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Human middle temporal gyrus (MTG) is a vulnerable brain region in early Alzheimer’s disease (AD), but little is known about the molecular mechanisms underlying this regional vulnerability. Here we utilize the 10 × Visium platform to define the spatial transcriptomic profile in both AD and control (CT) MTG. We identify unique marker genes for cortical layers and the white matter, and layer-specific differentially expressed genes (DEGs) in human AD compared to CT. Deconvolution of the Visium spots showcases the significant difference in particular cell types among cortical layers and the white matter. Gene co-expression analyses reveal eight gene modules, four of which have significantly altered co-expression patterns in the presence of AD pathology. The co-expression patterns of hub genes and enriched pathways in the presence of AD pathology indicate an important role of cell–cell-communications among microglia, oligodendrocytes, astrocytes, and neurons, which may contribute to the cellular and regional vulnerability in early AD. Using single-molecule fluorescent in situ hybridization, we validated the cell-type-specific expression of three novel DEGs (e.g., KIF5A , PAQR6 , and SLC1A3 ) and eleven previously reported DEGs associated with AD pathology (i.e., amyloid beta plaques and intraneuronal neurofibrillary tangles or neuropil threads) at the single cell level. Our results may contribute to the understanding of the complex architecture and neuronal and glial response to AD pathology of this vulnerable brain region.

Background Nearly 80% of patients with High grade serous ovarian cancer (HGSOC) will experience recurrence within 5 years, but little is known about the mechanisms that drive this process. Methods In this study we used whole genome sequencing to assess SNV and SV burdens. These were in turn used to estimate clonal dynamics, genomic scarring, and establish mutational patterns. Results Mutational burdens and clonal compositions are established early and are maintained throughout recurrence. Using both next generation and ultra long read sequencing to analyze single nucleotide and structural variants (SVs) we discovered that although tumors from the same patient remained relatively stable, homologous recombination repair proficient (HRP) and homologous recombination repair deficient (HRD) tumors presented with distinct clonal profiles. SV signature analysis revealed three distinct classes: tumors defined by DNA losses, DNA gains, and copy number neutral changes. Each class displayed structural variation affecting distinct regions of the genome. Ultra long read sequencing validated most of the SVs identified in short read sequencing and identified additional SVs. A novel candidate driver gene involved in DNA repair, MDC1 , was significantly mutated in patients with HRP tumors. Conclusions The phenotype of high grade serous ovarian tumors, as defined by mutation and clonality profiles, is established early in disease development and remain largely unchanged through chemotherapy and recurrence. This, when considered with the significant inter-patient heterogeneity identified in HGSOC, demonstrates the need for personalized therapies based on tumor profiling. Loss of MDC1 increases invasive properties in cell lines and may drive HRD in a subset of patients.

Maternal and fetal pregnancy outcomes related to placental function vary based on fetal sex, which may be due to sexually dimorphic epigenetic regulation of RNA expression. We identified sexually dimorphic miRNA expression throughout gestation in human placentae. Next-generation sequencing identified miRNA expression profiles in first and third trimester uncomplicated pregnancies using tissue obtained at chorionic villous sampling (n = 113) and parturition (n = 47). Sequencing analysis identified 986 expressed mature miRNAs from female and male placentae at first and third trimester (baseMean>10). Of these, 11 sexually dimorphic (FDR < 0.05) miRNAs were identified in the first and 4 in the third trimester, all upregulated in females, including miR-361-5p, significant in both trimesters. Sex-specific analyses across gestation identified 677 differentially expressed (DE) miRNAs at FDR < 0.05 and baseMean>10, with 508 DE miRNAs in common between female-specific and male-specific analysis (269 upregulated in first trimester, 239 upregulated in third trimester). Of those, miR-4483 had the highest fold changes across gestation. There were 62.5% more female exclusive differences with fold change>2 across gestation than male exclusive (52 miRNAs vs 32 miRNAs), indicating miRNA expression across human gestation is sexually dimorphic. Pathway enrichment analysis identified significant pathways that were differentially regulated in first and third trimester as well as across gestation. This work provides the normative sex dimorphic miRNA atlas in first and third trimester, as well as the sex-independent and sex-specific placenta miRNA atlas across gestation, which may be used to identify biomarkers of placental function and direct functional studies investigating placental sex differences. Summary sentence Sex dimorphism in miRNA expression is more pronounced in first compared to third trimester placenta, and there are 62.5% more female exclusive gestational differences, indicating miRNA abundance across human gestation is also sexually dimorphic.

