Harshavardhan BV’s research while affiliated with Indian Institute of Science Bangalore and other places

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Publications (15)


Fig. 1 (See legend on previous page.)
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Fig. 5 Endogenous-TGFβ is necessary and sufficient in driving Tie2-ANGPT signaling.(A) Representative images of ANGPT2 silenced C1-CAF with or without ANGPT1 stimulation (400 ng/ml) for 6 h, detected for pTie2 (Y992) protein. Scrambled siRNA was used as control. (B) qPCR analysis of ANGPT2 following ANGPT2 knockdown in C1 CAF. (C) Quantification of pTie2 (Y992) puncta using ImageJ. (D) Representative images of αSMA and pTie2 (Y992) protein detected by immunofluorescence staining, upon gene silencing of TGFβ, Tie2 and ANGPT1 in TGF-CAF. Scrambled siRNA was used as a control. (E) Myofibroblasts frequency and pTie2 (Y992) puncta was quantified using ImageJ. (F) qPCR analysis of TGFβ, Tie2, ANGPT1 and ANGPT2 followed by knockdown of TGFβ, Tie2 and ANGPT1 in TGF-CAF. (G) Schematic model suggesting experimental design of conditioned media (CM) collection from TGF-CAF following TGFβ, Tie2 and ANGPT1 gene knockdown. (H) Representative images showing myofibroblasts frequency in uninduced C1-CAF exposed to the CM collected from TGF-CAF after TGFβ, Tie2 or ANGPT1 gene-silencing. C1-CAF exposed to C1-CAF CM was used as control. Myofibroblasts frequency was quantified using ImageJ. Scale bar = 20 μm. *P < 0.05, **P < 0.01, ***P < 0.001
Fig. 6 (See legend on previous page.)

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Tie2 activity in cancer associated myofibroblasts serves as novel target against reprogramming of cancer cells to embryonic-like cell state and associated poor prognosis in oral carcinoma patients
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May 2025

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Journal of Experimental & Clinical Cancer Research

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Background Myofibroblastic cancer-associated fibroblasts (CAF) in tumor stroma serves as an independent poor prognostic indicator, supporting higher stemness in oral cancer; however, the underlying biology is not fully comprehended. Here, we have explored the crucial role of Tunica Interna Endothelial Cell Kinase (Tie2/TEK) signaling in transition and maintenance of myofibroblastic phenotype of CAFs, and as possible link with the poor prognosis of head and neck squamous cell carcinoma (HNSCC) patients. Methods Bulk and single cell RNA-sequencing (scRNAseq) methods and in-depth bioinformatic analysis were applied for CAF and cancer cells co-culture for studying molecular relationships. In vitro 3D-spheroid-forming ability, expression of stemness markers, in vivo tumor formation ability in zebrafish embryo and syngeneic mouse allografts formation was conducted to test stemness, upon targeting CAF-specific Tie2 activity by gene silencing or with small molecule inhibitor. Immunohistochemistry analysis was performed to locate the distribution of Tie2 and αSMA in primary tumors of oral carcinoma. Prognosis in HNSCC patient cohort from The Cancer Genome Atlas (TCGA) study was analysed based on single sample gene set enrichment score (ssGSEA) and Kaplan–Meier analysis. Results Autocrine or exogenous TGFβ-induction in CAF led to the recruitment of histone deacetylase 2 (HDAC2) on the promoter of Tie2-antagonist, Angiopoietin-2 (ANGPT2), resulting in its downregulation, leading to phosphorylation of Tie2 (Y992) and subsequent activation of SRC (Y418). This led to SRC/ROCK mediated αSMA-positive stress-fiber formation with gain of myofibroblast phenotype. The CAF-specific Tie2-signaling was responsible for producing embryonic-like cell state in co-cultured cancer cells; with enhanced tumor initiating ability. Tie2 activity in CAF exerted the dynamic gene expression reprogramming, with the upregulation of ‘cell migration’ and downregulation of ‘protein biosynthesis’ related gene-regulatory-network modules in malignant cells. The AUCell scores calculated for gene signatures derived from these modules showed significant concordance in independently reported scRNAseq studies of HNSCC tumors and significant association with poor prognosis in HNSCC patient cohort. Conclusions CAF-specific Tie2 activity may serve as direct stromal-target against cancer cell plasticity leading to poor prognosis of oral cancer patients. Overall, our work has provided wider applicability of Tie2-specific functions in tumor biology, along with its known role in endothelial cell-specific function.

