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Bhasin, M.

Publications and source records attributed to Bhasin, M..

18 recordsLinked to original sources

Integrated coding-noncoding genome annotation expands single-cell transcriptomic discovery and identifies clinically relevant noncoding RNAs in multiple myeloma

Although the human genome encodes a vast repertoire of noncoding RNAs that regulate gene expression, the noncoding genome remains underexplored due to technical challenges. Specifically, during transcriptomic sequencing data alignment, the overlap between noncoding and coding loci can create ambiguous read alignments that are subsequently discarded from downstream analysis. For this reason, most of the noncoding genome is excluded from standard genomic annotations used for sequencing alignment. To address this challenge and enable concurrent profiling of the coding and noncoding transcriptome, we systematically integrated standard coding (GENCODE) and noncoding (LncBook) genome annotations, preserving coding gene annotations and removing overlapping noncoding regions. The resulting integrated genome annotation expanded the number of annotated noncoding genes from 40,785 to 138,296 while preserving all coding genes and reducing ambiguous read assignment. To evaluate the utility of our integrated genome annotation for uncovering novel, biologically relevant noncoding RNAs (ncRNAs), we realigned CD138-positive bulk RNA-seq (N = 942) and CD138-negative single-cell RNA-seq (N = 478) data from the MMRF CoMMpass study, generating a comprehensive coding-noncoding atlas of the myeloma bone marrow microenvironment with noncoding genes representing 51% of highly variable genes and displaying significant cell type specificity. Tumor expression profiling based on this integrated profiling identified 15 clusters, including two enriched for amp(1q21) or t(4;14) and associated with shorter progression-free survival (PFS). Differential expression and systematic filtering yielded 19 candidate high-risk ncRNAs, including previously uncharacterized ENSG00000310209, which was associated with poor PFS (HR = 1.141, P = 0.0025), increased IRF4 activity, Wnt pathway activation, CCL5 signaling, and the accumulation of anergic-like CD8+ T cells. These findings establish integrated coding-noncoding analysis as a strategic approach for discovering functional ncRNAs from transcriptomic sequencing data.

cancer biology↗

Single-cell RNA-seq reveals conserved and divergent cellular states across wound types and species

Chronic wounds, such as diabetic foot ulcers, fail to progress through the normal healing process and impose a significant burden on healthcare systems. While previous single-cell studies have characterized specific wound conditions, a unified understanding of the shared and distinct cellular landscapes across diverse wound microenvironments has been lacking. Therefore, we integrated over 500,541 cells from patients and mice across multiple wound conditions, including acute wound, diabetic foot ulcer, and venous ulcer as well as their healing outcome. Fibroblast-focused analysis identified a bifurcation in differentiation trajectories and identified STAT3 as a potential regulator of a reparative program in chronic wound. Furthermore, we discovered immune dysfunctions in non-healed chronic wounds, contrasting the quiescent memory-like T cells and TIMP1+ macrophages in healed chronic wounds with the exhausted T cells and foamy SPP1+ macrophage enriched in non-healed chronic wounds. Finally, we translated these results into a clinically applicable three-gene signature (CHI3L1, TIMP1, and SPP1) that accurately predicts chronic wound healing. To support wound biology community, we developed WoundSCAtlas, an interactive web resource for exploring diverse wound pathologies. In conclusion, this work provides a comprehensive and cross-species landscape of chronic wound healing, identifying conversed wound outcome-associated molecular programs, predictive biomarker, and interactive data resource.

