Biology subjects

Baghdasarian, S.

Publications and source records attributed to Baghdasarian, S..

5 recordsLinked to original sources

bioRxiv2026

Systematic mapping of emergent transcriptional states in interacting single-cell dyads by Cell-Cell-seq

Cell-cell interactions drive rapid and heterogeneous changes in gene expression, yet most transcriptomic methods either dissociate cells, losing pair identity and interaction timing, or infer communication indirectly from ligand-receptor co-expression. Here we present Cell-Cell-seq, a scalable workflow for profiling defined cell pairs ("dyads") with single-cell transcriptomic resolution. Cell-Cell-seq uses cavity-containing hydrogel microparticles (Nanovials) to confine two cells, synchronize contact onset, protect fragile conjugates during handling and sorting, and interface directly with droplet-based RNA sequencing. Using antigen-matched prostate tumor cells and engineered T cells as a model system, Cell-Cell-seq captured thousands of tumor-T cell dyads and revealed broad functional and transcriptional heterogeneity across interactions. Dyads unmasked transient activation programs that were obscured in standard well-plate co-culture, consistent with asynchronous contact in bulk assays. To distinguish interaction-induced programs from the composite nature of dyad transcriptomes, we developed a pseudo-mixing framework that generates in silico pseudo-dyads to construct an empirical null distribution under "no interaction," enabling statistically robust identification of emergent genes and partner-resolved attribution of responses. Dyad-resolved analysis further revealed coordinated cross-cell programs, including coupled chemokine expression consistent with bidirectional paracrine signaling and inverse coupling between tumor immunoregulatory programs and T cell activation. Finally, we introduce ccRepair to correct compositional dilution in mixed transcriptomes, improving interpretability while preserving genuine cross-cell coordination. Together, Cell-Cell-seq provides a generalizable platform for dissecting immune synapse biology and mapping interaction-dependent programs across heterogeneous cell populations, with applications in profiling tumor-immune communication and functionally screening immunotherapies.

bioengineering↗

bioRxiv2024

Linking single-cell transcriptomes with secretion using secretion-encoded single-cell sequencing (SEC-seq)

Cells secrete numerous proteins and other biomolecules into their surroundings to achieve critical functions - from communicating with other cells to blocking the activity of pathogens. Secretion of cytokines, growth factors, extracellular vesicles, and even recombinant biologic drugs defines the therapeutic potency of many cell therapies. However, gene expression states that drive specific secretory phenotypes are largely unknown. We provide a protocol that enables linking the Secretion amount of a target protein EnCoded (SEC) by thousands of single cells with transcriptional sequencing (seq). SEC-seq leverages microscale hydrogel particles called Nanovials to isolate cells and capture their secretions in close proximity, oligonucleotide-labeled antibodies to tag secretions on Nanovials, and flow cytometry and single-cell RNA-sequencing platforms for readout. Cells on Nanovials can be sorted based on viability, secretion amount, or other surface markers without fixation or permeabilization, and cell and secretion-containing Nanovials are directly introduced into microfluidic droplets-in-oil emulsions for single-cell barcoding of cell transcriptomes and secretions. We have used SEC-seq to link T-cell receptor sequences to the relative amount of associated cytokine secretions, surface marker gene expression with a highly secreting and potential regenerative population of mesenchymal stromal cells, and the transcriptome with high immunoglobulin secretion from plasma cells. Nanovial modification and cell loading takes under 4 hours, and once the desired incubation time is over, staining, cell sorting, and emulsion generation for scRNA-seq can also be completed in under 4 hours. By linking gene expression and secretory strength, SEC-seq can expand our understanding of cell secretion, how it is regulated, and how it can be engineered to make better therapies.

bioengineering↗

bioRxiv2024

Metabolic control of adaptive β-cell proliferation by the protein deacetylase SIRT2

