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Mishra, A.

Publications and source records attributed to Mishra, A..

At least 109 records · Page 6Linked to original sources

Voltage to Calcium Transformation Enhances Direction Selectivity in Drosophila T4 neurons

A critical step in neural information processing is the transformation of membrane voltage into calcium signals leading to transmitter release. However, the effect of voltage to calcium transformation on neural responses to different sensory stimuli is not well understood. Here, we use in vivo two-photon imaging of genetically encoded voltage and calcium indicators, Arclight and GCaMP6f respectively, to measure responses in Drosophila direction-selective T4 neurons. Comparison between Arclight and GCaMP6f signals revealed calcium signals to have a significantly higher direction selectivity compared to voltage signals. Using these recordings we build a model which transforms T4 voltage responses to calcium responses. The model reproduces experimentally measured calcium responses across different visual stimuli using different temporal filtering steps and a stationary non-linearity. These findings provide a mechanistic underpinning of the voltage-to-calcium transformation and show how this processing step, in addition to synaptic mechanisms on the dendrites of T4 cells, enhances direction selectivity in the output signal of T4 neurons.

neuroscience↗

Genetic landscape of Human neutrophil antigen variants in India from population-scale genomes

BackgroundAntibodies against human neutrophil antigens (HNAs) play a significant role in various clinical conditions such as neonatal alloimmune neutropenia (NAIN). Transfusion-related acute lung injury (TRALI) and other non-hemolytic transfusion reactions. This study aims to identify the genotype and allele frequencies of HNAs in the healthy Indian population. MethodsGenetic variants from whole genomes of 1029 healthy Indian individuals were retrieved to accurately perform frequency estimation of HNA-1, HNA-3, HNA-4 and HNA-5 alleles using in-house computational pipeline. ResultsIn HNA class I, the genotype frequencies of FCGR3B*01 (HNA1a/a), FCGR3B*02 (HNA1b/b) and FCGR3B*03 (HNA1c/c) were 0.29%, 27.31% and 1.75% respectively. In HNA-3 the frequencies of HNA3a/a (SLC44A2*01), HNA3a/b and HNA3b/b (SLC44A2*02) were found to be 62.0%, 31.7% and 5.8% respectively. Frequency of ITGAM*01 encoding HNA4a/a was 90.1% and that of ITGAM*02 encoding HNA4b/b was 0.3%. Furthermore, HNA5a/a (ITGAL*01) and HNA5b/b (ITGAL*02) were found to have 12.9% and 48.6% genotype frequencies in the Indian population respectively. It was also found that the allele frequency HNA-5 variant, rs2230433 (ITGAL_chr16:30506720G>C) encoding 5b allele was highly prevalent (78.2%) in the Indian population which was comparable to South Asians (65.6%) but differed greatly from East Asians (14.3%), Latino Americans (25.7%), African-Americans (42.2%), European-Finnish (25.4%), European-non-Finnish (29.4%), Greater Middle Easterners (34.5%), Amish (30.2%) and Ashkenazi Jewish (31.4%). ConclusionThis study presents the first comprehensive report of HNA variant and genotype frequencies using large scale representative whole genome sequencing data of the Indian population. Significant difference was observed in the prevalence of HNA5a and HNA5b in India in comparison to other global populations.

genomics↗

Demystifying the role of prognostic biomarkers in breast cancer through integrated transcriptome and pathway enrichment analyses

Breast cancer (BC) is the most commonly diagnosed cancer and the leading cause of death in women. There has been discovered an increasing number of molecular targets for BC prognosis and therapy. However, it is still urgent to identify new biomarkers. Therefore, we evaluated biomarkers that may contribute to the diagnosis and treatment of BC. We searched TCGA datasets and identified differentially expressed genes (DEGs) by comparing tumor (100 samples) and non-tumor (100 samples) tissues using the Deseq2 package. Pathway and functional enrichment analysis of the DEGs were done using DAVID (The Database for Annotation, Visualization, and Integrated Discovery) database. The protein-protein interaction (PPI) network was identified using the STRING database and visualized through Cytoscape software. Hub gene analysis of the PPI network was done using Cytohubba plugins. The associations between the identified genes and overall survival (OS) were analyzed using Kaplan-Meier plot. Finally, we have identified hub genes at the transcriptome level. A total of 824 DEGs were identified, which were mostly enriched in cell proliferation, signal transduction, and cell division. The PPI network comprised 822 nodes and 12145 edges. Elevated expression of the 5 hub genes AURKA, BUB1B, CCNA2, CCNB2, and PBK are related to poor OS in breast cancer patients. A promoter methylation study showed these genes to be hypomethylated. Validation through genetic alteration and missense mutations resulted in chromosomal instability leading to improper chromosome segregation causing aneuploidy. The enriched functions and pathways included the cell cycle, oocyte meiosis, and the p53 signaling pathway. The identified five hub genes in breast cancer have the potential to become useful targets for the diagnosis and treatment of breast cancer.