bioinformatics↗

Single-cell profiling of innate and adaptive immune dysregulation in Long COVID

The COVID-19 pandemic has infected more than 778 million people worldwide. Roughly 7% of these patients progress to Long COVID (LC), suffering from persistent symptoms and cognitive impairment well past the acute stage. As the mechanisms of LC remain elusive, we utilized single-cell profiling (SCP) on 156,478 peripheral blood mononuclear cells (PBMCs) from 20 LC patients and 18 recovered controls (RC) to characterize the disease-associated immune dysregulation. Comparative analysis of LC and RC profiles revealed cellular heterogeneity along with differential abundances across B, T, and myeloid cell compartments. The focused analysis on the B-cell compartment showed that naive B cells in the LC exhibit elevated IL4R expression and BCR signaling, indicative of sustained antigen exposure and aberrant chronic activation. Concurrently, monocytes adopted heightened interferon signaling and enhanced migratory states, culminating into impaired myeloid differentiation. Furthermore, the T-cell compartment exhibited a functional dichotomy, maintaining sustained quiescence in the central memory compartment while displaying chronic exhaustion within effector memory populations. This dysregulation of effector immunity extended to the NK compartment, where terminally differentiated cells exhibited increased cytotoxicity yet compromised regulatory function, potentially contributing to poor viral clearance. Cellular communication analysis further supports this NK cell dysfunction that is likely driven by galectin and prostaglandin signaling involving monocytes and B cells. We stratified LC patients into mild and severe groups based on symptom and cognitive severity, identifying a distinct immune signature where severe disease is linked to chronic AP-1-mediated inflammation in NK cells and CD14+ monocytes. In contrast, patients with mild symptoms retain functionally competent NK cells with significantly lower exhaustion and apoptosis scores. Collectively, these insights into persistent immune remodeling provide a crucial framework for future biomarker discovery and the development of targeted therapeutic strategies. Abstract (Short)COVID-19 has affected >778 million worldwide, with [~]7% developing Long COVID (LC), characterized by persistent symptoms and cognitive impairment. The mechanisms of LC remain elusive; we utilized single-cell profiling on 156,478 peripheral blood mononuclear cells from LC and recovered controls. Comparative analysis revealed cellular heterogeneity and differential abundance across multiple immune compartments. B-cells exhibited hallmarks of sustained antigen exposure and aberrant activation. Concurrently, monocytes adopted heightened interferon signaling, enhanced migratory states, and impaired differentiation. T-cells exhibited chronic exhaustion within the effector memory populations. Dysregulated effector immunity extended to NK, with increased expression of cytotoxic genes yet compromised regulatory function, potentially contributing to viral clearance. LC patients with severe symptoms showed enhanced AP-1-mediated inflammation in NK cells and CD14+ monocytes, whereas mild cases had fitter NK cells with significantly lower exhaustion and apoptosis. Collectively, these insights provide a framework for biomarker discovery and the development of targeted LC therapeutic strategies.

genomics↗

Spatial multi-omics of multiple myeloma uncovers niche-dependent pro-myeloma and immunosuppressive signaling in the bone marrow and extramedullary lesions

Multiple myeloma (MM) is a plasma cell malignancy shaped by dynamic interactions between MM cells and non-malignant cells in the immune microenvironment. To spatially profile the influence of cellular context on MM and immune cell expression, we developed a multimodal framework integrating 10x Genomics Visium HD, 10x Genomics Xenium, and clinically annotated single-cell RNA (scRNA-seq) sequencing datasets. Visium HD enabled unbiased, whole transcriptome, spatial discovery at 16 {micro}m resolution, Xenium provided orthogonal validation at single-cell resolution, and scRNA-seq extended findings by mapping spatial labels and leveraging the greater sequencing depth. We developed a custom framework for cell type annotation within Visium HD spatial bins. Our approach enabled identification of plasma cell-dense niches enriched for non-canonical Wnt signaling, associated with gene expression supporting cell adhesion mediated drug resistance, inferior progression-free survival, and extramedullary lesions. Immune cells within these neighborhoods exhibited suppressed transcriptional states, including increased inhibitory receptor expression such as LAG3. Utilizing the niche-driven transcriptional states in MM and immune cells, we were able to develop a 15-gene signature independently predictive of progression free survival (HR = 2.00, p < 0.0001). Collectively, this study demonstrates the potential of integrated spatial and single-cell transcriptomics to define niche-specific programs supporting MM progression.

cancer biology↗

Microsurgical Isolation and Molecular Characterization of the Mouse Left Internal Mammary Artery: Insights into Natural Resistance to Atherosclerosis

Atherosclerosis develops unevenly across the vascular tree, yet the molecular basis for this regional susceptibility remains poorly defined. The left internal mammary artery (LIMA), the most durable conduit for coronary artery bypass (CABG) surgery, is uniquely resistant to atherosclerosis in humans; however, it has never been isolated or studied in mouse models, limiting mechanistic insight into atheroprotective pathways. Here, we establish the first method to identify and isolate the murine LIMA and generate the first transcriptomic atlas of this artery. Cross-species analyses of human and mouse LIMA reveal a conserved protective signature that distinguishes the LIMA from atheroprone vessels and uncover fundamental molecular differences that govern vascular resilience. This study presents a transformative experimental platform for dissecting the determinants of atheroprotection and identifying molecular targets to improve CABG graft performance and long-term cardiovascular outcomes.