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Emergent dynamics of cellular decision making in multi-node mutually repressive regulatory networks

March 2025

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74 Reads

Stem cell differentiation during development is governed by the dynamics of the underlying gene regulatory networks (GRNs). Mutually inhibiting nodes/collection of nodes encompass the GRNs that govern differentiation to two distinct fates. But the properties of GRNs that can allow differentiation into n-terminal phenotypes are not understood. In this study, we examine toggle-n networks, encompassing mutual inhibitions among multiple transcription factors, to derive generalized conclusions regarding the dynamics underlying differentiation into n-terminal phenotypes. We show that in steady-state distributions of gene expression, multiple cell state-specific transcription factors are co-expressed, indicating an obligatory multi-step process of multi-lineage differentiation. Furthermore, we show that cytokine signaling and specific asymmetry of regulatory links can lead to directed differentiation towards a particular cell state. Our findings provide valuable insights into the mechanistic aspects of directed differentiation of stem cells.


Epithelial to Mesenchymal Transition in the Endometrium Mediated by HOXA10 drives Embryo Implantation

January 2025

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59 Reads

In mammalian reproduction, a significant proportion of embryos fail to implant despite a receptive uterus, suggesting that defects in epithelial remodelling at the embryo-uterine interface contribute to implantation failure. The molecular programs enabling such remodelling remain incompletely understood. Here, we identify a conserved transcriptional circuit involving HOXA10 and TWIST2 that regulates epithelial plasticity in the endometrium via partial epithelial-to-mesenchymal transition (pEMT). HOXA10, a transcription factor essential for uterine receptivity, is specifically downregulated in the luminal epithelium at implantation in mice, hamsters, and monkeys. Integrated CUT&RUN and transcriptomic profiling in human endometrial epithelial cells reveal that HOXA10 directly activates epithelial gene networks and represses mesenchymal programs. HOXA10 loss, both in vitro and in vivo , induces a pEMT state with increased cell motility. Mechanistically, HOXA10 represses TWIST2, a core EMT regulator; its derepression promotes mesenchymal gene expression and epithelial cell displacement. TWIST2 knockdown restores epithelial identity and impairs implantation. These findings establish a mutually antagonistic HOXA10-TWIST2 circuit as a key regulator of pEMT and epithelial remodelling during implantation. Graphical Abstract


