Biology subjects

Shimizu, H.

Publications and source records attributed to Shimizu, H..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Human TIMELESS, a potential circadian clock regulator, plays an essential role in survival and reawakening of metastasis-initiating cells in bone

Bone metastasis is becoming increasingly common globally. In such cases, cancer cells disseminate from the primary site to bone, subsequently entering a dormant state. Following a certain incubation period, the cells reawaken and grow, forming a metastatic mass. These dormant cells are called metastasis-initiating cells (MICs), but their survival and reawakening are poorly understood. Here, we established an in vivo MIC-reawakening mouse model in bone. Microarray analysis demonstrated enrichment for mitochondrial oxidative phosphorylation (OXPHOS) and fatty acid synthesis in isolated MICs. In addition, transcriptional regulator TIMELESS was identified as an independent poor prognostic factor by using clinical transcriptomic datasets, which was validated by immunostaining on 209 breast cancer cases. TIMELESS-deficient breast, prostate, and bladder cancer cell lines exhibited reduced viability and MIC reawakening in bone. Single-cell analysis on the epigenetic landscape of MICs revealed that motif activities of CLOCK and BMAL1/ARNTL were enhanced in a cluster with increased TIMELESS accessibility scores. As TIMELESS regulates stemness through the OXPHOS metabolic state, an inhibitor targeting the metabolic pathway, MP-A08, was identified to suppress MIC reawakening and growth in bone more efficiently than cisplatin. These results suggest that TIMELESS regulates survival and reawakening in MICs and MP-A08 could contribute to adjuvant therapeutic strategies.

cancer biology↗

bioRxiv2025

BaCNet: Deep Learning Accelerates Novel Antibiotic Discovery Against Resistant Pathogens

Drug-resistant infections pose a global health challenge and necessitate the rapid development of novel antibiotics. Although high-speed and high-accuracy in silico drug discovery methods using AI have been established, only a few approaches that specifically target antibiotic development have been developed. This gap significantly limits our ability to rapidly discover effective antibacterials against emerging resistant pathogens. Here, we have developed BaCNet, an AI system that accurately predicts the binding affinity between bacterial proteins and compounds using only amino acid sequences and compound SMILES representations. Our approach integrates a protein language model with three complementary compound embedding methods, achieving high prediction accuracy and effectively maintaining performance when tested on previously unseen bacterial species. BaCNet successfully rediscovered known antibiotics and identified promising novel candidates, with molecular dynamics simulations confirming stable binding of top hits. Moreover, by integrating a compound generation and optimization system with BaCNet, we discovered novel compounds not present in existing databases with significantly enhanced predicted antibacterial activity. BaCNet represents a promising platform that could accelerate the identification of urgently needed treatments against resistant pathogens.

pharmacology and toxicology↗

bioRxiv2025

AMP-Atlas: Comprehensive Atlas of Antimicrobial Peptides to Combat Multidrug-resistant Bacteria

The escalating threat of infections caused by drug-resistant bacteria poses a significant global health challenge, with projections estimating 10 million annual deaths by 2050. While the development of conventional antibiotics has stagnated since the late 1990s, antimicrobial peptides (AMPs), short amino acid sequences exhibiting potent antimicrobial activity, have emerged as a promising alternative, demonstrating efficacy even against drug-resistant bacteria. However, despite the identification of numerous AMPs, their translation into clinically approved therapeutics remains limited, highlighting the critical need for accelerated discovery methods that transcend traditional experimental screening. Here, we introduce AMP-Atlas, an AI system inspired by cutting-edge natural language processing, designed to accurately predict antimicrobial activity from peptide sequences alone. AMP-Atlas achieves state-of-the-art performance, outperforming existing methods in AMP identification. Furthermore, we leveraged AMP-Atlas to screen human indigenous bacterial flora species, revealing a vast reservoir of previously unexplored AMP candidates. Our findings underscore the transformative potential of AI-powered approaches to revolutionize AMP discovery and development, paving the way for innovative therapeutic strategies to combat the looming threat of drug-resistant infections.

systems biology↗

bioRxiv2025

Gamma-aminobutyric acid treatment reduces estradiol-stimulated breast cancer cell growth and estradiol-induced breast tumorigenesis