physiology↗

Charged Scanning Mutagenesis as a High Throughput Approach for Epitope Mapping

Identifying neutralizing epitopes is important for developing vaccines and inhibitors against viral pathogens. We describe a rapid method for epitope mapping, employing barcoded charged scanning mutagenesis libraries displayed on the yeast surface, and screening using flow cytometry coupled with deep sequencing. Prior scanning mutagenesis data suggest that mutations to a charged residue, such as Aspartic acid or Arginine, will be well tolerated at exposed positions of an antigen, and minimally affect protein stability and expression. Yet such substitutions at epitope residues strongly perturb binding to a cognate partner. We constructed an Aspartate scanning library of SARS-CoV-2 RBD and linked every mutation in the library to a defined unique barcode. The approach was used to map epitopes targeted in polyclonal sera of mice immunized with different SARS-CoV-2 immunogens. In contrast to complete mutational scans, charged scanning mutagenesis with the introduced barcoding strategy employs libraries with >50-fold lower diversity, facilitating library construction, screening, and downstream analysis, and also allowing for further multiplexing of samples, thus accelerating interaction site identification, as well as vaccine and inhibitor development.

biophysics↗

Longitudinal multi-omic profiling uncovers immune escape and predictors of response in multiple myeloma

Multiple myeloma (MM) is an incurable malignancy of clonally expanded plasma cells shaped by complex interactions with the immune microenvironment. To investigate immune factors driving treatment response and resistance, we conducted multi-omics profiling including CD138neg single-cell RNA sequencing of 243 bone marrow samples from 102 patients (631,226 cells) and CD138pos bulk RNA and whole-genome sequencing from 209 samples. Longitudinal analyses revealed that interferon gamma signaling impairs T cell memory after autologous stem cell transplant, while naive B cell abundance and immunoglobulin diversity correlated with improved progression-free survival (HR = 0.48, p = 2.3e-4). At disease progression, MM cells upregulated cancer-testis antigens and immune effector genes, with concurrent B cell depletion, enrichment of myeloid-derived suppressor cell genes in monocytes, and T cell exhaustion. These findings highlight dynamic immune-tumor interactions, identifying naive B cell reconstitution as a biomarker of durable response, and cancer-testis antigens as potential targets for high-risk disease at progression. Statement of SignificanceLongitudinal profiling of multiple myeloma and the immune microenvironment revealed dynamic immune-tumor interactions across the disease course. Dysfunctional CD8 T cells limited memory formation post-transplant, while naive B recovery associated with sustained treatment response. At progression, cancer-testis antigen expression associated with immunosuppression, revealing novel mechanisms of immune escape.

cancer biology↗

Single-cell analysis of pediatric acute myeloid leukemia samples uncovers treatment-resistant stem and mast cells

Pediatric acute myeloid leukemia (pAML) is a heterogeneous malignancy driven by diverse cytogenetic mutations. While risk stratification improved by identifying cytogenetic lesions, prognostication remains inadequate with 30% of standard-risk patients experiencing relapse within 5 years. Single-cell RNA sequencing (scRNAseq) enabled the interrogation of malignant cell heterogeneity in pAML and characterization of the immune microenvironment. Herein we report the largest pAML scRNAseq analysis to date with 708,285 cells from 164 bone marrow biopsies of 95 patients and 11 healthy controls. We uncovered treatment-resistant (TR) subtypes of pAML specific to RUNX1-RUNX1T1, FLT3-ITD, and CBFB-MYH11 patients. The enrichment of TR subtype gene signatures on the TARGET pAML data supported an association with significantly poor outcomes. Intriguingly, in addition to leukemic stem cells, we identified mast cell-like pAML associated with treatment resistance and poor outcomes. Together, immature and mature pAML subtypes are promising biomarkers for identifying patients at increased risk of relapse within cytogenetic categories.

cancer biology↗

Early 2022 breakthrough infection sera from India target the conserved cryptic class 5 epitope to counteract immune escape by SARS-CoV-2 variants

