Biology subjects

Patel, A.

Publications and source records attributed to Patel, A..

At least 55 records · Page 3Linked to original sources

bioRxiv2025

Aerobicity stimulon in Escherichia coli revealed using multi-scale computational systems biology of adapted respiratory variants

Energy homeostasis facilitated by the interplay of substrate-level and oxidative phosphorylation is crucial for bacterial adaptation to diverse substrates and environments. To investigate how bioenergetic systems optimize under restrictive conditions, we evolved ETS variants with distinct proton-pumping efficiencies (1, 2, 3, or 4 proton(s) per electron) on succinate and glycerol. These substrates impose unique metabolic constraints: succinate requires complete gluconeogenesis, while glycerol supports mixed glycolytic and gluconeogenic fluxes. Multi-scale computational analysis of the strains revealed (a) Growth optimization across carbon substrates for multiple ETS variants, (b) A conserved aerobicity stimulon comprising seven independently regulated gene groups that are co-regulated with increasing aerobic capacities, (c) Proteome reallocation linked to aerobicity, validated using genome-scale metabolism and expression modeling, and (d) Carbon source-specific compensatory mutations in succinate transporters and regulatory elements. These findings define the aerobicity stimulon and establish a unifying framework for understanding bacterial respiratory flexibility, demonstrating how transcriptional networks and metabolic systems integrate to achieve energy homeostasis and bioenergetic resilience.

systems biology↗

bioRxiv2025

Regulation of hematopoietic stem cell (HSC) proliferation by Epithelial Growth Factor Like-7 (EGFL7)

Understanding the pathways regulating normal and malignant hematopoietic stem cell (HSC) biology is important for improving outcomes for patients with hematologic disorders. Epithelial Growth Factor Like-7 (EGFL7) is [~]30 kDa secreted protein that is highly expressed in adult HSCs. Using Egfl7 genetic knock-out (Egfl7 KO) mice and recombinant EGFL7 (rEGFL7) protein, we examined the role of Egfl7 in regulating normal hematopoiesis. We found that Egfl7 KO mice had decreases in overall BM cellularity resulting in significant reduction in the number of hematopoietic stem and progenitor cells (HSPCs), which was due to dysregulation of normal cell-cycle progression along with a corresponding increase in quiescence. rEGFL7 treatment rescued our observed hematopoietic defects of Egfl7 KO mice and enhanced HSC expansion after genotoxic stress such as 5-FU and irradiation. Furthermore, treatment of WT mice with recombinant EGFL7 (rEGFL7) protein expands functional HSCs evidenced by an increase in transplantation potential. Overall, our data demonstrates a role for EGFL7 in HSC expansion and survival and represents a potential strategy for improving transplant engraftment or recovering bone marrow function after stress.

cell biology↗

bioRxiv2025

Database Permeating through Time, Space, and Medicine: A sequence, structure, and clinical compilation and comparison of transmembrane amino acids in VGL ion channels

Ion channels of the VGL superfamily are extremely diverse in their physiological roles - critical in all excitable cells. Mutations in these channels can cause clinical deficits and symptomologies. With recent advances in sequencing and structural data in the past 30 years, there is a plethora of bioinformatic information that experimentalists can utilize to draw hypotheses about structure and function. However, there is no cohesive database that has compiled this data and presents it in an easily accessible and avoids the confounds of close evolutionary lineages. Here, we seek to fill this gap in resources by compiling and comparing groups of sequences and structures across many channels of the VGL superfamily. Additionally, we corroborate the well-conserved amino acid positions with previous experimental work as well as put forth some understudied but well-conserved amino acid positions that might be fundamental to the certain generalizable mechanisms present in the VGL superfamily channels. To further lend evidence to understudied positions being critical to certain generalizable mechanisms, we also compiled clinical mutation data at these positions across many channels to show the likely functional relevance of these positions. Finally, we will make all of the alignments and resources we generated publicly available at https://github.com/Frank-Yeh-95/VGLDatabaseCompilation for ease of hypothesis generation.

biophysics↗

bioRxiv2024

A compendium of nonredundant short Polymerase III promoters for CRISPR applications