Gamma-aminobutyric acid (GABA) is a non-protein amino acid and contained in various foods, such as fruits and vegetables. Although various health benefits of GABA have been reported, GABA seems to have unidentified functions. In this study, we first show increase in intracellular GABA level in GABA-treated breast cancer cell lines, MCF-7 and T-47D, in amino acid analyses and immunofluorescence. In our experimental condition, GABA treatment reduced estradiol-stimulated cell growth in these cell lines. In addition, we performed mouse early breast cancer induction model system to investigate GABA function in mammary dysplasia formation. In the results, GABA administration reduced dysplasia formation, suggesting that GABA prevents breast tumorigenesis. This study demonstrates a novel function of GABA to maintain normal breast tissues.

bioengineering↗

bioRxiv2025

A20's Linear Ubiquitin Binding Motif Restrains Pathogenic Activation of TH17/22 cells and IL-22 Driven Enteritis

A20, encoded by the TNFAIP3 gene, is a protein linked to Crohns disease and celiac disease in humans. We now find that mice expressing point mutations in A20s M1 ubiquitin binding motif (ZF7) spontaneously develop proximate enteritis that requires both luminal microbes and T cells. Cellular and transcriptomic profiling reveal expansion of TH17/22 cells and aberrant expression of IL-17A and IL-22 in intestinal lamina propria of A20ZF7 mice. While deletion of IL-17A from A20ZF7/ZF7 mice exacerbates enteritis, deletion of IL-22 abrogates intestinal epithelial cell hyperproliferation, barrier dysfunction, and alarmin expression. A20ZF7/ZF7 TH17/22 cells autonomously express more ROR{psi}t and IL-22 after differentiation in vitro. ATAC sequencing identified an enhancer region upstream of the Il22 gene in A20ZF7/ZF7 T cells, and this enhancer demonstrated increased activating histone acetylation coupled with exaggerated Il22 transcription. Finally, CRISPR/Cas9-mediated ablation of A20ZF7 in human T cells increases ROR{psi}t expression and IL22 transcription. These studies link A20s M1 ubiquitin binding function with ROR{psi}t expression, epigenetic activation of TH17/22 cells, and IL-22 driven enteritis.

immunology↗

bioRxiv2024

Structural insight into the nuclear transportation mechanism of PPARg by Transportin-1

The spatial and temporal control of protein is essential for normal cellular function. Proteins working in the nucleus have nuclear localization signal (NLS) sequences and are escorted into the nucleus by cognate nuclear transport receptors. A wealth of experimental data about NLS has been accumulated, and nuclear transportation mechanisms are established at the biochemical and structural levels. The peroxisome proliferator-activated receptors (PPARs) are ligand-dependent transcription factors that control various biological responses. We recently reported that the transportation of PPAR{gamma} is mediated by Transportin-1, but PPAR{gamma} lacks a typical NLS sequence recognized by Transportin-1. Moreover, the recognition mechanism remains largely unknown. In this study, we determined the Cryo-EM structure of PPAR{gamma} in complex with Transportin-1 and revealed that Transportin-1 gripped the folded DNA binding domain and the Hinge region of PPAR{gamma}, indicating that PPAR{gamma} recognizes a folded domain with an extended region as a nuclear localization signal, not a canonical unstructured signal sequence, confirmed by the mutation analyses in vitro and in cultured cells. Our study is the first snapshot structure working in nuclear transportation, not in transcription, of PPAR{gamma}.

molecular biology↗

bioRxiv2024

A beta-Galactosidase acting on unique galactosides: the structure and function of a beta-1,2-galactosidase from Bacteroides xylanisolvens, an intestinal bacterium

