellular damage from radiation treatment

Radiation therapy is an effective cancer treatment although damage to healthy tissues is common. Here we characterize the methylomes of healthy human and mouse tissues to establish sequencing-based, cell-type specific reference DNA methylation atlases. Identified cell-type specific DNA blocks were mostly hypomethylated and located within genes intrinsic to cellular identity. Cell-free DNA fragments released from dying cells into the circulation were captured from serum samples by hybridization to CpG-rich DNA panels. The origins of the circulating DNA fragments were inferred from mapping to the established DNA methylation atlases. Thoracic radiation-induced tissue damages in a mouse model were reflected by dose-dependent increases in lung endothelial, cardiomyocyte and hepatocyte methylated DNA in serum. The analysis of serum samples from breast cancer patients undergoing radiation treatment revealed distinct tissue-specific epithelial and endothelial responses to radiation across multiple organs. Strikingly, patients treated for right-sided breast cancers also showed increased hepatocyte and liver endothelial DNA in the circulation indicating the impact on liver tissues. Thus, changes in cell-free methylated DNA can uncover cell-type specific effects of radiation and provide a quantitative measure of the biologically effective radiation dose received by healthy tissues. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=174 SRC="FIGDIR/small/487966v3_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@129f229org.highwire.dtl.DTLVardef@d999bcorg.highwire.dtl.DTLVardef@1fc3543org.highwire.dtl.DTLVardef@10cebc2_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

Full-length, single-cell RNA-sequencing of human bone marrow subpopulations reveals hidden complexity

Bone marrow progenitor cell differentiation has frequently been used as a model for studying cellular plasticity and cell-fate decisions. Recent analysis at the level of single-cells has expanded knowledge of the transcriptional landscape of human hematopoietic cell lineages. Using single-molecule real-time (SMRT) full-length RNA sequencing, we have previously shown that human bone marrow lineage-negative (Lin-neg) cell populations contain a surprisingly diverse set of mRNA isoforms. Here, we report from single cell, full-length RNA sequencing that this diversity is also reflected at the single-cell level. From fresh human bone marrow unselected and lineage-negative progenitor cells were isolated by droplet-based single-cell selection (10xGenomics). The single cell-derived mRNAs were analyzed by full-length SMRT and short-read sequencing. In both samples we detected an average of 8000 different genes using short-read sequencing. Differential expression analysis arranged the single-cells of the total bone marrow into only four clusters whereas the Lin-neg population was much more diverse with nine clusters. mRNA isoform analysis of the single-cell populations using full-length sequencing revealed that Lin-neg cells contain on average 24% more novel splice variants than the total bone marrow cells. Interestingly, among the most frequent genes expressing novel isoforms were members of the spliceosome, e.g. HNRNPs, DEAD box helicases and SRSFs. Mapping the isoforms from all genes to the cell type clusters revealed that total bone marrow cells express novel isoforms only in a small subset of clusters. On the other hand, lineage-negative progenitor cells expressing novel isoforms were present in nearly all subpopulations. In conclusion, on a single-cell level lineage-negative cells express a higher diversity of genes and more alternatively spliced novel isoforms suggesting that cells in this subpopulation are poised for different fates. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=149 HEIGHT=200 SRC="FIGDIR/small/454226v2_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@1fa661aorg.highwire.dtl.DTLVardef@454456org.highwire.dtl.DTLVardef@1897badorg.highwire.dtl.DTLVardef@116d516_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

Single molecule real time (SMRT) full length RNA-sequencing reveals novel and distinct mRNA isoforms in human bone marrow cell subpopulations

Hematopoietic cells are continuously replenished from progenitor cells that reside in the bone marrow. To evaluate molecular changes during this process, we analyzed the transcriptomes of freshly harvested human bone marrow progenitor (lineage-negative) and differentiated (lineage-positive) cells by single molecule, real time (SMRT) full length RNA sequencing. This analysis revealed a [~]5-fold higher number of transcript isoforms than previously detected and showed a distinct composition of individual transcript isoforms characteristic for bone marrow subpopulations. A detailed analysis of mRNA isoforms transcribed from the ANXA1 and EEF1A1 loci confirmed their distinct composition. The expression of proteins predicted from the transcriptome analysis was validated by mass spectrometry and validated previously unknown protein isoforms predicted e.g. for EEF1A1. These protein isoforms distinguished the lineage negative cell population from the lineage positive cell population. Finally, transcript isoforms expressed from paralogous gene loci (e.g. CFD, GATA2, HLA-A, B & C) also distinguished cell subpopulations but were only detectable by full length RNA sequencing. Thus, qualitatively distinct transcript isoforms from individual genomic loci separate bone marrow cell subpopulations indicating complex transcriptional regulation and protein isoform generation during hematopoiesis.

molecular biology↗