Multiplex genome editing via CRISPR enables simultaneous gene knockout, activation, and repression, but current toolkits often rely on repetitive and lengthy Pol III promoters, limiting construct diversity and genetic stability. Here, we present a diverse collection of minimal U6 and U3 Pol III promoters that support efficient guide RNA (gRNA) expression in dicots. Using CRISPR-Cas9 editing of mEGFP in Nicotiana benthamiana and Populus tremula x alba, we demonstrate that minimal promoters can match the performance of their longer counterparts. A systematic evaluation of 14 short promoters revealed that most are functional across species, with exceptions linked to sequence variations in the upstream sequence element (USE) and TATA box. Mutagenesis confirmed the causal role of specific nucleotide changes in promoter activity. Furthermore, we show that regions outside these conserved motifs can be modified to create new-to-nature, functional promoters. This work refines the consensus for functional Pol III promoter elements and expands the toolkit for efficient, stable, and scalable CRISPR editing in dicots, with implications for synthetic promoter design.

plant biology↗

bioRxiv2024

Common AAV gene therapy vectors show indiscriminate transduction of living human brain cell types

The development of cell-type-specific gene therapy vectors for treating neurological diseases holds great promise, but has relied on animal models with limited translational utility. We have adapted an ex vivo organotypic model to evaluate adeno-associated virus (AAV) transduction properties in living slices of human brain tissue. Using fluorescent reporter expression and single-nucleus RNA sequencing, we found that common AAV vectors show broad transduction of normal cell types, with protein expression most apparent in astrocytes; this work introduces a pipeline for identifying and optimizing AAV gene therapy vectors in human brain samples.

bioengineering↗

bioRxiv2024

Human Stem Cell-derived Kidney Collecting Duct Model via Epithelial Microphysiological Analysis Platform: Epi-MAP

The kidney epitheliums pivotal role in molecular filtration, metabolism, and excretion highlights the crucial importance of understanding kidney physiology in drug development. However, our knowledge is largely derived from non-human or non-physiological models, potentially limiting its applicability to humans. To address this significant gap, we have pioneered a human kidney epithelial microphysiological analysis platform (Epi-MAP) designed to establish, mature, and monitor renal functions of the human collecting epithelium within a physiologically relevant microenvironment. We first demonstrate the highly mature collecting duct physiology derived from human stem cells, enabled by the Epi-MAPs microenvironments that recapitulate in vivo asymmetries in fluidic and biochemical conditions. The integrated biosensors of the Epi-MAP provide long-term, time-resolved epithelial maturation trajectories, revealing advanced integrity and functional maturity with transepithelial metrics. Furthermore, Epi-MAPs electrophysiological analytics for measuring water flux, in conjunction with transepithelial potential and resistance, allow for real-time decoding of intricate epithelial responses to substance stimulation, showcasing its effectiveness as a robust pharmacological test model. This human cell-derived, physiologically advanced model on a chip stands as a robust in vitro tool, offering comprehensive insights into human kidney biology and significantly enhancing drug discovery process based on human physiology.

bioengineering↗

bioRxiv2024

Systematic benchmarking of mass spectrometry-based antibody sequencing reveals methodological biases

The circulating antibody repertoire is crucial for immune protection, holding significant immunological and biotechnological value. While bottom-up mass spectrometry (MS) is the most widely used proteomics technique for profiling the sequence diversity of circulating antibodies (Ab-seq), it has not been thoroughly benchmarked. We quantified the replicability and robustness of Ab-seq using six monoclonal antibodies with known protein sequences in 70 different combinations of concentration and oligoclonality, both with and without polyclonal serum IgG background. Each combination underwent four protease treatments and was analyzed across four experimental and three technical replicates, totaling 3,360 LC-MS/MS runs. We quantified the dependence of MS-based Ab-seq identification on antibody sequence, concentration, protease, background signal diversity, and bioinformatics setups. Integrating the data from experimental replicates, proteases, and bioinformatics tools enhanced antibody identification. De novo peptide sequencing showed similar performance to database-dependent methods for higher antibody concentrations, but de novo antibody reconstruction remains challenging. Our work provides a foundational resource for the field of MS-based antibody profiling.

immunology↗

bioRxiv2024

Cargo-selective regulation of clathrin-mediated endocytosis by AMP-activated protein kinase