Galactosides are major carbohydrates that are found in plant cell walls and various prebiotic oligosaccharides. Studying the detailed biochemical functions of {beta}-galactosidases in degrading these carbohydrates is important. In particular, identifying {beta}-galactosidases with new substrate specificities could help in the production of potentially beneficial oligosaccharides. In this study, we identified a {beta}-galactosidase with novel substrate specificity from Bacteroides xylanisolvens, an intestinal bacterium. The enzyme did not show hydrolytic activity toward natural {beta}-galactosides during the first screening. However, when -D-galactosyl fluoride (-GalF) as a donor substrate and galactose or D-fucose as an acceptor substrate were incubated with a nucleophile mutant, reaction products were detected. The galactobiose produced from the -GalF and galactose was identified as {beta}-1,2-galactobiose using NMR. Kinetic analysis revealed that this enzyme effectively hydrolyzed {beta}-1,2-galactobiose and {beta}-1,2-galactotriose. In the complex structure with methyl {beta}-galactopyranose as a ligand, the ligand is only located at subsite +1. The 2-hydroxy group and the anomeric methyl group of methyl {beta}-galactopyranose faces in the direction of subsite -1 and the solvent, respectively. This observation is consistent with the substrate specificity of the enzyme regarding linkage position and chain length. Overall, we concluded that the enzyme is a {beta}-galactosidase acting on {beta}-1,2-galactooligosaccharides. SynopsisThe structural and functional analysis of {beta}-galactosidase from an intestinal bacterium led to the discovery of a new {beta}-galactosidase hydrolyzing unique {beta}-1,2-galactooligosaccharides.

biochemistry↗

bioRxiv2024

Beta-Glucanase superfamily identified by sequential, functional, and structural analyses

{beta}-1,2-Glucans are natural glucose polymers that play important physiological roles, including as symbiotic or pathogenic factors and in osmoregulation. Phylogenetically new glycoside hydrolase (GH) families have recently been identified from {beta}-1,2-glucanase (SGL) sequences from bacteria (GH144) and a fungus (GH162). In this study, we identified four phylogenetically new groups (Groups 1-4), and determined that these families, together with GH144, GH162, and GH189, a family of transglycosylase domains in cyclic {beta}-1,2-glucan synthases, form a superfamily. Biochemical analysis of six proteins in these groups revealed that the proteins in Groups 1-3 showed hydrolytic activity specific to {beta}-1,2-glucan. The kinetic parameters of the enzymes of Groups 1-3 were similar to GH144 and GH162 SGLs, indicating that these enzymes were SGLs. Optical rotation analysis revealed that the SGLs followed an anomer-inverting mechanism. Structural analysis and prediction of the proteins in Groups 1-4, GH144, GH162, and GH189 suggested that Groups 1-3 and GH144 had the same reaction mechanism. Nevertheless, Groups 1-3 were dispersed irregularly in the superfamily. Overall, we determined that Groups 1-3 were new GH families, GHxxx, GHyyy, and GHzzz, respectively, and proposed that this superfamily be called an SGL superfamily because of the phylogenetical, functional, and structural relationships within the superfamily. HighlightsWide variety of glycoside hydrolases is far beyond our understanding. Functional and structural analysis identified three new glycoside hydrolase families. Molecular evolution with irregular changes in reaction mechanism was revealed.

biochemistry↗

bioRxiv2022

Improving classification and reconstruction of imagined images from EEG signals

Decoding brain activity related to specific tasks, such as imagining something, is important for brain computer interface (BCI) control. While decoding of brain signals, such as functional magnetic resonance imaging (fMRI) signals and electroencephalography (EEG) signals, during observing visual images and while imagining images has been previously reported, further development of methods for improving training, performance, and interpretation of brain data was the goal of this study. We applied a Sinc-EEGNet to decode brain activity during perception and imagination of EEG stimuli, and added an attention module to extract the importance of each electrode or frequency band. We also reconstructed images from brain activity by using a generative adversarial network (GAN). By combining the EEG recorded during a visual task (perception) and imagination task, we have successfully boosted the accuracy of classifying EEG data in the imagination task and improved the quality of reconstruction by GAN. Our result indicates that the brain activity evoked during the visual task is present in the imagination task and can be used for better classification of the imagined image. By using the attention module, we can derive the spatial weights in each frequency band and contrast spatial or frequency importance between tasks from our model. Imagination tasks are classified by low frequency EEG signals over temporal cortex, while perception tasks are classified by high frequency EEG signals over occipital and frontal cortex. Combining data sets in training results in a balanced model improving classification of the imagination task without significantly changing performance in the visual task. Our approach not only improves performance and interpretability but also potentially reduces the burden on training since we can improve the accuracy of classifying a relatively hard task with high variability (imagination) by combining with the data of the relatively easy task, observing visual images.

neuroscience↗

bioRxiv2022

Clonal spreading of tumor-infiltrating T cells underlies the robust antitumor immune responses