bioinformatics↗

In Silico insight to identify Potential Inhibitors of BUB1B from Mushroom bioactive compounds to Prevent Breast cancer metastasis

BUB1B (BUB1 Mitotic Checkpoint Serine/Threonine Kinase B) gene belongs to the spindle assembly checkpoint protein family, proven to be associated with many kinds of cancers. Protein kinases are crucial in metaphase to anaphase cellular transition. It is a primary element of spindle assembly checkpoint (SAC). This SAC is responsible for guarding the proper chromosomal segregation while any chromosomal instability hinders its normal functioning. The chromosomal instability may lead to cancer progression. And it occurs mainly due to overexpression of BUB1B in many cancer types especially in breast cancer metastasis. This could be controlled by designing proper inhibitor of this gene. For this purpose, there are proved existence of various mushroom compounds possessing some important medicinal properties with proven anti- cancerous effects. Proper screening and identification of molecules having these anti-cancerous effects and showing affinity against BUB1B with inhibition properties could be obtained from these compounds. So this study has incorporated 70 bioactive compounds (handpicked through literature mining) of distinct mushrooms that were considered and explored for identifying a suitable drug candidate. Their ADME/T properties were obtained to predict the drug-likeness of these 70 mushroom compounds based on Lipinskis rule of 5 (RO5). The screening of these bioactive compounds and subsequent molecular docking against BUB1B provided compounds with the best conformation-based binding affinity. The best 2 complexes, i.e., BUB1B- Lepiotaprocerin D and BUB1B-Peptidoglycan, were subjected to the molecular dynamics simulation. Both the complexes were observed for their affinity, stability, and flexibility in protein-ligand complex systems. The MD simulation study revealed that Lepiotaprocerin D has an energetically favorable binding affinity with BUB1B. Results showed that the formation of a hydrogen bond between ASN123, SER157 residue and Lepiotaprocerin D has strengthened the affinity of Lepiotaprocerin D with BUB1B. Hence, this study identified Lepiotaprocerin D as a potential and novel inhibitor for BUB1B that could be a plausible drug candidate for checking and controlling the spread of breast cancer metastasis.

bioinformatics↗

Experimental and In Silico interaction studies of Alpha Amylase-Silver nanoparticle: a nano-bio-conjugate

In the current work, biosynthesis of silver nanoparticle (Ag NPs) and interaction study between alpha amylase and Ag NPs/nanocluster has been performed via wet-lab as well as in silico approach. We have synthesized Ag NPs using alpha amylase enzyme which reduces the silver nitrate precursor forming the stable Ag NPs. UV-Visible spectroscopy and fluorescence spectroscopies were performed for optical characterization of Ag NPs. UV-Vis spectra showed the wide absorption band centered around 475 nm due to surface plasmon resonance. We have also observed gradual decrease in fluorescence intensity with the increase in incubation time. Also, shift in {lambda}max of the emission spectra was recorded which clearly suggested the formation of nano-bio-conjugate. Circular dichroism spectra show the initial decrease in the ellipticity, when we added the silver nitrate, but after incubating for different time, there are no major changes in secondary structure of protein. In computational study we have modelled ground state configuration of (Ag)24 nanocluster using in silico approach. Further docking of the modelled optimized nanocluster with alpha amylase was performed and found that Ag-nanocluster showing non-covalent interaction with alpha amylase and forming stable docking complex.