The cell surface abundance of many proteins is controlled by clathrin-mediated endocytosis (CME). CME is driven by the assembly of clathrin and other proteins on the inner leaflet of the plasma membrane into clathrin-coated pits (CCPs). Regulation of CCP dynamics allows for control of the function of specific cell surface proteins, impacting a range of cellular outcomes. AMP-activated protein kinase (AMPK) becomes activated upon metabolic insufficiency and facilitates cellular adaptation to nutrient stress. Here, we examined how AMPK regulates CME and the cell surface membrane traffic of {beta}1-integrin. We find that AMPK controls CCP dynamics and regulates the abundance of the endocytic adaptor protein Dab2 within CCPs in a manner that requires the GTPase Arf6, thus selectively promoting the CCP recruitment and internalization of {beta}1-integrin. This reveals a novel signaling pathway for cargo-selective metabolic regulation of CME by AMPK, impacting the function of cell surface proteins such as integrins.

cell biology↗

bioRxiv2024

Development of Clinically Viable Non-Muscle Myosin II Small Molecule Inhibitors with Broad Therapeutic Potential

Non-muscle myosin II (NMII), a molecular motor that regulates critical processes such as cytokinesis and neuronal synaptic plasticity, has substantial therapeutic potential. However, translating this potential to in vivo use has been hampered by the lack of selective tools. The most prototypical non-selective inhibitor, blebbistatin inactivates both NMII and cardiac myosin II (CMII), a key regulator of heart function. Using rational drug design, we developed a series of NMII inhibitors that improve tolerability by selectively targeting NMII over CMII, including MT-228, which has excellent properties such as high brain penetration and efficacy in preclinical models of stimulant use disorder, which has no current FDA-approved therapies. The structure of MT-228 bound to myosin II provides insight into its 17-fold selectivity for NMII over CMII. MT-228s broad therapeutic window opens the door to new disease treatments and provides valuable tools for the scientific community, along with promising leads for future medication development. HighlightsO_LIResearch suggests numerous indications, from axon regeneration and cancer, would benefit from a small molecule inhibitor of non-muscle myosin II, a molecular motor that regulates the actin cytoskeleton. C_LIO_LICurrent chemical probe options are very limited and lack sufficient safety for in vivo C_LIO_LIstudies, which we show is primarily due to potent inhibition of cardiac myosin II. C_LIO_LIRational design that focused on improving target selectivity over the pan-myosin II inhibitor, blebbistatin, led to the identification of MT-228, a small molecule inhibitor with a wide therapeutic window. C_LIO_LIHigh-resolution structure of MT-228 bound to myosin II reveals that selectivity results from a different positioning compared to blebbistatin and an important sequence difference between cardiac and non-muscle myosin II in the inhibitor binding pocket. C_LIO_LIA single administration of MT-228 shows long-lasting efficacy in animal models of stimulant use disorder, a current unmet and rapidly escalating need with no FDA-approved treatments. C_LI

cell biology↗

bioRxiv2024

Deep Mining of the Human Antibody Repertoire Identifies Frequent and Immunogenetically Diverse CDRH3 Topologies Targetable by Vaccination

Germline targeting vaccination strategies against highly variable pathogens such as HIV aim to elicit broadly neutralizing antibodies (bnAbs) with particular immunogenetic or structural features. The V2 apex of the HIV Env protein is a promising target for a class of bnAbs that contain conserved structural motifs in the heavy chain complementarity determining region 3 (CDRH3). Here, we show that these structural motifs are targetable by vaccination by characterizing V2 apex axe-like CDRH3s in the human repertoire and developing new immunogens capable of engaging them. We determined the frequency and diversity of axe-like CDHR3s in healthy human donors using a series of structural informatics approaches, finding these precursors in nearly 90% of donors. Axe-targeting immunogens based on the HIV Env Q23.17 bound axe-like precursors in cryo-EM structures, induced V2 apex-specific antibody responses in humanized mice, and induced axe-like heterologous neutralizing antibodies in rhesus macaques infected with a germline-targeted simian-human immunodeficiency virus. These results illustrate a new structure-guided immunoinformatic vaccine design paradigm that can be employed to elicit immunogenetically diverse yet structurally conserved classes of antibodies. Significance StatementMany broadly neutralizing antibodies (bnAbs) utilize modes of epitope recognition dominated by the antibody complementarity determining region 3 (CDRH3). The CDRH3 is the most diverse part of the antibody, posing a challenge for germline targeting vaccine designs that aim to elicit antibodies with particular immunogenetic features. Vaccine design strategies that accommodate CDRH3 variability are therefore needed. Many HIV Env V2 apex bnAbs share "axe-like" CDRH3 microfolds that arise from diverse immunogenetic origins. Here we determined the frequency in humans of B cells with such CDRH3 topologies and designed immunogens to engage their precursors. This work opens a path toward vaccines that engage specific structural classes of B cells, thereby advancing the rational design of immunogens for HIV and other pathogens.