The repertoire of tumor-infiltrating T cells is an emerging perspective for characterizing effective antitumor T-cell responses. Oligoclonal expansion of tumor T-cell repertoire has been evaluated; however, their association with antitumor effects is unclear. We demonstrated that the polyclonal fraction of the tumor-reactive T-cell repertoire consisting of relatively minor clones increased in tumor-bearing mice treated with anti-PD-L1 or anti-CD4 monoclonal antibody, which was correlated with antitumor effect. Meanwhile, the size of the oligoclonal fraction consisting of major clones remained unchanged. Moreover, the polyclonal fraction was enriched in progenitor exhausted T cells, which are essential for a durable antitumor response, and was more dependent on CCR7+ migratory dendritic cells, which are responsible for priming tumor-reactive T cells in the tumor-draining lymph nodes. These results suggest that the expansion of diverse tumor-reactive clones ("clonal spreading") is an important mechanism by which anti-PD-L1 and anti-CD4 treatments induce robust and durable antitumor T-cell responses.

immunology↗

bioRxiv2021

Two doses of mRNA vaccine elicit cross-neutralizing memory B-cells against SARS-CoV-2 Omicron variant

SARS-CoV-2 Beta and Omicron variants have multiple mutations in the receptor-binding domain (RBD) allowing antibody evasion. Despite the resistance to circulating antibodies in those who received two doses of mRNA vaccine, the third dose prominently recalls cross-neutralizing antibodies with expanded breadth to these variants. Herein, we longitudinally profiled the cellular composition of persistent memory B-cell subsets and their antibody reactivity against these variants following the second vaccine dose. The vaccination elicited a memory B-cell subset with resting phenotype that dominated the other subsets at 4.9 months. Notably, most of the resting memory subset retained the ability to bind the Beta variant, and the memory-derived antibodies cross-neutralized the Beta and Omicron variants at frequencies of 59% and 29%, respectively. The preservation of cross-neutralizing antibody repertoires in the durable memory B-cell subset likely contributes to the prominent recall of cross-neutralizing antibodies following the third dose of the vaccine. One Sentence SummaryFully vaccinated individuals preserve cross-neutralizing memory B-cells against the SARS-CoV-2 Omicron variant.

immunology↗

bioRxiv2021

Aerobic glycolysis in cancer cells supplies ATP while preventing excess metabolic thermogenesis

Adenosine triphosphate (ATP) regeneration by substrate-level phosphorylation is a general feature of cancer metabolism, even under normoxic conditions (aerobic glycolysis). However, it is unclear why cancer cells prefer inefficient aerobic glycolysis over the highly efficient process of oxidative phosphorylation for ATP regeneration. To investigate the metabolic principles underlying aerobic glycolysis, we performed 13C-metabolic flux analysis of 12 cultured cancer cell lines and explored the metabolic constraints required to reproduce the results using in silico metabolic simulations. We found that the measured flux distribution can be reproduced by maximizing the ATP consumption in the flux balance analysis considering a limitation of metabolic heat dissipation (enthalpy change). It suggests that aerobic glycolysis may be preferable because metabolic heat production during one mol of ATP regeneration by aerobic glycolysis was less than that produced by oxidative phosphorylation (OXPHOS). Consistent with the simulation, OXPHOS inhibition induced metabolic redirection to aerobic glycolysis while maintaining the intracellular temperature. Furthermore, the dependency on aerobic glycolysis was partly alleviated upon culturing at low temperatures. Our data suggest that metabolic thermogenesis is an important factor in understanding aerobic glycolysis in cancer cells and that an advantage of aerobic glycolysis is the reduction in metabolic heat generation during ATP regeneration.

cancer biology↗

bioRxiv2021

LIGHTHOUSE illuminates therapeutics for a variety of diseases including COVID-19

One of the bottlenecks in the application of basic research findings to patients is the enormous cost, time, and effort required for high-throughput screening of potential drugs for given therapeutic targets. Here we have developed LIGHTHOUSE, a graph-based deep learning approach for discovery of the hidden principles underlying the association of small-molecule compounds with target proteins. Without any 3D structural information for proteins or chemicals, LIGHTHOUSE estimates protein-compound scores that incorporate known evolutionary relations and available experimental data. It identified novel therapeutics for cancer, lifestyle-related disease, and bacterial infection. Moreover, LIGHTHOUSE predicted ethoxzolamide as a therapeutic for coronavirus disease 2019 (COVID-19), and this agent was indeed effective against alpha, beta, gamma, and delta variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that are rampant worldwide. We envision that LIGHTHOUSE will bring about a paradigm shift in translational medicine, providing a bridge from bench side to bedside.