During the COVID-19 pandemic, the vast majority of epitope mapping studies have focused on sera from mRNA-vaccinated populations from high-income countries. In contrast, here we report an analysis of 164 serum samples isolated from breakthrough infection patients in India during early 2022 who received two doses of the ChAdOx viral vector vaccine. Sera were screened for neutralization breadth against wildtype, Kappa, Delta, and Omicron BA.1 viruses. Three sera with the highest neutralization breadth and potency were selected for epitope mapping using charged scanning mutagenesis coupled to yeast surface display and Next Generation Sequencing. All of these sera primarily targeted the recently identified class 5 cryptic epitope along with the class 1 and class 4 epitopes, targeted to a lesser extent. The class 5 epitope is completely conserved across all SARS-CoV-2 variants and for the majority of the Sarbecoviruses. In line with these observations, a major fraction of the serum samples, including the selected three, show broad neutralizing activity against recent Omicron subvariants including XBB.1.5. This is in contrast with the results obtained with the sera from individuals receiving multiple doses of original and updated mRNA vaccines, where impaired neutralization of XBB and later variant of concerns was observed. Our study demonstrates that two doses of the ChAdOx vaccine in a highly exposed population was sufficient to drive substantial neutralization breadth against emerging and upcoming variants of concern, thus paves the path towards the development of future vaccine candidates. ImportanceWorldwide implementation of COVID19 vaccine and parallel emergence of newer SARS-CoV-2 variants has shaped the humoral immune response in a population specific manner. While characterization of this immune response is important for monitoring the disease progression at population level, it is also imperative for the development of effective countermeasures in the form of novel vaccines and therapeutics. India has implemented the worlds second largest COVID19 vaccination drive and also encountered large number of post vaccination "breakthrough" infections. From a cohort of breakthrough infection patients, we identified individuals whose sera showed broadly cross-reactive immunity against different SARS-CoV-2 variants. Interestingly, these sera primarily target a novel cryptic epitope which was not identified in previous population level studies conducted in western countries. This rare cryptic epitope remains conserved across all SARS-CoV-2 variants including the recently emerged ones and also for the SARS-like coronaviruses that may cause future outbreaks, thus representing a potential target for future vaccines.

molecular biology↗

Single cell analysis reveals an antiviral network that controls Zika virus infection in human dendritic cells

Zika virus (ZIKV) is a mosquito-borne flavivirus that caused an epidemic in the Americas in 2016 and is linked to severe neonatal birth defects, including microcephaly and spontaneous abortion. To better understand the host response to ZIKV infection, we adapted the 10x Genomics Chromium single cell RNA sequencing (scRNA-seq) assay to simultaneously capture viral RNA and host mRNA. Using this assay, we profiled the antiviral landscape in a population of human moDCs infected with ZIKV at the single cell level. The bystander cells, which lacked detectable viral RNA, expressed an antiviral state that was enriched for genes coinciding predominantly with a type I interferon (IFN) response. Within the infected cells, viral RNA negatively correlated with type I IFN dependent and independent genes (antiviral module). We modeled the ZIKV specific antiviral state at the protein level leveraging experimentally derived protein-interaction data. We identified a highly interconnected network between the antiviral module and other host proteins. In this work, we propose a new paradigm for evaluating the antiviral response to a specific virus, combining an unbiased list of genes that highly correlate with viral RNA on a per cell basis with experimental protein interaction data. Our ZIKV-inclusive scRNA-seq assay will serve as a useful tool to gaining greater insight into the host response to ZIKV and can be applied more broadly to the flavivirus field.

microbiology↗

Integrated single-nuclei and spatial transcriptomic analysis reveals propagation of early acute vein harvest and distension injury signaling pathways following arterial implantation