immunology↗

bioRxiv2024

Serum proteomics reveals high-affinity and convergent antibodies by tracking SARS-CoV2 hybrid immunity to emerging variants of concern

The rapid spread of SARS-CoV2 and continuing impact on human health has prompted the need for effective and rapid development of monoclonal antibody therapeutics. In this study, we interrogate polyclonal antibodies in serum and B cells from whole blood of three donors with SARS-CoV2 immunity to find high-affinity anti-SARS-CoV2 antibodies to escape variants. Serum IgG antibodies were selected by affinity to the receptor-binding domain (RBD) and non-RBD sites on the spike protein of Omicron subvariant B.1.1.529 from each donor. Antibodies were analyzed by bottom-up mass spectrometry, and matched to single- and bulk-cell sequenced repertoires for each donor. Antibodies observed in serum were recombinantly expressed, and characterized to assess domain binding, cross-reactivity between different variants, and capacity to inhibit RBD binding to host protein. Donors infected with early Omicron subvariants had serum antibodies with subnanomolar affinity to RBD that show binding activity to a newer Omicron subvariant BQ.1.1. The donors also showed a convergent immune response. Serum antibodies and other single- and bulk-cell sequences were similar to publicly reported anti-SARS-CoV-2 antibodies, and characterized serum antibodies had the same variant-binding and neutralization profiles as their reported public sequence. The serum antibodies analyzed were a subset of anti-SARS-CoV2 antibodies in the B cell repertoire, which demonstrates significant dynamics between the B cells and circulating antibodies in peripheral blood.

immunology↗

bioRxiv2024

Structural basis of SARS-Cov-2 spike recognition by engineered synthetic multivalent VHH antibodies

High-throughput technologies such as next-generation sequencing (NGS), microarray-based gene synthesis, and phage display have empowered the discovery and engineering of precisely defined, synthetic antibodies with high avidity and drug-like features. Here, we describe a scalable process for engineering homo- and hetero-hexavalent variable domains of camelid heavy-chain (VHH)-Fc antibodies against the severe acute respiratory coronavirus 2 (SARS-CoV-2) spike (S) protein. Overall, we demonstrate that VHH trimerization is an effective and modular approach for increasing the affinity of anti-S1 VHH-Fc antibodies for the highly mutated S proteins of SARS-CoV-2 variants. We show that one specific nanobody (named TB201-1) binds spike trimer protein at the interface of two neighboring RBDs, recognizing one distinct epitope on one RBD but making a set of secondary interactions with the neighboring RBD. From this structure, we determine the epitope-paratope residues responsible for spike-nanobody interaction and how mutations found in the SARS-CoV-2 variants contribute to oblate TB201-1 binding. This approach could be leveraged to improve existing antibody-based diagnostics and therapeutics targeting SARS-CoV-2 as the virus evolves.

bioengineering↗

bioRxiv2024

Genomic mosaicism reveals developmental organization of trunk neural crest-derived ganglia

The neural crest generates numerous cell types, but conflicting results leave developmental origins unresolved. Here using somatic mosaic variants as cellular barcodes, we infer embryonic clonal dynamics of trunk neural crest, focusing on the sensory and sympathetic ganglia. From three independent adult neurotypical human donors, we identified 1,278 mosaic variants using deep whole-genome sequencing, then profiled allelic fractions in 187 anatomically dissected ganglia. We found a massive rostrocaudal spread of progenitor clones specific to sensory or sympathetic ganglia, which unlike in the brain, showed robust bilateral distributions. Computational modeling suggested neural crest progenitor fate specification preceded delamination from neural tube. Single-cell multiomic analysis suggested both neurons and glia contributed to the rostrocaudal clonal organization. CRISPR barcoding in mice and live imaging in quail embryos confirmed these clonal dynamics across multiple somite levels. Our findings reveal an evolutionarily conserved clonal spread of cells populating peripheral neural ganglia. Highlights- Genetic mosaicism and real-time imaging reveal trunk neural crest cellular dynamics. - DRG or SG cells from different axial levels are more lineage-related than from the same level. - Cell fate specification of trunk neural crest progenitors occurs before neural tube delamination. - These aspects of clonal organization are evolutionarily conserved across mammals and avians.