systems biology↗

bioRxiv2021

T cell receptor (TCR) repertoire analysis reveals a highly conserved TCR repertoire in a bilateral tumor mouse model

Temporal analysis of the T cell receptor (TCR) repertoire has been used to monitor treatment-induced changes in antigen-specific T cells in patients with cancer. However, the lack of experimental models that allow temporal analysis of the TCR repertoire in the same individual in a homogeneous population limits the understanding of the causal relationship between changes in TCR repertoire and antitumor responses. A bilateral tumor model, where tumor cells were inoculated bilaterally into the backs of mice, could be used for temporal analysis of the TCR repertoire. This study examined the prerequisite for this strategy: the TCR repertoire is conserved between bilateral tumors with the same growth rate. Bilateral tumors with equivalent size and draining lymph nodes (dLNs) were collected 13 days after tumor inoculation to analyze the TCR repertoire of CD4+ and CD8+ T cells. The tumor-infiltrating T cell clones were highly conserved between the bilateral tumors, and the extent of clonal expansion was equivalent. In addition, the similarity between the bilateral tumors was equivalent to heterogeneity on one side of the tumor. The similarity of the TCR repertoire in the bilateral dLNs was markedly lower than that in the tumor, suggesting that tumor-reactive T cell clones induced independently in each dLN integrated during recirculation and then infiltrated the tumor. These findings suggest that our bilateral tumor model is suitable for temporal monitoring of the TCR repertoire to evaluate temporal and treatment-induced changes in tumor-reactive T cell clones. Significance StatementThe bilateral subcutaneous tumor model, where tumor cells were inoculated bilaterally into the backs of mice, is a promising model for temporal analysis of the antitumor response in cancer immunotherapy. This study demonstrated a highly conserved TCR repertoire in bilateral tumors and provided the basis for using a bilateral tumor model for evaluating temporal and treatment-induced changes in tumor-responsive T cell clones in individual mice. In humans, accurate statistical analysis is hampered by various background factors, including cancer type and stage and history of treatment. Moreover, temporal tumor biopsy in patients is highly invasive. Our bilateral tumor model overcomes these clinical issues and is expected to be a valuable tool for the development of novel immune monitoring and therapeutic strategies.

immunology↗

bioRxiv2021

The peripheral T cell population is associated with pneumonia severity in cynomolgus monkeys experimentally infected with severe acute respiratory syndrome coronavirus 2

The coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a global pandemic that began in December 2019. Lymphopenia is a common feature in severe cases of COVID-19; however, the role of T cell responses during infection is unclear. Here, we inoculated six cynomolgus monkeys, divided into two groups according to the CD3+ T cell population in peripheral blood, with two clinical isolates of SARS-CoV-2: one of East Asian lineage and one of European lineage. After initial infection with the isolate of East Asian lineage, all three monkeys in the CD3+ low group showed clinical symptoms, including loss of appetite, lethargy, and transient severe anemia with/without short-term fever, within 14 days post-infection (p.i.). By contrast, all three monkeys in the CD3+ high group showed mild clinical symptoms such as mild fever and loss of appetite within 4 days p.i. and then recovered. After a second inoculation with the isolate of European lineage, three of four animals in both groups showed mild clinical symptoms but recovered quickly. Hematological, immunological, and serological tests suggested that the CD3+ high and low groups mounted different immune responses during the initial and second infection stages. In both groups, anti-viral and innate immune responses were activated during the early phase of infection and re-infection. However, in the CD3+ low group, inflammatory responses, such as increased production of monocytes and neutrophils, were stronger than those in the CD3+ high group, leading to more severe immunopathology and failure to eliminate the virus. Taken together, the data suggest that the peripheral T lymphocyte population is associated with pneumonia severity in cynomolgus monkeys experimentally infected with SARS-CoV-2. Author summarySARS-CoV-2 infection causes an illness with clinical manifestations that vary from asymptomatic or mild to severe; examples include severe pneumonia and acute respiratory distress syndrome. Lymphopenia, which is common in severe COVID-19 cases, is characterized by markedly reduced numbers of CD4+ T cells, CD8+ T cells, B cells, and natural killer cells. Here, we showed that cynomolgus monkeys selected according to the T cell populations in peripheral blood have different outcomes after experimental infection with SARS-CoV-2. These findings will increase our understanding of disease pathogenesis and may facilitate the development of animal models for vaccine evaluation.