biophysics↗

SARS-CoV-2 Omicron Variant Wave in India: Advent, Phylogeny and Evolution

SARS-CoV-2 evolution has continued to generate variants, responsible for new pandemic waves locally and globally. Varying disease presentation and severity has been ascribed to inherent variant characteristics and vaccine immunity. This study analyzed genomic data from 305 whole genome sequences from SARS-CoV-2 patients before and through the third wave in India. Delta variant was responsible for disease in patients without comorbidity(97%), while Omicron BA.2 caused disease primarily in those with comorbidity(77%). Tissue adaptation studies brought forth higher propensity of Omicron variants to bronchial tissue than lung, contrary to observation in Delta variants from Delhi. Study of codon usage pattern distinguished the prevalent variants, clustering them separately, Omicron BA.2 isolated in February grouped away from December strains, and all BA.2 after December acquired a new mutation S959P in ORF1b (44.3% of BA.2 in the study) indicating ongoing evolution. Loss of critical spike mutations in Omicron BA.2 and gain of immune evasion mutations including G142D, reported in Delta but absent in BA.1, and S371F instead of S371L in BA.1 could possibly be due to evolutionary trade-off and explain very brief period of BA.1 in December 2021, followed by complete replacement by BA.2.

genomics↗

Loss of HOXA10 causes endometrial hyperplasia progressing to endometrial cancer

Endometrial cancer is the fourth most common malignancy in women and the precursor lesion is endometrial hyperplasia. HOXA10 is a transcription factor that plays key roles in endometrial functions such as the endowment of receptivity, embryo implantation, and trophoblast invasion. Herein, using testicular transgenesis, we developed transgenic mice that expressed an shRNA against HOXA10 and observed that in these animals there was nearly 70% reduction in the expression of HOXA10. We termed these animals as HOXA10 hypomorphs and observed that downregulation of HOXA10 led to the development of endometrial hyperplasia and most animals developed well-differentiated endometrial adenocarcinoma with age. There was an increased proliferation of the uterine glands and stromal cells in the hypomorphs along with a gain of OVGP1 expression and increased levels of ER and ER{beta}. In parallel, there was increased expression of Wnt4 and {beta}-Catenin, SOX9 and YAP1. We propose that chronic reduction in HOXA10 expression disrupts multiple pathways in the uterus that aids in the development of endometrial hyperplasia which progresses to endometrial cancer with age.

cancer biology↗

Effect of ambient fluid rheology on oscillatory instabilities in filament-motor systems

Filaments and filament bundles such as microtubules or actin interacting with molecular motors such as dynein or myosin constitute a common motif in biology. Synthetic mimics, examples being artificial muscles and reconstituted active networks, also feature active filaments. A common feature of these filament-motor systems is the emergence of stable oscillations as a collective dynamic response. Here, using a combination of classical linear stability analysis and non-linear numerical solutions, we study the dynamics of a minimal filament-motor system immersed in model viscoelastic fluids. We identify steady states, test the linear stability of these states, derive analytical stability boundaries, and investigate emergent oscillatory solutions and their properties. We show that the interplay between motor activity, aggregate elasticity and fluid viscoelasticity allows for stable oscillations or limit cycles to bifurcate from steady states. For highly viscous Newtonian media, frequencies at onset decay with viscosity as [Formula]. In viscoelastic fluids that have the same viscosity as the Newtonian fluid but additionally allow for temporary energy storage, emergent limit cycles are associated with higher frequencies. The magnitude of the increase in the frequency depends on motor mechanochemistry and the interplay between fluid relaxation time-scales and time-scales associated with motor binding and unbinding. Our results suggest that stability and dynamical response in filamentous active systems may be controlled by tailoring the rheology of the ambient environment.

biophysics↗

Prefrontal, striatal, and VTA subnetwork dynamics during novelty and exploration

Multiple distinct brain areas have been implicated in memory including the prefrontal cortex (PFC), striatum (STR), and ventral tegmental area (VTA). Information-exchange across these widespread networks requires flexible coordination at a fine time-scale. In the present study, we collected high-density recordings from the PFC, STR, and VTA of male rats during baseline, encoding, consolidation, and retrieval stages of memory formation. Novel sub-regional clustering analyses identified patterns of spatially restricted, temporally coherent, and frequency specific signals that were reproducible across days and were modulated by behavioral states. Clustering identified miniscule patches of neural tissue. Generalized eigen decomposition (GED) reduced each cluster to a single time series. Amplitude envelope correlation of the cluster time series was used to assess functional connectivity between clusters. Dense intra- and inter regional functional connectivity characterized the baseline period, with delta oscillations playing an outsized role. There was a dramatic pruning of network connectivity during encoding. Connectivity rebounded during consolidation, but connections in the theta band became stronger, and those in the delta band were weaker. Finally, during retrieval, connections were not as severely reduced as they had been during encoding, and specifically theta and higher-frequency connections were stronger. Underlying these connectivity changes, the anatomical extent of clusters observed in the gamma band in the PFC and in both the gamma and delta bands in the VTA changed markedly across behavioral conditions. These results demonstrate the brains ability to reorganize functionally at both the intra- and inter-regional levels during different stages of memory processing. SIGNIFICANCE STATEMENTThe brain is often thought of as a mosaic of areas each with static functions that activate or deactivate with task demands. Here, we used large-scale recordings (196 simultaneous electrodes) and developed a multivariate analysis approach to analyze data from all our recording locations simultaneously. This analysis revealed that the brain dramatically reorganized itself at both local and long-distance spatial scales during different stages of memory processing. These results demonstrate an extreme degree of flexibility in functional anatomy. Rather than thinking about the brain as a set of static mosaic tiles, it may better be characterized as a quickly moldable piece of clay where each parts function changes as the whole is reshaped from moment to moment.