Epithelial and stromal/mesenchymal limbal stem cells contribute to corneal homeostasis and cell renewal. Extracellular vesicles (EVs), including exosomes (Exos), can be paracrine mediators of intercellular communication. Previously, we described cargos and regulatory roles of limbal stromal cell (LSC)-derived Exos in non-diabetic (N) and diabetic (DM) limbal epithelial cells (LECs). Presently, we quantify the miRNA and proteome profiles of human LEC-derived Exos and their regulatory roles in N- and DM-LSC. We revealed some miRNA and protein differences in DM vs. N-LEC-derived Exos’ cargos, including proteins involved in Exo biogenesis and packaging that may affect Exo production and ultimately cellular crosstalk and corneal function. Treatment by N-Exos, but not by DM-Exos, enhanced wound healing in cultured N-LSCs and increased proliferation rates in N and DM LSCs vs. corresponding untreated (control) cells. N-Exos-treated LSCs reduced the keratocyte markers ALDH3A1 and lumican and increased the MSC markers CD73, CD90, and CD105 vs. control LSCs. These being opposite to the changes quantified in wounded LSCs. Overall, N-LEC Exos have a more pronounced effect on LSC wound healing, proliferation, and stem cell marker expression than DM-LEC Exos. This suggests that regulatory miRNA and protein cargo differences in DM- vs. N-LEC-derived Exos could contribute to the disease state.

Multisystem inflammatory syndrome in children (MIS-C), a hyperinflammatory syndrome associated with SARS-CoV-2 infection, shares clinical features with toxic shock syndrome, which is triggered by bacterial superantigens. Superantigen specificity for different Vβ chains results in Vβ skewing, whereby T cells with specific Vβ chains and diverse antigen specificity are overrepresented in the T cell receptor (TCR) repertoire. Here, we characterized the TCR repertoire of MIS-C patients and found a profound expansion of TCRβ variable gene 11-2 (TRBV11-2), with up to 24% of clonal T cell space occupied by TRBV11-2 T cells, which correlated with MIS-C severity and serum cytokine levels. Analysis of TRBJ gene usage and complementarity-determining region 3 (CDR3) length distribution of MIS-C expanded TRBV11-2 clones revealed extensive junctional diversity. Patients with TRBV11-2 expansion shared HLA class I alleles A02, B35, and C04, indicating what we believe is a novel mechanism for CDR3-independent T cell expansion. In silico modeling indicated that polyacidic residues in the Vβ chain encoded by TRBV11-2 (Vβ21.3) strongly interact with the superantigen-like motif of SARS-CoV-2 spike glycoprotein, suggesting that unprocessed SARS-CoV-2 spike may directly mediate TRBV11-2 expansion. Overall, our data indicate that a CDR3-independent interaction between SARS-CoV-2 spike and TCR leads to T cell expansion and possibly activation, which may account for the clinical presentation of MIS-C.

The placenta, composed of chorionic villi, changes dramatically across gestation. Understanding differences in ongoing pregnancies are essential to identify the role of chorionic villi at specific times in gestation and develop biomarkers and prognostic indicators of maternal–fetal health. The normative mRNA profile is established using next-generation sequencing of 124 first trimester and 43 third trimester human placentas from ongoing healthy pregnancies. Stably expressed genes (SEGs) not different between trimesters and with low variability are identified. Differential expression analysis of first versus third trimester adjusted for fetal sex is performed, followed by a subanalysis with 23 matched pregnancies to control for subject variability using the same genetic and environmental background. Placenta expresses 14,979 polyadenylated genes above sequencing noise (transcripts per million > 0.66), with 10.7% SEGs across gestation. Differentially expressed genes (DEGs) account for 86.7% of genes in the full cohort [false discovery rate (FDR) < 0.05]. Fold changes highly correlate between the full cohort and subanalysis (Pearson = 0.98). At stricter thresholds (FDR < 0.001, fold change > 1.5), there remains 50.1% DEGs (3353 upregulated in first and 4155 upregulated in third trimester). This is the largest mRNA atlas of healthy human placenta across gestation, controlling for genetic and environmental factors, demonstrating substantial changes from first to third trimester in chorionic villi. Specific differences and SEGs may be used to understand the specific role of the chorionic villi throughout gestation and develop first trimester biomarkers of placental health that transpire across gestation, which can be used for future development of biomarkers for maternal–fetal health. Summary Sentence Comparison of first versus third trimester human placenta mRNA finds a subset of SEGs as well as significant changes in 86.7% of transcripts, highlighting the dynamic nature of placental function across gestation. Graphical Abstract