pathology↗

bioRxiv2020

A single neuron subset governs a single coactive neuron circuit in Hydra vulgaris , representing a prototypic feature of neural evolution

The last common ancestor of Bilateria and Cnidaria is believed to be one of the first animals to develop a nervous system over 500 million years ago. Many of the genes involved in the neural function of the advanced nervous system in Bilateria are well conserved in Cnidaria1. Thus, Cnidarian representative species, Hydra, is considered to be a living fossil and a good model organism for the study of the putative primitive nervous system in its last common ancestor. The diffuse nervous system of Hydra consists of several peptidergic neuron subsets. However, the specific functions of these subsets remain unclear. Using calcium imaging, here we show that the neuron subsets that express neuropeptide, Hym-1762,3 function as motor neurons to evoke longitudinal contraction. We found that all neurons in a subset defined by the Hym-176 gene (Hym-176A) or its paralogs (Hym-176B) expression4 are excited simultaneously, which is then followed by longitudinal contraction. This indicates not only that these neuron subsets are motor neurons but also that a single molecularly defined neuron subset forms a single coactive motor circuit. This is in contrast with the Bilaterian nervous system, where a single molecularly defined neuron subset harbors multiple coactive circuits, showing a mixture of neurons firing with different timings5. Furthermore, we found that the two motor circuits, one expressing Hym-176B in the body column and the other expressing Hym-176A in the foot, are coordinately regulated to exert region-specific contraction. Our results demonstrate that one neuron subset is likely to form a monofunctional circuit as a minimum functional unit to build a more complex behavior in Hydra. We propose that this simple feature (one subset, one circuit, one function) found in Hydra is a fundamental trait of the primitive nervous system.

neuroscience↗

bioRxiv2020

Curing genetic skin disease through altered replication stress response

Revertant mosaicism, or natural gene therapy, refers to the spontaneous in vivo reversion of an inherited mutation in a somatic cell1. Only [~]50 human genetic disorders exhibit revertant mosaicism, implicating a distinctive role played by mutant proteins in somatic correction of a pathogenic germline mutation2. However, the process by which mutant proteins induce somatic genetic reversion in these diseases remains unknown. Here we show that heterozygous pathogenic CARD14 mutations causing autoinflammatory skin diseases, including psoriasis and pityriasis rubra pilaris, are repaired mainly via homologous recombination. Rather than altering the DNA damage response to exogenous stimuli such as X-irradiation or etoposide treatment, mutant CARD14 increased DNA double-strand breaks under conditions of replication stress. Furthermore, mutant CARD14 suppressed new origin firings without promoting crossover events in the replication stress state. Together, these results suggest that mutant CARD14 alters the replication stress response and preferentially drives break-induced replication (BIR), which is generally suppressed in eukaryotes3. Our results highlight the involvement of BIR in reversion events, thus revealing a previously undescribed role of BIR that could potentially be exploited to develop therapeutics for currently intractable genetic diseases.

molecular biology↗

bioRxiv2020

Subepidermal blisters are healed by wedge-shaped keratinocytes of hair follicle origin

Injury in adult tissue generally reactivates developmental programs to foster regeneration, but it is not known whether this paradigm applies to growing tissue. Here, by employing blisters, we show that epidermal wounds heal at the expense of skin development. The regenerated epidermis suppresses the expression of tissue morphogenesis genes accompanied by delayed hair follicle (HF) growth. Lineage tracing experiments, cell proliferation dynamics, and mathematical modeling reveal that the progeny of HF junctional zone stem cells, which undergo a morphological transformation, repair the blisters while not promoting HF development. In contrast, the contribution of interfollicular stem cell progeny to blister healing is small. These findings demonstrate that tissue development can be sacrificed for the sake of wound regeneration and suggest that tissue repair does not coincide with the reactivation of developmental programs in all regenerative contexts. Our study elucidates the key cellular mechanism of wound healing in skin blistering diseases.

cell biology↗