Selective and controlled expansion of endogenous {beta}-cells has been pursued as a potential therapy for diabetes. Ideally, such therapies would preserve feedback control of {beta}-cell proliferation to avoid excessive {beta}-cell expansion and an increased risk of hypoglycemia. Here, we identified a regulator of {beta}-cell proliferation whose inactivation results in controlled {beta}-cell expansion: the protein deacetylase Sirtuin 2 (SIRT2). Sirt2 deletion in {beta}-cells of mice increased {beta}-cell proliferation during hyperglycemia with little effect in homeostatic conditions, indicating preservation of feedback control of {beta}-cell mass. SIRT2 restrains proliferation of human islet {beta}-cells cultured in glucose concentrations above the glycemic set point, demonstrating conserved SIRT2 function. Analysis of acetylated proteins in islets treated with a SIRT2 inhibitor revealed that SIRT2 deacetylates enzymes involved in oxidative phosphorylation, dampening the adaptive increase in oxygen consumption during hyperglycemia. At the transcriptomic level, Sirt2 inactivation has context-dependent effects on {beta}-cells, with Sirt2 controlling how {beta}-cells interpret hyperglycemia as a stress. Finally, we provide proof-of-principle that systemic administration of a GLP1-coupled Sirt2-targeting antisense oligonucleotide achieves {beta}-cell selective Sirt2 inactivation and stimulates {beta}-cell proliferation under hyperglycemic conditions. Overall, these studies identify a therapeutic strategy for increasing {beta}-cell mass in diabetes without circumventing feedback control of {beta}-cell proliferation.

physiology↗

bioRxiv2023

Secretion encoded single-cell sequencing (SEC-seq) uncovers gene expression signatures associated with high VEGF-A secretion in mesenchymal stromal cells

Cells secrete numerous bioactive molecules essential for the function of healthy organisms. However, there are no scalable methods to link individual cell secretions to their transcriptional state. By developing and using secretion encoded single-cell sequencing (SEC-seq), which exploits hydrogel nanovials to capture individual cells and their secretions, we simultaneously measured the secretion of vascular endothelial growth factor A (VEGF-A) and the transcriptome for thousands of individual mesenchymal stromal cells (MSCs). We found that VEGF-A secretion is heterogeneous across the cell population and lowly correlated with the VEGFA transcript level. While there is a modest population-wide increase in VEGF-A secretion by hypoxic induction, highest VEGF-A secretion across normoxic and hypoxic culture conditions occurs in a subpopulation of MSCs characterized by a unique gene expression signature. Taken together, SEC-seq enables the identification of specific genes involved in the control of secretory states, which may be exploited for developing means to modulate cellular secretion for disease treatment.

bioengineering↗

bioRxiv2022

Improved humoral immunity and protection against influenza virus infection with a 3D porous biomaterial vaccine

New vaccine platforms that properly activate humoral immunity and generate neutralizing antibodies are required to combat emerging and re-emerging pathogens, including influenza virus. Biomaterial scaffolds with macroscale porosity have demonstrated tremendous promise in regenerative medicine where they have been shown to allow immune cell infiltration and subsequent activation, but whether these types of materials can serve as an immunization platform is unknown. We developed an injectable immunization platform that uses a slurry of antigen-loaded hydrogel microparticles that anneal to form a porous scaffold with high surface area for antigen uptake by infiltrating immune cells as the biomaterial degrades to maximize humoral immunity. Antigen-loaded-microgels elicited a robust cellular humoral immune response, with increased CD4+ T follicular helper (Tfh) cells and prolonged germinal center (GC) B cells comparable to the commonly used adjuvant, aluminum hydroxide (Alum). By simply increasing the weight fraction of polymer material, we enhanced material stiffness and further increased antigen-specific antibody titers superior to Alum. Vaccinating mice with inactivated influenza virus loaded into this more highly crosslinked formulation elicited a strong antibody response and provided better protection against a high dose viral challenge than Alum. Thus, we demonstrate that by tuning physical and chemical properties alone, we can enhance adjuvanticity and promote humoral immunity and protection against a pathogen, leveraging two different types of antigenic material: individual protein antigen and inactivated virus. The flexibility of the platform may enable design of new vaccines to enhance innate and adaptive immune cell programming to generate and tune high affinity antibodies, a promising approach to generate long-lasting immunity against specific pathogens.

bioengineering↗