BackgroundVein graft failure (VGF) following cardiovascular bypass surgery results in significant patient morbidity and cost to the healthcare system. Vein graft injury can occur during autogenous vein harvest and preparation, as well as after implantation into the arterial system, leading to the development of intimal hyperplasia, vein graft stenosis, and, ultimately, bypass graft failure. While previous studies have identified maladaptive pathways that occur shortly after implantation, the specific signaling pathways that occur during vein graft preparation are not well defined and may result in a cumulative impact on VGF. We, therefore, aimed to elucidate the response of the vein conduit wall during harvest and following implantation, probing the key maladaptive pathways driving graft failure with the overarching goal of identifying therapeutic targets for biologic intervention to minimize these natural responses to surgical vein graft injury. MethodsEmploying a novel approach to investigating vascular pathologies, we harnessed both single-nuclei RNA-sequencing (snRNA-seq) and spatial transcriptomics (ST) analyses to profile the genomic effects of vein grafts after harvest and distension, then compared these findings to vein grafts obtained 24 hours after carotid-cartoid vein bypass implantation in a canine model (n=4). ResultsSpatial transcriptomic analysis of canine cephalic vein after initial conduit harvest and distention revealed significant enrichment of pathways (P < 0.05) involved in the activation of endothelial cells (ECs), fibroblasts (FBs), and vascular smooth muscle cells (VSMCs), namely pathways responsible for cellular proliferation and migration and platelet activation across the intimal and medial layers, cytokine signaling within the adventitial layer, and extracellular matrix (ECM) remodeling throughout the vein wall. Subsequent snRNA-seq analysis supported these findings and further unveiled distinct EC and FB subpopulations with significant upregulation (P < 0.00001) of markers related to endothelial injury response and cellular activation of ECs, FBs, and VSMCs. Similarly, in vein grafts obtained 24 hours after arterial bypass, there was an increase in myeloid cell, protomyofibroblast, injury-response EC, and mesenchymal-transitioning EC subpopulations with a concomitant decrease in homeostatic ECs and fibroblasts. Among these markers were genes previously implicated in vein graft injury, including VCAN (versican), FBN1 (fibrillin-1), and VEGFC (vascular endothelial growth factor C), in addition to novel genes of interest such as GLIS3 (GLIS family zinc finger 3) and EPHA3 (ephrin-A3). These genes were further noted to be driving the expression of genes implicated in vascular remodeling and graft failure, such as IL-6, TGFBR1, SMAD4, and ADAMTS9. By integrating the ST and snRNA-seq datasets, we highlighted the spatial architecture of the vein graft following distension, wherein activated and mesenchymal-transitioning ECs, myeloid cells, and FBs were notably enriched in the intima and media of distended veins. Lastly, intercellular communication network analysis unveiled the critical roles of activated ECs, mesenchymal transitioning ECs, protomyofibroblasts, and VSMCs in upregulating signaling pathways associated with cellular proliferation (MDK, PDGF, VEGF), transdifferentiation (Notch), migration (ephrin, semaphorin), ECM remodeling (collagen, laminin, fibronectin), and inflammation (thrombospondin), following distension. ConclusionsVein conduit harvest and distension elicit a prompt genomic response facilitated by distinct cellular subpopulations heterogeneously distributed throughout the vein wall. This response was found to be further exacerbated following vein graft implantation, resulting in a cascade of maladaptive gene regulatory networks. Together, these results suggest that distension initiates the upregulation of pathological pathways that may ultimately contribute to bypass graft failure and presents potential early targets warranting investigation for targeted therapies. This work highlights the first applications of single-nuclei and spatial transcriptomic analyses to investigate venous pathologies, underscoring the utility of these methodologies and providing a foundation for future investigations.

genomics↗

Molecular bases for strong phenotypic effects of single-site synonymous substitutions in the E.coli ccdB toxin gene

Single-site synonymous mutations typically have only minor or no effects on gene function. Here, we estimate the effects on cell growth of ~200 single-site synonymous mutations in an operonic context by mutating each position of ccdB, the 101-residue long cytotoxin of the ccdAB Toxin-Antitoxin (TA) operon to all possible degenerate codons. Phenotypes were assayed by transforming the mutant library into CcdB sensitive and resistant E. coli strains, isolating plasmid pools, and subjecting them to deep sequencing. Since autoregulation is a hallmark of TA operons, phenotypes obtained for ccdB synonymous mutants after transformation in a RelE toxin reporter strain followed by deep sequencing provided information on the amount of CcdAB complex formed. Synonymous mutations in the N-terminal region involved in translation initiation showed the strongest non-neutral phenotypic effects. We observe an interplay of numerous factors, namely, location of the codon, codon usage, t-RNA abundance, formation of anti-Shine Dalgarno sequences, transcript secondary structure, and evolutionary conservation in determining phenotypic effects of ccdB synonymous mutations. Incorporation of an N-terminal, hyperactive synonymous mutation, in the background of the single-site synonymous mutant library sufficiently increased translation initiation, such that mutational effects on either folding or termination of translation became more apparent. Introduction of putative pause sites not only affects the translational rate but might also alter the folding kinetics of the protein in vivo. This information is useful in optimizing heterologous gene expression in E. coli and understanding the molecular bases for alteration in gene expression that arise due to synonymous mutations. SIGNIFICANCE STATEMENTSynonymous mutations which do not change amino-acid identity, typically have only minor or no effects on gene function. Using sensitive genetic screens in the context of the ccdAB bacterial toxin-antitoxin operon, we demonstrate that many single-site synonymous mutations of the ccdB toxin gene display significant phenotypic effects in an operonic context. The largest effects were seen for synonymous mutations in the N-terminal region involved in translation initiation. Synonymous mutations that affected either folding or translation termination were also identified. Lack of translational pausing due to synonymous mutations in hydrophobic residue stretches, was found to decrease the amount of properly folded CcdB protein. In summary the study provides novel insights into diverse mechanisms by which synonymous mutations modulate gene function.