neuroscience↗

Enhancer and super-enhancer landscape in polycystic kidney disease

Widespread aberrant gene expression is pathological hallmark of polycystic kidney disease (PKD). Numerous pathogenic signaling cascades, including c-Myc, Fos, and Jun are transactivated. However, the underlying epigenetic regulators are poorly defined. Here we show that H3K27ac, a histone modification that marks active enhancers, is elevated in mouse and human ADPKD samples. Using comparative H3K27ac ChIP-Seq analysis, we mapped >16000 active intronic and intergenic enhancer elements in Pkd1-mutant mouse kidneys. We find that the cystic kidney epigenetic landscape resembles that of a developing kidney, and >90% of upregulated genes in Pkd1-mutant kidneys are co-housed with activated enhancers in the same topologically associated domains. Furthermore, we identify an evolutionarily-conserved enhancer cluster downstream of the c-Myc gene and super-enhancers flanking both Jun and Fos loci in mouse and human ADPKD models. Deleting these regulatory elements reduces c-Myc, Jun, or Fos abundance and suppresses proliferation and 3D cyst growth of Pkd1-mutant cells. Finally, inhibiting glycolysis and glutaminolysis or activating Ppara in Pkd1-mutant cells lowers global H3K27ac levels and on c-Myc enhancers. Thus, our work suggests that epigenetic rewiring mediates the transcriptomic dysregulation in PKD, and the regulatory elements can be targeted to slow cyst growth.

molecular biology↗

Evaluation of Correlation between CD44, Radiotherapy Response and Survival Rate in Patients with Advanced Stage of Head and Neck Squamous Cell Carcinoma (HNSCC)

PurposeCancer stem cells (CSCs) constitute a distinctive subpopulation of cancer cells that are competent in tumor initiation, invasion, recurrence, and resistance to chemo-radiotherapy. CD44, a hyaluronic acid (HA) receptor has been considered as a potential CSC marker in head and neck cancer. The purpose of this study is to evaluate the correlation between CD44 and clinicopathological parameters, treatment response, survival, and recurrence. MethodsCD44 expression was examined by immunohistochemistry (IHC) in 90 samples of head and neck squamous cell carcinoma (HNSCC) confirmed patients. Expression of CD44 and its association with clinicopathological parameters, treatment response, and survival was determined. ResultsIn all HNSCC patient samples, CD44 was expressed consistently at different intensities. Tumor size (p<0.001), stage (p<0.001) and treatment response (p<0.001) showed statistically significant association with CD44 expression. Alcohol and CD44 were observed as independent predictors of response to radiotherapy by using multivariate ordinal logistic regression analysis. Analysis of 2 years overall survival (OS) showed that CD44 expression (p=0.02), tumor size (p=0.001), lymph node status (p<0.001), stage (p<0.001) and grade (p=0.007) were significantly associated with OS. By using Cox regression analysis, lymph node status (p=0.001), grade (p<0.001), recurrence (p<0.001) and CD44 expression (p=0.003) were found to be potential independent predictors of OS. ConclusionOur findings suggest that CD44 contributes to resistance to radiotherapy and poor OS. The results also suggest that except for CD44 there could be other factors such as lymph node metastasis, grade, and alcohol which should be investigated as potential targets for therapy.

cancer biology↗

Increased 20-HETE signaling suppresses neurovascular coupling after ischemic stroke in regions beyond the infarct