Fig. 1 | NHE9 associates with an EMTed phenotype. a Volcano plot depicting the association of NHE9 levels with phenotypic parameters that drive cancer evolution based on the NCI-60 database. b Gene effect scores for the NHE9 and NHE6 from CRISPR knockout screens in colorectal cancer (CRC) cell lines. Scores were normalised so that nonessential and essential genes had median scores of 0 and -1 across cell lines, respectively. c Mutation frequencies of NHE9 and other cancer drivers in each of the hypermutated CRC samples from the TCGA database. For each tumour, microsatellite instability (MSI) status, MLH1 silencing, as well as mutational status are indicated as per the legend above. d Lollipop plot of NHE9 mutations identified in hypermutated CRC samples. The x-axis represents the amino acid positions of NHE9. e Side (left) and top (right) views of the dimer of the NHE9 transport domain, coloured according to the degree of ConSurf conservation, with green to purple denoting variable to conserved amino acid positions. NHE9 mutations found in hypermutated CRC are shown as alpha-carbon spheres. The conservation colour bar is displayed at the bottom. f NHE9 expression in CRC relative to healthy control samples (GSE4107) represented as scatter plots displaying mean ± SD. g Overview of all three EMT scoring metrics. The illustration was created with BioRender. h Scatter plots depicting the relationship between NHE9 expression and all three EMT scores in CRC and healthy control samples (GSE4107). P values were calculated by Pearson's correlation (a, h) and unpaired, twotailed t test (f). See related Supplementary Fig. 1.
Fig. 3 | NHE9 high tumours have high migration levels. a Scatter plots depicting the relationship between NHE9 expression and EMT scores (KS) in CRC samples from the GSE16125 (n = 36) (left), GSE28722 (n = 125) (centre), and TCGA (n = 637) (right) databases. Each plot shows the linear fit and 95% confidence interval, Pearson's correlation coefficient (R), and P-value. b Pairwise Pearson's correlation between NHE9 and EMT regulatory genes in CRC samples from the GSE16125 (left), GSE28722 (centre), and TCGA (right) databases. Pearson's correlation value for each gene pair is represented by the size of the circle, filled with the corresponding colour from the colour bar at the bottom. *P < 0.05, **P < 0.01, ***P < 0.001. c Hierarchical clustering and heat map (from low (blue) to high (red)) of the activity levels (ssGSEA scores) of three independent migration gene sets as well as partial EMT (pEMT), EMT, cAMP inhibited, and cAMP activated gene sets in CRC samples from the GSE16125 (top left), GSE28722 (top right), and TCGA (bottom) databases. Note enrichment of migration signatures in tumours with higher (NHE9 hi ) versus lower (NHE9 lo ) NHE9 expression levels. See related Supplementary Figs. 3-5.
Fig. 5 | Assessment of tumour hypoxia and NHE9 expression profiles. a Box plots of Buffa, Ragnum, and Winter hypoxia scores in CRC samples from the TCGA database, sorted as low (Q1), intermediate (Q2, Q3), or high (Q4) NHE9 expression categories. b Scatter plots depicting the relationship between NHE9 expression and EMT scores (KS) in CRC samples from the TCGA database, sorted by median hypoxia score (Buffa) into low (left) and high (right) hypoxia score groups. c Volcano plot depicting differentially expressed proteins in CRC with low and high NHE9 expression in samples from the TCGA database with hypoxia data available. d Box-plots demonstrating that downregulation of CDH1 protein expression in CRC with high NHE9 was comparable between high and low hypoxia score groups in the TCGA database. e Box-plots demonstrating that CDH1 promoter hypermethylation in CRC with high NHE9 was comparable between high and low hypoxia score groups in the TCGA database. The x-axis shows the CpG island probes. f Schematic representation of a solid tumour organization with the characteristic tumour necrosis with dead cells, hypoxic tumour core, and vascularised tumour edge that forms the invasive front with migratory cells and tumour buds. Tumor cells in the periphery are proposed to have elevated levels of NHE9, which induces [Ca 2+ ] and suppresses cAMP levels, associating with pseudostarvation and the hybrid E/M state that drives the invasive capability of malignant tumours. The illustration was created with BioRender. P values were calculated by one-way ANOVA (a), Pearson's correlation (b), and unpaired, twotailed t test (d, e). See related Supplementary Fig. 5.
Endosomal pH is an evolutionarily conserved driver of phenotypic plasticity in colorectal cancer