Cell mechanical phenotype or ‘mechanotype’ is emerging as a valuable label-free biomarker. For example, marked changes in the viscoelastic characteristics of cells occur during malignant transformation and cancer progression. Here we describe a simple and scalable technique to measure cell mechanotype: this parallel microfiltration assay enables multiple samples to be simultaneously measured by driving cell suspensions through porous membranes. To validate the method, we compare the filtration of untransformed and HRas V12 -transformed murine ovary cells and find significantly increased deformability of the transformed cells. Inducing epithelial-to-mesenchymal transition (EMT) in human ovarian cancer cells by overexpression of key transcription factors (Snail, Slug, Zeb1) or by acquiring drug resistance produces a similar increase in deformability. Mechanistically, we show that EMT-mediated changes in epithelial (loss of E-Cadherin) and mesenchymal markers (vimentin induction) correlate with altered mechanotype. Our results demonstrate a method to screen cell mechanotype that has potential for broader clinical application.

Maternal and fetal pregnancy outcomes vary based on fetal sex likely due to differences in placental function, reflected by sex differences in RNA expression. RNA transcripts are subject to fine-tuning control by post-transcriptional regulation including miRNAs binding to target RNAs and altering gene expression. Here we identify sexually dimorphic miRNA expression throughout gestation in the human placenta. Next-generation sequencing was used to identify human placenta miRNA expression profiles in first and third trimester uncomplicated pregnancies using discarded tissue obtained after chorionic villous sampling (n=113) and placenta (n=47). Differential expression analysis and mRNA target analysis were also examined. Sequencing identified 2,503 unique mature miRNAs expressed in each trimester. Of these, 13 significantly sexually dimorphic (FDR<0.05) miRNAs were identified in the first trimester and 4 significantly sexually dimorphic miRNAs were identified in the third trimester, including one miRNA, hsa-miR-361-5p, expressed across gestation. All of these sexually dimorphic miRNAs were significantly upregulated in females compared to males. Pathways analysis with predicted targets suggests sex differences in cancer and inflammation-related pathways in the first trimester and inflammation and growth-related pathways in the third trimester. Differential expression analysis on sex-segregated data identified 613 miRNAs upregulated in female placentas and 636 miRNAs upregulated in male placentas across gestation (FDR<0.05). In conclusion, fetal sex affects placental miRNA expression profiles and differentially expressed miRNAs may affect relevant downstream pathways, which may account for differences in pregnancy outcomes due to fetal sex. This work provides an expression atlas to direct functional studies investigating placental sex differences.

MiRNAs are widespread regulators of gene expression, and altered miRNA expression in the placenta may be involved in abnormal placentation and related pregnancy-associated diseases. It is essential to understand miRNA expression changes across gestation before miRNAs can be used as biomarkers or prognostic indicators. Using next-generation sequencing, we characterize the normative human placenta miRNA transcriptome in both the first and third trimester using leftover chorionic villus sampling tissue from prenatal tests (N=113) as well as placentae collected at delivery (N=47). We identified 2503 miRNAs, including 1647 with stable expression across gestation (p>=0.05). There were 775 significantly differentially expressed miRNAs (FDR<0.05), with 402 upregulated in first trimester and 373 upregulated in third trimester. We also examine expression of the placenta-specific miRNA clusters on chromosomes 14 and 19 which are important in pregnancy. We identified predicted targets with high confidence scores or experimental verification, then used these to identify enriched canonical biological pathways. Our study identified canonical pathways consistently targeted across gestation, including pathways regulating senescence, proliferation and growth factor signaling. We also identified differentially impacted pathways, including growth- and immune-mediated pathways. This work provides a rich atlas to direct functional studies investigating the epigenetic differences in first and third trimester placentae. We gratefully acknowledge support from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD091773) and the Ruth L. Kirschstein National Research Service Award (T32DK007770) of the National Institutes of Health.