Neurovascular coupling, the process by which neuronal activity elicits increases in the local blood supply, is impaired in stroke patients in brain regions outside the infarct. Such impairment may contribute to neurological deterioration over time, but its mechanism is unknown. Using the middle cerebral artery occlusion (MCAO) model of stroke, we show that neuronal activity-evoked capillary dilation is reduced by [~]75% in the intact cortical tissue outside the infarct border. This decrease in capillary responsiveness was not explained by a decrease in local neuronal activity or a loss of vascular contractility. Inhibiting synthesis of the vasoconstrictive molecule 20-HETE, either by inhibiting its synthetic enzyme CYP450 {omega}-hydroxylases or by increasing nitric oxide (NO), which is a natural inhibitor of {omega}-hydroxylases, rescued activity-evoked capillary dilation. The capillary dilation unmasked by inhibiting 20-HETE was dependent on PGE2 activation of EP4 receptors, a vasodilatory pathway previously identified in healthy animals. Cortical 20-HETE levels were increased following MCAO, in agreement with data from stroke patients. Inhibition of {omega}-hydroxylases normalized 20-HETE levels in vivo and increased cerebral blood flow in the peri-infarct cortex. These data identify 20-HETE-dependent vasoconstriction as a mechanism underlying neurovascular coupling impairment after stroke. Our results suggest that the brains energy supply may be significantly reduced after stroke in regions previously believed to be asymptomatic and that {omega}-hydroxylase inhibition may restore healthy neurovascular coupling post-stroke.

neuroscience↗

Natural infection of SARS-CoV-2 delta variant in Asiatic lions (Panthera leo persica) in India

In May 2021, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was detected in nine Asiatic lions (Panthera leo persica) in Arignar Anna Zoological Park, Chennai, Tamil Nadu, India. Sequence and phylogenetic analysis showed that the SARS-CoV-2 viruses belong to a variant of concern (VOC, delta variant, B.1.617.2 lineage) and that these viruses clustered with B.1.617.2 lineage viruses of the same geographical region detected in the same month.

microbiology↗

Role of mitochondrial genetic interactions in determining adaptation to high altitude in human population around the globe

Physiological and haplogroup studies performed to understand high-altitude adaptation in humans are limited to individual genes and polymorphic sites. Due to stochastic evolutionary forces, the frequency of a polymorphism is affected by changes in the frequency of a near-by polymorphism on the same DNA sample making them connected in terms of evolution. Here, first we provide a method to model these mitochondrial polymorphisms as "co-mutation networks" for three high-altitude populations, Tibetan, Ethiopian and Andean. Then, by transforming these co-mutation networks into weighted and undirected gene-gene interaction (GGI) networks, we were able to identify functionally enriched genetic interactions of CYB and CO3 genes in Tibetan and Andean populations, while NADH dehydrogenase genes in Ethiopian population playing a significant role in high altitude adaptation. These co-mutation based genetic networks provide insights into the role of different set of genes in high-altitude adaptation human sub-populations.

bioinformatics↗

Selective nuclear export of mRNAs is promoted by DRBD18 in Trypanosoma brucei

Kinetoplastids, including Trypanosoma brucei, control gene expression primarily at the posttranscriptional level. Nuclear mRNA export is an important, but understudied, step in this process. The general heterodimeric export factors, Mex67/Mtr2, function in the export of mRNAs and tRNAs in T. brucei, but RNA binding proteins (RBPs) that regulate export processes by controlling the dynamics of Mex67/Mtr2 ribonucleoprotein formation or transport have not been identified. Here, we report that DRBD18, an essential and abundant T. brucei RBP, associates with Mex67/Mtr2 in vivo, likely through its direct interaction with Mtr2. DRBD18 downregulation results in partial accumulation of poly(A)+ mRNA in the nucleus, but has no effect on localization of intron-containing or mature tRNAs. Comprehensive analysis of transcriptomes from whole cell and cytosol in DRBD18 knockdown parasites demonstrates that depletion of DRBD18 leads to impairment of nuclear export of a subset of mRNAs. CLIP experiments reveal association of DRBD18 with several of these mRNAs. Moreover, DRBD18 knockdown leads to a partial accumulation of the Mex67/Mtr2 export receptors in the nucleus. Taken together, the current study supports a model in which DRBD18 regulates the selective nuclear export of mRNAs by promoting the mobilization of export competent mRNPs to the cytosol through the nuclear pore complex.