December 2024

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59 Reads

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1 Citation

npj Systems Biology and Applications

Dysregulated pH is now recognised as a hallmark of cancer. Recent evidence has revealed that the endosomal pH regulator Na⁺/H⁺ exchanger NHE9 is upregulated in colorectal cancer to impose a pseudo-starvation state associated with invasion, highlighting an underexplored mechanistic link between adaptive endosomal reprogramming and malignant transformation. In this study, we use a model that quantitatively captures the dynamics of the core regulatory network governing epithelial mesenchymal plasticity. The model recapitulated NHE9-induced calcium signalling and the emergence of migratory phenotypes in colorectal cancer cells. Model predictions were compared with patient data and experimental results from RNA sequencing analysis of colorectal cancer cells with stable NHE9 expression. Mathematical analyses identified that tumours leverage elevated NHE9 levels to delay the transition of cells to a mesenchymal state and allow for metastatic progression. Ectopic expression of NHE9 is sufficient to induce loss of epithelial nature but does not fully couple with gain of mesenchymal state, resulting in a hybrid epithelial-mesenchymal population with increased aggressiveness and metastatic competence. Higher NHE9 expression is associated with cancer cell migration, and the effect appears to be independent of hypoxia status. Our data suggests that alterations in endosomal pH, an evolutionarily conserved starvation response, may be hijacked by colorectal cancer cells to drive phenotypic plasticity and invasion. We propose that cancer cells rewire their endosomal pH not only to meet the demands of rapid cell proliferation, but also to enable invasion, metastasis, and cell survival. Endosomal pH may be an attractive therapeutic target for halting tumour progression.


Multistability and predominant hybrid phenotypes in a four node mutually repressive network of Th1/Th2/Th17/Treg differentiation

October 2024

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74 Reads

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3 Citations

npj Systems Biology and Applications

Elucidating the emergent dynamics of cellular differentiation networks is crucial to understanding cell-fate decisions. Toggle switch - a network of mutually repressive lineage-specific transcription factors A and B - enables two phenotypes from a common progenitor: (high A, low B) and (low A, high B). However, the dynamics of networks enabling differentiation of more than two phenotypes from a progenitor cell has not been well-studied. Here, we investigate the dynamics of a four-node network A, B, C, and D inhibiting each other, forming a toggle tetrahedron. Our simulations show that this network is multistable and predominantly allows for the co-existence of six hybrid phenotypes where two of the nodes are expressed relatively high as compared to the remaining two, for instance (high A, high B, low C, low D). Finally, we apply our results to understand naïve CD4+ T cell differentiation into Th1, Th2, Th17 and Treg subsets, suggesting Th1/Th2/Th17/Treg decision-making to be a two-step process.


Collective amoeboid dynamics drives colonization of drug-resistant ovarian cancer cells

October 2024

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53 Reads

Epithelial ovarian cancer (EOC) is characterized by resistance to platinum-based therapy, resulting in rapid progression and poor survival. Here, we ask whether drug resistance and invasiveness coevolve to drive metastasis. Selection experiments involving pulsed carboplatin exposure established isogenic chemoresistant variants of lines, which typify high-grade serous ovarian carcinoma (HGSOC), the most aggressive type of EOC. Time-lapse imaging showed enhanced migration of resistant single cells and their collectives. Resistant cell spheroids spread faster on Collagen I substrata than sensitive controls. The resistant OVCAR-3 transcriptome was ontologically enriched for migration and showed overlap with previously reported markers of resistance in EOC patients and other evolved lines. Gene set enrichment predicted transition between epithelial, mesenchymal, and amoeboid states is higher in resistance compared to control lines. Lower matrix adhesion, weak focal adhesion, and highly deformable and translatory dynamics of cell collectives indicated that resistant cancer cells displayed a unique collective amoeboid-like migration. When injected intraperitoneally into immunodeficient mice, resistant cells colonized to a greater extent on parietal mucosae. Ex vivo, suspended resistant cells formed moruloids associated with quicker peritoneal adhesion, clearing human coelomic mesothelial monolayers with higher efficiency. Knockdown in resistant OVCAR-3 cells of two upregulated proteins, E-cadherin and LGALS3BP, had distinct consequences. E-cadherin knockdown partially restored sensitivity to carboplatin but did not affect invasion. In contrast, silencing LGALS3BP decreased invasion but not resistance. Our results suggest that drug resistance and invasiveness could coevolve through the upregulation of distinct trait drivers in EOC.