molecular biology↗

Taxane chemotherapy leads to breast cancer dormancy escape by stromal injury mediated IL-6/MAP2K signaling

A major cause of cancer recurrence following chemotherapy is cancer dormancy escape. Taxane-based chemotherapy is standard of care in breast cancer treatment aimed at killing proliferating cancer cells. Here, we demonstrate that docetaxel injures stromal cells, which release protumor cytokines, IL-6 and G-CSF, that in turn invoke dormant cancer outgrowth both in vitro and in vivo. Single-cell transcriptomics shows a reprogramming of awakened cancer cells including several survival cues such as stemness, chemoresistance, as well as an altered tumor microenvironment with augmented pro-tumor immune signaling. IL-6 plays a role in cancer cell proliferation, whereas G-CSF mediates tumor immunosuppression. Pathways and differential expression analyses confirmed MEK as the key regulatory molecule in cancer cell outgrowth and survival. Antibody targeting of protumor cytokines (IL-6, G-CSF) or inhibition of cytokine signaling via MEK/ERK pathway using selumetinib prior to docetaxel treatment prevented cancer dormancy outgrowth suggesting a novel therapeutic strategy to prevent cancer recurrence.

cancer biology↗

Targeting TRIP13 in Wilms Tumor with Nuclear Export Inhibitors

Wilms tumor (WT) is the most common renal malignancy of childhood. Despite improvements in the overall survival, relapse occurs in ~15% of patients with favorable histology WT (FHWT). Half of these patients will succumb to their disease. Identifying novel targeted therapies in a systematic manner remains challenging in part due to the lack of faithful preclinical in vitro models. We established ten short-term patient-derived WT cell lines and characterized these models using low-coverage whole genome sequencing, whole exome sequencing and RNA-sequencing, which demonstrated that these ex-vivo models faithfully recapitulate WT biology. We then performed targeted RNAi and CRISPR-Cas9 loss-of-function screens and identified the nuclear export genes (XPO1 and KPNB1) as strong vulnerabilities. We observed that these models are sensitive to nuclear export inhibition using the FDA approved therapeutic agent, selinexor (KPT-330). Selinexor treatment of FHWT suppressed TRIP13 expression, which was required for survival. We further identified in vitro and in vivo synergy between selinexor and doxorubicin, a chemotherapy used in high risk FHWT. Taken together, we identified XPO1 inhibition with selinexor as a potential therapeutic option to treat FHWTs and in combination with doxorubicin, leads to durable remissions in vivo.

cancer biology↗

Survival Genie: A web platform for single cell data, gene ratio, and cell composition based survival analyses across adult and pediatric cancers