developmental biology↗

bioRxiv2024

Design and immunogenicity of an HIV-1 clade C pediatric envelope glycoprotein stabilized by multiple platforms

Various design platforms are available to stabilize soluble HIV-1 envelope (Env) trimers, which can be used as antigenic baits and vaccine antigens. However, stabilizing HIV-1 clade C trimers can be challenging. Here, we stabilized an HIV-1 clade C trimer based on an Env isolated from a pediatric elite-neutralizer (AIIMS_329) using multiple platforms, including SOSIP.v8.2, ferritin nanoparticles (NP) and an I53-50 two-component NP, followed by characterization of their biophysical, antigenic, and immunogenic properties. The stabilized 329 Envs showed binding affinity to trimer-specific HIV-1 broadly neutralizing antibodies (bnAbs), with negligible binding to non-neutralizing antibodies (non-nAbs). Negative-stain electron microscopy (nsEM) confirmed the native-like conformation of the Envs. Multimerization of 329 SOSIP.v8.2 on ferritin and two-component I53-50 NPs improved the overall affinity to HIV-1 bnAbs and immunogenicity in rabbits. These stabilized HIV-1 clade C 329 Envs demonstrate the potential to be used as antigenic baits and as components of multivalent vaccine candidates in future.

immunology↗

bioRxiv2024

Adaptive protein synthesis in genetic models of copper deficiency and childhood neurodegeneration

Rare inherited diseases caused by mutations in the copper transporters SLC31A1 (CTR1) or ATP7A induce copper deficiency in the brain, causing seizures and neurodegeneration in infancy through poorly understood mechanisms. Here, we used multiple model systems to characterize the molecular mechanisms by which neuronal cells respond to copper deficiency. Targeted deletion of CTR1 in neuroblastoma cells produced copper deficiency that was associated with a metabolic shift favoring glycolysis over oxidative phosphorylation. Proteomic and transcriptomic analysis of CTR1 KO cells revealed simultaneous upregulation of mTORC1 and S6K signaling and reduced PERK signaling. Patterns of gene and protein expression and pharmacogenomics show increased activation of the mTORC1-S6K pathway as a pro-survival mechanism, ultimately resulting in increased protein synthesis. Spatial transcriptomic profiling of Atp7aflx/Y :: Vil1Cre/+ mice identified upregulated protein synthesis machinery and mTORC1-S6K pathway genes in copper-deficient Purkinje neurons in the cerebellum. Genetic epistasis experiments in Drosophila demonstrated that copper deficiency dendritic phenotypes in class IV neurons are partially rescued by increased S6k expression or 4E-BP1 (Thor) RNAi, while epidermis phenotypes are exacerbated by Akt, S6k, or raptor RNAi. Overall, we demonstrate that increased mTORC1-S6K pathway activation and protein synthesis is an adaptive mechanism by which neuronal cells respond to copper deficiency. SignificanceO_LICopper deficiency is present in rare conditions such as Menkes disease and CTR1 deficiency and in more common diseases like Alzheimers. The mechanisms of resilience and ultimate susceptibility to copper deficiency and associated pathology in the brain remain unknown. C_LIO_LIWe demonstrate that in a human cell line, Drosophila, and the mouse cerebellum, copper-deficient neuronal cells exhibit increased protein synthesis through mTORC1 activation and decreased PERK (EIF2AK3) activity. C_LIO_LIUpregulation of protein synthesis facilitates resilience of neuronal cells to copper deficiency, including partial restoration of dendritic arborization. Our findings offer a new framework for understanding copper deficiency-related pathology in neurological disorders. C_LI

neuroscience↗

bioRxiv2024

Dendritic cell effector mechanisms and tumor immune microenvironment infiltration define TLR8 modulation and PD-1 blockade