Lineage-specific dynamics of loss of X upregulation during inactive-X reactivation

October 2024

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35 Reads

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3 Citations

Stem Cell Reports

In mammals, X chromosome dosage is balanced between sexes through the silencing of one X chromosome in females. Recent single-cell RNA sequencing analysis demonstrated that the inactivation of the X chromosome is accompanied by the upregulation of the active X chromosome (Xa) during mouse embryogenesis. Here, we have investigated if the reactivation of inactive-X (Xi) leads to the loss of Xa upregulation in different cellular or developmental contexts. We find that while Xi reactivation and loss of Xa upregulation are tightly coupled in mouse embryonic epiblast and induced pluripotent stem cells, that is not the case in germ cells. Moreover, we demonstrate that partial reactivation of Xi in mouse extra-embryonic endoderm stem cells and human B cells does not result in the loss of Xa upregulation. Finally, we have established a mathematical model for the transcriptional coordination of two X chromosomes. Together, we conclude that the reactivation of Xi is not always synchronized with the loss of Xa upregulation.


Fig. 2. Optimal transport recovers diverse trajectories of EMT. (A) The colormap presents the inferred ATF distributions, showcasing the probability of early cell states (from day 0 to day 4) serving as ancestors for the three fate subpopulations by day 8. (B) Barycentric coordinate projection visualizes ATF distributions. For each time point, every individual cell is associated with a three-dimensional probability vector, as determined by that specific time point's ATF distributions of the three fates (each column in A). This vector is then mapped onto an equilateral triangle (SI Appendix, S3). A position at one of the triangle's vertices indicates a 100% commitment of the cell state to the corresponding fate.
Fig. 3. OT analysis reveals unique cellular signatures across distinct EMT trajectories. (A) Color maps illustrate the EMT signature score (using the 76GS method), stemness signature score (via ssGSEA), and proliferation signature score (via ssGSEA) for all cellular states gathered from day 0 to day 8. (B) The panels depict the time progression of average cellular signature scores (left to right: EMT, stemness, and proliferation) across the three distinct EMT trajectories. Shaded regions denote the 95% CI. (C-E) Temporal evolution of mean gene expression across the three EMT trajectories. Shaded regions denote the 95% CI (C) for CDH1 and CDH2 genes, (D) for POSTN and KRT8 genes, and (E) for HIF1A and SNAI1 genes. (F) Two-dimensional plots illustrate the time-course progression of average cellular signature scores for paired signaling pathways. Lines connect daily average scores for each signature pair, with arrows highlighting the directional flow of time.
Fig. 4. Tracing cellular signature variations across three EMT trajectories. (A) EMT signature scores for cell states from days 1 and 2 (for the complete time course see SI Appendix, Fig. S6). (B) EMT signature scores from (A) are paired with ATF distributions and plotted within a triangle using barycentric coordinates. As in Fig. 2C, a point's location represents its ATF distribution. Concurrently, the color map showcases the EMT score. Dashed lines demarcate a 75% commitment to the fate linked to the corresponding triangle vertex. (C and D) Violin plots depict the distribution of each cellular signature score for the top ancestors of each fate: (C) for EMT score (via 76GS method) and (D) for stemness score (via ssGSEA). (E) The error bar plots depict the mean of weighted pairwise distances in cellular transcriptomics (indicated at the center of each bar), and the SD errors of these pairwise distances (symbolized by the length of the error bars). Significance levels are denoted by asterisks: one star for α = 1e-4, two stars for α = 1e-8, and three stars for α = 1e-12. (F) Scatter plots display paired cellular signature scores for days 2, 4, and 8. Color codes designate the top ancestors for each trajectory.
Fig. 5. Early predictors of EMT fate through early DEG analysis and CRISPR knock-out screening. (A and B) EED gene expression analysis: (A) color maps display the ATF distributions for the partial EMT trajectory alongside the expression levels of the EED gene across all cellular states from day 0 to day 8. In the trajectory map, the color gradient signifies probability, while in the gene expression map, it indicates the level of gene expression. (B) Line plots illustrate the average dynamics of EED gene expression over. Shaded regions denote the 95% CI. (C and D) Early DEGs of proliferation-related genes (C) and stemness-related genes (D). Distinct color codes showcase the differential gene expressions in cell states from a specific trajectory when contrasted with the combined cell states of the remaining two trajectories.
Reconstruction of single-cell lineage trajectories and identification of diversity in fates during the epithelial-to-mesenchymal transition