The genomics data-driven identification of gene signatures and pathways has been routinely explored for predicting cancer survival and making decisions related to targeted treatments. A large number of packages and tools have been developed to correlate gene expression/mutations to the clinical outcome but lack the ability to perform such analysis based on pathways, gene sets, and gene ratios. Furthermore, in this single-cell omics era, the cluster markers from cancer single-cell transcriptomics studies remain an underutilized prognostic option. Additionally, no bioinformatics online tool evaluates the associations between the enrichment of canonical cell types and survival across cancers. Here we have developed Survival Genie, a web tool to perform survival analysis on single-cell RNA-seq (scRNA-Seq) data and a variety of other molecular inputs such as gene sets, genes ratio, tumor infiltrating immune cells proportion, gene expression profile scores, and tumor mutation burden. For a comprehensive analysis, Survival Genie contains 53 datasets of 27 distinct malignancies from 11 different cancer programs related to adult and pediatric cancers. Users can upload scRNA-Seq data or gene sets and select a gene expression partitioning method (i.e., mean, median, quartile, cutp) to determine the effect of expression levels on survival outcomes. The tool provides comprehensive results including box plots of low and high-risk groups, Kaplan-Meier plots with univariate Cox proportional hazards model, and correlation of immune cell enrichment and molecular profile. The analytical options and comprehensive collection of cancer datasets make Survival Genie a unique resource to correlate gene sets, pathways, cellular enrichment, and single-cell signatures to clinical outcomes to assist in developing next-generation prognostic and therapeutic biomarkers. Survival Genie is open-source and available online at https://bbisr.shinyapps.winship.emory.edu/SurvivalGenie/.

cancer biology↗

Single Cell Transcriptomic Landscape of Diabetic Foot Ulcers

To understand the diabetic wound healing microenvironment, we profiled 174,962 single cells from foot, forearm, and PBMCs using single-cell RNA sequencing (scRNASeq) approach. Our analysis shows enrichment of a unique population of fibroblasts overexpressing MMP1, MMP3, MMP11, HIF1A, CHI3L1, and TNFAIP6 genes and M1 macrophage polarization in the DFU patients with healing wounds. Further, scRNASeq of spatially separated samples from same patient and spatial transcriptomics (ST) revealed preferential localization of these healing associated fibroblasts toward deep wound/ulcer bed as compared to wound edge or non-wounded skin. ST also validated our findings of higher enrichment of M1 macrophages in healers and M2 macrophages in non-healers. Our analysis provides deep insights into the wound healing microenvironment, identifying cell types that could be critical in promoting DFU healing, and may inform novel therapeutic approaches for DFU treatment.

genomics↗

Design of a highly thermotolerant, immunogenic SARS-CoV-2 spike fragment

Virtually all SARS-CoV-2 vaccines currently in clinical testing are stored in a refrigerated or frozen state prior to use. This is a major impediment to deployment in resource-poor settings. Several use viral vectors or mRNA. In contrast to protein subunit vaccines, there is limited manufacturing expertise for these novel, nucleic acid based modalities, especially in the developing world. Neutralizing antibodies, the clearest known correlate of protection against SARS-CoV-2, are primarily directed against the Receptor Binding Domain (RBD) of the viral spike protein. We describe a monomeric, glycan engineered RBD protein fragment that is expressed at a purified yield of 214mg/L in unoptimized, mammalian cell culture and in contrast to a stabilized spike ectodomain, is tolerant of exposure to temperatures as high as 100{degrees}C when lyophilized, upto 70{degrees}C in solution and stable for over four weeks at 37{degrees}C. In prime:boost guinea pig immunizations, when formulated with the MF59 like adjuvant AddaVax, the RBD derivative elicited neutralizing antibodies with an endpoint geometric mean titer of ~415 against replicative virus, comparing favourably with several vaccine formulations currently in the clinic. These features of high yield, extreme thermotolerance and satisfactory immunogenicity suggest that such RBD subunit vaccine formulations hold great promise to combat COVID-19.

biophysics↗

Sustained exposure to trypsin causes cells to transition into a state of reversible stemness that is amenable to transdifferentiation

