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Biology subjects

Heydari, T.

Publications and source records attributed to Heydari, T..

6 recordsLinked to original sources

Substrate mediated mechanical forces enable optimal kinetic proofreading by T-cell receptors

T-cells use molecular reactions with nonequilibrium error correction, i.e., proofreading, to discriminate between nearly identical antigens with high specificity and sensitivity. These receptor binding events are known to be force sensitive, yet traditional schemes of proofreading focus on reaction kinetics alone and do not consider the role of force dependent catch/slip bond behavior or interactions with mechanically engaged coreceptors such as adhesion molecules. To address this, we propose a minimal framework for proofreading of ligand discrimination by T-cell receptors (TCRs) that uses endogenous TCR mechanosensation and substrate-mediated mechanical interactions with adhesive proteins (load sharing) to improve recognition fidelity. We leverage the catch bond behavior of cognate antigens to delay decision making and amplify TCR signaling while discarding noncognate slip bond ligands in the presence of a force. By integrating our model with existing structural and molecular data, we show that substrate mechanics regulates the transmission of active cytoskeletal forces through a molecular clutch and controls the energization of bound TCRs needed for optimal proofreading. Our work demonstrates how mechanical forces and substrate properties can augment kinetic proofreading in T-cells, suggesting biomaterial design strategies for immunotherapies that tune the mechanical microenvironment of T-cells to achieve high fidelity TCR-ligand discrimination, antigen recognition, and activation.

biophysics↗

Predicting and Controlling Collective Fate in Multicellular Systems

Collective behavior is a defining property of multicellular systems, where coordinated outcomes emerge from local cell-cell interactions. Yet the quantitative rules linking single-cell decision-making to tissue-scale organization remain poorly resolved. Here, we develop a quantitative framework that defines an order parameter predicting when initially disordered colonies undergo a transition to ordered fate alignment and when minimal, localized inputs can redirect their collective state. This analysis reveals a distinct control regime in which multicellular assemblies become susceptible to a single engineered "guide" cell. We validate these predictions by introducing guide cells that integrate into unperturbed colonies and redirect fate patterns within the theoretically defined control windows. Together, these results connect single-cell decision rules to emergent tissue-level organization and establish a generalizable biological control strategy in which a minority engineered subset can reliably redirect the developmental trajectory of a much larger multicellular population. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=65 SRC="FIGDIR/small/693804v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@37baeforg.highwire.dtl.DTLVardef@d1d86aorg.highwire.dtl.DTLVardef@d7375eorg.highwire.dtl.DTLVardef@1741e9a_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOSummary figure:C_FLOATNO Emergence, Scaling, and Control of Multicellular Collective Order. (A) Cell-number-dependent collective order. Sparse colonies lack coordination and yield disordered fate distributions; dense colonies exhibit coordinated, ordered outcomes. (B) Collective order rises with colony compactness ({propto} cell density) and collapses across colony radii R onto a single curve. (C) Once coordination emerges, a single "guide cell" can steer fate-analogous to a sheepdog guiding a flock. The herding efficacy exhibits a biphasic window versus cell number. C_FIG

systems biology↗

Human naive stem cell models reveal the role of FGF signalling in hypoblast specification in the human embryo

The hypoblast is an essential extra-embryonic tissue set aside within the inner cell mass early in mammalian embryo development, in the blastocyst. Research with human embryos is challenging. Thus, stem cell models that reproduce hypoblast differentiation provide valuable alternatives. We show here that human naive PSC to hypoblast differentiation proceeds via reversion to a transitional ICM-like state, from which hypoblast emerges in concordance with the trajectory in human blastocysts. We identified a window when fibroblast growth factor (FGF) signalling is critical for hypoblast specification. Revisiting FGF signalling in human embryos revealed that inhibition in the early blastocyst suppresses hypoblast formation. In vitro, the induction of hypoblast is synergistically enhanced by limiting trophectoderm and epiblast fates. This finding revises previous reports and establishes a conservation in lineage specification between mouse and human. Overall, this study demonstrates the utility of human naive PSC-based models in elucidating mechanistic features of early human embryogenesis.