August 2024

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80 Reads

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9 Citations

Proceedings of the National Academy of Sciences

Exploring the complexity of the epithelial-to-mesenchymal transition (EMT) unveils a diversity of potential cell fates; however, the exact timing and mechanisms by which early cell states diverge into distinct EMT trajectories remain unclear. Studying these EMT trajectories through single-cell RNA sequencing is challenging due to the necessity of sacrificing cells for each measurement. In this study, we employed optimal-transport analysis to reconstruct the past trajectories of different cell fates during TGF-beta-induced EMT in the MCF10A cell line. Our analysis revealed three distinct trajectories leading to low EMT, partial EMT, and high EMT states. Cells along the partial EMT trajectory showed substantial variations in the EMT signature and exhibited pronounced stemness. Throughout this EMT trajectory, we observed a consistent downregulation of the EED and EZH2 genes. This finding was validated by recent inhibitor screens of EMT regulators and CRISPR screen studies. Moreover, we applied our analysis of early-phase differential gene expression to gene sets associated with stemness and proliferation, pinpointing ITGB4 , LAMA3 , and LAMB3 as genes differentially expressed in the initial stages of the partial versus high EMT trajectories. We also found that CENPF , CKS1B , and MKI67 showed significant upregulation in the high EMT trajectory. While the first group of genes aligns with findings from previous studies, our work uniquely pinpoints the precise timing of these upregulations. Finally, the identification of the latter group of genes sheds light on potential cell cycle targets for modulating EMT trajectories.



Multistability and predominant double-positive states in a four node mutually repressive network: a case study of Th1/Th2/Th17/T-reg differentiation

February 2024

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46 Reads

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1 Citation

Elucidating the emergent dynamics of complex regulatory networks enabling cellular differentiation is crucial to understand embryonic development and suggest strategies for synthetic circuit design. A well-studied network motif often driving cellular decisions is a toggle switch - a set of two mutually inhibitory lineage-specific transcription factors A and B. A toggle switch often enables two possible mutually exclusive states - (high A, low B) and (low A, high B) - from a common progenitor cell. However, the dynamics of networks enabling differentiation of more than two cell types from a progenitor cell is not well-studied. Here, we investigate the dynamics of four master regulators A, B, C and D inhibiting each other, thus forming a toggle tetrahedron. Our simulations show that a toggle tetrahedron predominantly allows for co-existence of six ‘double positive’ or hybrid states where two of the nodes are expressed relatively high as compared to the remaining two - (high A, high B, low C, low D), (high A, low B, high C, low D), (high A, low B, low C, high D), (low A, high B, high C, low D), (low A, low B, high C, high D) and (low A, high B, low C, high D). Stochastic simulations showed state-switching among these phenotypes, indicating phenotypic plasticity. Finally, we apply our results to understand the differentiation of naive CD4 ⁺ T cells into Th1, Th2, Th17 and Treg subsets, suggesting Th1/Th2/Th17/Treg decision-making to be a two-step process. Our results reveal multistable dynamics and establish the stable co-existence of hybrid cell-states, offering a potential explanation for simultaneous differentiation of multipotent naïve CD4+ T cells.


Citations (8)


... First, the mathematical foundations and logical arguments supporting this equality will be reviewed. Then, its implications in various scientific and educational fields will be explored, including applications in computer science and statistics (Prasad et al., 2024). ...