During cell culture, trypsin, a serine protease, is applied to cells for 5-10 minutes to separate them from each other and from the underlying substratum so that they can be transferred to a different vessel, for re-plating, after growth medium containing 10 % serum has been added to the cells, in a well-known technique known as passaging. The serum in the growth medium contains alpha-1 antitrypsin, which is a potent inhibitor of trypsin, elastase and other serine proteases. Although what is used is bovine serum in which levels of proteins could be different from levels seen in humans, normal human serum contains A1AT (> 1 mg/ml; > [~]18 {micro}mol/L) as well as trypsin itself (< 460 ng/ml, or [~]0.02 {micro}mol/L), with the former in a [~]900-fold molar excess over the latter. Thus, it may be assumed there is also enough A1AT in the bovine serum added during passaging, to neutralize the trypsin ([~]100 M) present in the small volume of trypsin-EDTA solution used to separate cells. What are the consequences of not adding serum, when growth medium is added, or of maintaining cells for a few tens of hours in the presence of trypsin, in a serum-free growth medium? What does such sustained exposure to trypsin during cell culture do to cells? More generally, what are the responses of cells within an organism to the balance of trypsin and A1AT in the serum that bathes them constantly? We know that excesses and deficiencies in the levels of either trypsin or A1AT are associated with disease. We know that cellular metabolism can be influenced through signaling involving protease activated membrane GPCR receptors (PAR1-4). In particular, we know of a receptor called PAR2, which is specifically activated by trypsin, expressed by cells at baseline levels, and upregulated through some feedback involving trypsin-activation. We also know that cells at sites of injury or inflammation produce and secrete trypsin, and that this trypsin can act locally upon cells in a variety of ways, all of which have probably not yet been elucidated. Here, we show that sustained exposure to trypsin induces cells to de-differentiate into a stem-like state. We show that if serum is either not added at all, or added and then washed away (after confluency is attained), during cell culture, all cells exposed to exogenously-added trypsin undergo changes in morphology, transcriptome, secretome, and developmental potential, and transition into a state of stemness, in minimal essential medium (MEM). Regardless of their origins, i.e., independent of whether they are derived from primary cultures, cell lines or cancer cell lines, and regardless of the original cell type used, exposure to trypsin ([~]10 {micro}M; [~]250 {micro}g/ml) at a concentration 10-fold lower than that used to separate cells during passaging ([~]100 M), over a period of 24-48 hours, causes cells to (1) become rounded, (2) cluster together, (3) get arrested in the G0/G1 stage of the cell cycle, (4) display increased presence of 5-hydroxymethyl cytosine in their nuclei (indicative of reprogramming), (5) display increased levels of activated PAR2 membrane receptor, (6) become capable of very efficient efflux of drug-mimicking dyes, (7) express factors and/or markers known to be associated with induction and/or attainment of stemness, with predominant expression of Sox-2 within cell nuclei; (8) display overall transcriptomic (RNASEQ) profiles characteristic of stemness; (9) secrete stemness-associated factors such as bFGF, and IL-1{beta}, into the medium, in quantities sufficient to support autocrine function (in certain cases); and (10) display increased conversion of pro-MMPs into activated MMPs in the cells secretome. Notably, (11) inclusion of differentiating and/or transdifferentiating factors in the environment of such cells causes them to express markers associated with ectodermal, endodermal and mesodermal cell lineages and/or transdifferentiate into specific cell types, e.g., adipocytes or osteocytes.\n\nMost intriguingly of all, (12) the attained stemness appears to be reversible, i.e., withdrawal of trypsin from the medium prior to addition of any differentiating factors restores cells to their original morphology, also over a period of 24-48 hours. Further, (13) a known PAR2 agonist, and a known PAR2 antagonist, respectively, appear to mimic effects of trypsin addition and withdrawal/inhibition. In addition, (14) in experiments with a particular cancer characterized by high levels of stemness (TNBC; triple negative breast cancer), tissues of all TNBC patients express high levels of the PAR2 receptor, as do cells from a known TNBC-derived cell line. We propose that through their effects on PAR levels, and PAR activation status, the balance of trypsin and A1AT levels in organisms normally regulates cellular potential for differentiation, de-differentiation or transdifferentiation, in a local manner, with the default status being that A1AT inhibits trypsin and keeps cells differentiated, whereas sustained trypsin signaling at sites of injury through local production of trypsin helps to place cells into an intermediate state of stemness from which they can either return to their original differentiated state(s), or undergo factor-dependent differentiation, or transdifferentiation, into specific cell types or lineages. It is also possible that reduction in A1AT promotes regeneration. We present a core (RNASEQ-derived) signature for trypsin-induced stemness in human corneal fibroblasts (HCFs) and cells from a retinal pigment epithelial cell line (ARPE-19), noting that there are commonalities as well as differences between them, which suggests that this core signature will be amended with RNASEQ studies of more trypsin-exposed cell types. Our findings offer a possible explanation for the recent unexplained increase in the preference for serum-free protocols used for induction and maintenance of stemness involving iPSCs and mesenchymal stem cells. Also, our studies suggest a new approach to understanding and exploiting how organisms might use stemness, in adults. Trypsin-dominated serine protease induced reprogramming (SPIR) might offer a more natural, and suitably softer, method of reprogramming of cellular developmental potential for local regenerative requirements in animal tissues.

cell biology↗