developmental biology↗

Time- and lineage-resolved transcriptional profiling uncovers gene expression programs and clonal relationships that underlie human T lineage specification

T cells develop from multi-potent hematopoietic progenitors in the thymus and provide adaptive protection against pathogens and cancer. However, the emergence of human T cell-competent blood progenitors, and their subsequent specification to the T lineage, has been challenging to capture in real time. Here, we leveraged a pluripotent stem cell differentiation system to understand the transcriptional dynamics and cell fate restriction events that underlie this critical developmental process. Time-resolved single cell RNA sequencing revealed that cell-cycle exit, downregulation of the multipotent hematopoietic program, and upregulation of >90 lineage-associated transcription factors all occur within a highly co-ordinated and narrow developmental window. Computational gene-regulatory network inference elucidated the transcriptional logic of T lineage specification, uncovering an important role for YBX1. We mapped the differentiation cell fate hierarchy using transcribed lineage barcoding and mathematical trajectory inference and discovered that mast and myeloid potential bifurcate from each other early in haematopoiesis, upstream of T lineage restriction. Collectively, our analyses provide a quantitative, time-resolved model of human T cell specification with relevance for regenerative medicine and developmental immunology.

immunology↗

Symmetry-breaking in adherent pluripotent stem cell-derived developmental patterns

The emergence of the anterior-posterior body axis during early gastrulation constitutes a symmetry-breaking event, which is key to the development of bilateral organisms, and its mechanism remains poorly understood. Two-dimensional gastruloids constitute a simple and robust framework to study early developmental events in vitro. Although spontaneous symmetry breaking has been observed in three dimensional (3D) gastruloids, the mechanisms behind this phenomenon are poorly understood. We thus set out to explore whether a controllable 2D system could be used to reveal the mechanisms behind the emergence of asymmetry in patterned cellular structures. We first computationally simulated the emergence of organization in micro-patterned mouse pluripotent stem cell (mPSC) colonies using a Turing-like activator-repressor model with activator-concentration-dependent flux boundary condition at the colony edge. This approach allows the self-organization of the boundary conditions, which results in a larger variety of patterns than previously observed. We found that this model recapitulated previous results of centro-symmetric patterns in large colonies, and also that in simulated small colony sizes, patterns with spontaneous asymmetries emerged. Model analysis revealed reciprocal effects between diffusion and size of the colony, with model-predicted asymmetries in small pattern sizes being dominated by diffusion, and centro-symmetric patterns being size-dominated. To test these predictions, we performed experiments on micro-patterned mPSC colonies of different sizes stimulated with Bone Morphogenetic Protein 4 (BMP4), and used Brachyury (BRA)-GFP expressing cells as pattern readout. We found that while large colonies showed centro-symmetric BRA patterns, the probability of colony polarization increased with decreasing sizes, with a maximum polarization frequency of 35% at [~]200m. These results indicate that a simple molecular activator-repressor system can provide cells with collective features capable of initiating a body-axes plan, and constitute a theoretical foundation for the engineering of asymmetry in developmental systems.

developmental biology↗

IQCELL: A platform for predicting the effect of gene perturbations on developmental trajectories using single-cell RNA-seq data

The increasing availability of single-cell RNA-sequencing (scRNA-seq) data from various developmental systems provides the opportunity to infer gene regulatory networks (GRNs) directly from data. Herein we describe IQCELL, a platform to infer, simulate, and study executable logical GRNs directly from scRNA-seq data. Such executable GRNs provide an opportunity to inform fundamental hypotheses in developmental programs and help accelerate the design of stem cell-based technologies. We first describe the architecture of IQCELL. Next, we apply IQCELL to a scRNA-seq dataset of early mouse T-cell development and show that it can infer a priori over 75% of causal gene interactions previously reported via decades of research. We will also show that dynamic simulations of the derived GRN qualitatively recapitulate the effects of the known gene perturbations on the T-cell developmental trajectory. IQCELL is applicable to many developmental systems and offers a versatile tool to infer, simulate, and study GRNs in biological systems. (https://gitlab.com/stemcellbioengineering/iqcell)

systems biology↗