Reference:

WHY 10^0 IS IT 1?
Endosomal pH is an evolutionarily conserved driver of phenotypic plasticity in colorectal cancer

npj Systems Biology and Applications

... At the time of gonadal sex determination, PGC epigenetic reprogramming displays striking differences between XX females and XY males, with reactivation of the Xi chromosome 21,22,28,29 . This biallelic expression of X-linked genes leads to an imbalance between sex, with the X:autosome ratio exceeding 1 in female PGCs compared to males 30,31 . Excess X-linked genes could promote sexual dimorphism and meiosis progression through the direct or indirect involvement of some X-linked genes in the process of sex-specific gonadal formation and could reinforce the Xi reactivation process itself 32,33 . ...

Lineage-specific dynamics of loss of X upregulation during inactive-X reactivation

Stem Cell Reports

... Recent studies have ventured into larger GRNs with mutual inhibition, the toggle tetrahedron (featuring mutual inhibitions between four TFs), where single positive states corresponding to the terminally differentiated phenotypes were not the predominant ones, necessitating additional mechanisms for complete differentiation (Duddu et al., 2024;Hong et al., 2015). Whether this pattern is an anomaly or a consistent trend with larger networks requires further investigation. ...

Multistability and predominant hybrid phenotypes in a four node mutually repressive network of Th1/Th2/Th17/Treg differentiation

npj Systems Biology and Applications

... If the regulation relations of concerned genes are known, one can understand the corresponding biological process or even control it with gene perturbation. Therefore, knowledge of GRNs can be useful to developmental biology [1,2,3], and even studying macroscopic behavior [4,5,6]. Since it is difficult to determine the GRN directly, the common practice is to infer the GRN from gene expression data. ...

Reconstruction of single-cell lineage trajectories and identification of diversity in fates during the epithelial-to-mesenchymal transition

Proceedings of the National Academy of Sciences

... System 1 contains seven parameters: r s , r r , ω rs , ω sr , t s , t r , and K, the total carrying capacity of the system. Following previous work, we assume K =10,000 (Cunningham et al., 2018, Vibishan et al., 2024, resulting in six free parameters. Exploration of these parameters is discussed in a later section. ...

A resource-based mechanistic framework for castration-resistant prostate cancer (CRPC)
  • Citing Article
  • April 2024

Journal of Theoretical Biology

... The most commonly occurring histopathology of malignant glioma is glioblastoma (GBM) (Sabu et al. 2023). GBM is characterized by aggressive biological behavior and a high degree of inter-and intratumor heterogeneity (Bv and Jolly 2024). Increasing understanding of the molecular and cellular heterogeneity of GBM will help to not only define specific subgroups more accurately for precise diagnosis but also set the foundation for successful implementation of targeted therapies (Lan et al. 2024;Skouras et al. 2023). ...

Proneural Mesenchymal antagonism dominates the patterns of phenotypic heterogeneity in Glioblastoma

iScience

... Hybrid states, especially the ones captured by the multi-level model have high entropy. Similarly, in T cell differentiation, hybrid cells expressing markers of more than one class of T cells have been suggested to be precursors of different T cell types [40]. Thus, the multilevel boolean formalism presented here can meaningfully be applied to a broader set of cell-fate decision networks. ...

Multistability and predominant double-positive states in a four node mutually repressive network: a case study of Th1/Th2/Th17/T-reg differentiation

... Our analysis reveals that EMT occurs in discrete spatial locations distinct from proliferative signatures. This finding is in line with a recent analysis of breast cancer by Barkley et al. [28] utilizing a more focused spatial transcriptomic dataset, previous research by Tsai et al. [86] demonstrating that a departure from a mesenchymal-like state is a prerequisite for tumor cell proliferation in mouse models, and a recent study by Chen et al. [87] investigating EMT states in scRNA-seq data. Such spatial characterizations at various scales were largely unexplored. ...

Reconstruction of single cell lineage trajectories and identification of diversity in fates during the epithelial-to-mesenchymal transition
  • Citing Preprint
  • September 2023