microbiology↗

Comprehensive assessment of Indian variations in the druggable kinome landscape highlights distinct insights at the sequence, structure and pharmacogenomic stratum

India confines more than 17% of the worlds population and has a diverse genetic makeup with several clinically relevant rare mutations belonging to many sub-group which are undervalued in global sequencing datasets like the 1000 Genome data (1KG) containing limited samples for Indian ethnicity. Such databases are critical for the pharmaceutical and drug development industry where the diversity plays a crucial role in identifying genetic disposition towards adverse drug reactions. A qualitative and comparative sequence and structural study utilizing variant information present in the recently published, largest curated Indian genome database (IndiGen) and the 1000 Genome data was performed for variants belonging to the kinase coding genes,the second most targeted group of drug targets. The sequence level analysis identified similarities and differences among different populations based on the nsSNVs and amino acid exchange frequencies whereas comparative structural analysis of IndiGen variants was performed with pathogenic variants reported in UniProtKB Humsavar data. The influence of these variations on structural features of the protein, such as structural stability, solvent accessibility, hydrophobicity, and the hydrogen-bond network were investigated. In-silico screening of the known drugs to these Indian variation-containing proteins reveal critical differences imparted in the strength of binding due to the variations present in the Indian population. In conclusion, this study constitutes a comprehensive investigation into the understanding of common variations present in the second largest population in the world, and investigating its implications in the sequence, structural and pharmacogenomic landscape. The preliminary investigation reported in this paper, supporting the screening and detection of ADRs specific to the Indian population could aid in the development of techniques for pre-clinical and post-market screening of drug-related adverse events in the Indian population.

genomics↗

Dimerization of SARS-CoV-2 nucleocapsid protein affects sensitivity of ELISA based diagnostics of COVID-19

Diagnostics has played a significant role in effective management of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Nucleocapsid protein (N protein) is the primary antigen of the virus for development of sensitive diagnostic assays. Thus far, limited knowledge exists about the antigenic properties of the N protein. In this paper, we demonstrate the significant impact of dimerization of SARS-CoV-2 nucleocapsid protein on sensitivity of enzyme-linked immunosorbent assay (ELISA) based diagnostics of COVID-19. The expressed purified protein from E.coli consists of two forms, dimeric and monomeric forms, which have been further characterized by biophysical and immunological means. Indirect ELISA indicated elevated susceptibility of the dimeric form of the nucleocapsid protein for identification of protein-specific monoclonal antibody as compared to the monomeric form of the protein. These findings have also been confirmed with the modelled structure of monomeric and dimeric nucleocapsid protein via HHPred software and its solvent accessible surface area, which indicates higher stability and antigenicity of the dimeric type as compared to the monomeric form. It is evident that use of the dimeric form will increase the sensitivity of the current nucleocapsid dependent ELISA for rapid COVID-19 diagnostic. Further, the results indicate that monitoring and maintaining of the monomerdimer composition is critical for accurate and robust diagnostics. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=135 SRC="FIGDIR/small/445305v2_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@16bf153org.highwire.dtl.DTLVardef@1b0be6corg.highwire.dtl.DTLVardef@a5b3aeorg.highwire.dtl.DTLVardef@b784a3_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

Dynamics of a hepatocyte-cholangiocyte decision-making gene regulatory network during liver development and regeneration

Liver is one of the few organs with immense regenerative potential even at adulthood in mammals. It is composed of primarily two cell types: hepatocytes and cholangiocytes, that can trans-differentiate to one another either directly or through intermediate progenitor states, contributing to remarkable regenerative potential of the liver. However, the dynamical features of decision-making between these cell-fates during liver development and regeneration remains elusive. Here, we identify a core gene regulatory network comprising c/EBP, TGFBR2 and SOX9 that underlies liver development and injury-induced reprogramming. Dynamic simulations for this network reveal its multistable nature, enabling three distinct cell states - hepatocytes, cholangiocytes and liver progenitor cells (hepatoblasts/oval cells) - and stochastic switching among them. Predicted expression signature for these three states are validated through multiple bulk and single-cell transcriptomic datasets collected across developmental stages and injury-induced liver repair. This network can also explain the experimentally observed spatial organisation of phenotypes in liver parenchyma and predict strategies for efficient cellular reprogramming among these cell-fates. Our analysis elucidates how the emergent multistable dynamics of underlying gene regulatory networks drive diverse cell-state decisions in liver development and regeneration.

developmental biology↗