The potent immunostimulatory effects of toll-like receptor 8 (TLR8) agonism in combination with PD-1 blockade have resulted in various preclinical investigations, yet the mechanism of action in humans remains unknown. To decipher the combinatory mode of action of TLR8 agonism and PD-1 blockade, we employed a unique, open-label, phase 1b pre-operative window of opportunity clinical trial (NCT03906526) in head and neck squamous cell carcinoma (HNSCC) patients. Matched pre- and post-treatment tumor biopsies from the same lesion were obtained. We used single-cell RNA sequencing and custom multiplex staining to leverage the unique advantage of same-lesion longitudinal sampling. Patients receiving dual TLR8 agonism and anti-PD-1 blockade exhibited marked upregulation of innate immune effector genes and cytokines, highlighted by increased CLEC9A+ dendritic cell and CLEC7A/SYK expression. This was revealed via comparison with a previous cohort from an anti-PD-1 blockade monotherapy single-cell RNA sequencing study. Furthermore, in dual therapy patients, post-treatment mature dendritic cells increased in adjacency to CD8+ T-cells. Increased tumoral cytotoxic T-lymphocyte densities and expanded CXCL13+CD8+ T- cell populations were observed in responders, with increased tertiary lymphoid structures (TLSs) across all three patients. This study provides key insights into the mode of action of TLR8 agonism and anti-PD-1 blockade immune targeting in HNSCC patients.

immunology↗

bioRxiv2024

Flexible use of conserved motif vocabularies constrains genome access in cell type evolution

Cell types evolve into a hierarchy with related types grouped into families. How cell type diversification is constrained by the stable separation between families over vast evolutionary times remains unknown. Here, integrating single-nucleus multiomic sequencing and deep learning, we show that hundreds of sequence features (motifs) divide into distinct sets associated with accessible genomes of specific cell type families. This division is conserved across highly divergent, early-branching animals including flatworms and cnidarians. While specific interactions between motifs delineate cell type relationships within families, surprisingly, these interactions are not conserved between species. Consistently, while deep learning models trained on one species can predict accessibility of other species sequences, their predictions frequently rely on distinct, but synonymous, motif combinations. We propose that long-term stability of cell type families is maintained through genome access specified by conserved motif sets, or vocabularies, whereas cell types diversify through flexible use of motifs within each set.

evolutionary biology↗

bioRxiv2024

Disrupted developmental signaling induces novel transcriptional states

Signaling pathways induce stereotyped transcriptional changes as stem cells progress into mature cell types during embryogenesis. Signaling perturbations are necessary to discover which genes are responsive or insensitive to pathway activity. However, gene regulation is additionally dependent on cell state-specific factors like chromatin modifications or transcription factor binding. Thus, transcriptional profiles need to be assayed in single cells to identify potentially multiple, distinct perturbation responses among heterogeneous cell states in an embryo. In perturbation studies, comparing heterogeneous transcriptional states among experimental conditions often requires samples to be collected over multiple independent experiments. Datasets produced in such complex experimental designs can be confounded by batch effects. We present Design-Aware Integration of Single Cell ExpEriments (DAISEE), a new algorithm that models perturbation responses in single-cell datasets with a complex experimental design. We demonstrate that DAISEE improves upon a previously available integrative non-negative matrix factorization framework, more efficiently separating perturbation responses from confounding variation. We use DAISEE to integrate newly collected single-cell RNA-sequencing datasets from 5-hour old zebrafish embryos expressing optimized photoswitchable MEK (psMEK), which globally activates the extracellular signal-regulated kinase (ERK), a signaling molecule involved in many cell specification events. psMEK drives some cells that are normally not exposed to ERK signals towards other wild type states and induces novel states expressing a mixture of transcriptional programs, including precociously activated endothelial genes. ERK signaling is therefore capable of introducing profoundly new gene expression states in developing embryos. Significance StatementSignaling perturbations produce heterogeneous transcriptional responses that must be measured at the single-cell level. Data integration techniques allow us to model these responses which, however, can be confounded by batch effects. We present a computational tool (DAISEE) for extracting the common and perturbation-specific features of single-cell datasets representing multiple experimental conditions while achieving efficient batch effect correction. DAISEE outperforms its predecessor and will enable accurate analysis of a broad range of single-cell datasets. DAISEE applied to new single-cell RNA sequencing data from zebrafish embryos shows that gain-of-function signaling perturbations can induce novel states. Our analysis suggests that a wild type endothelial cell-specification program can be activated in abnormal developmental contexts when the extracellular signal-regulated kinase (ERK) pathway is deregulated.

developmental biology↗