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Biology subjects

Kim, Y.

Publications and source records attributed to Kim, Y..

At least 37 records · Page 2Linked to original sources

Atypical MDM2 p53 Regulation and Chemosensitivity Induced by Proximal PAS Deletion

This study proposes a novel therapeutic strategy to suppress cancer growth by modulating the MDM2-p53 axis via Alternative Polyadenylation (APA). MDM2 normally promotes tumorigenesis by ubiquitinating and degrading the tumor suppressor p53. In cancer cells, preferential use of proximal polyadenylation signals (PAS) results in shortened 3'UTRs, allowing oncogenic transcripts like MDM2 to evade nuclear sequestration mediated by Inverted Alu (IRAlu) double-stranded RNA structures. We hypothesized that forcing distal PAS usage would elongate the MDM2 mRNA, promoting its nuclear retention and reducing protein translation, thereby restoring p53 activity. Using CRISPR-Cas9, we targeted and deleted the most frequent proximal PAS in the MDM2 3'UTR of A549 cells. Successful genome editing was confirmed via PCR. As expected, Western blot analysis showed a significant reduction in MDM2 expression in PAS-edited cells. However, experimental outcomes contradicted our initial hypothesis: edited cells exhibited higher viability under doxorubicin treatment compared to wild-type cells. Furthermore, despite decreased MDM2 levels, a concurrent reduction in phosphorylated p53 (p-p53) was observed. These unexpected results suggest that MDM2 3'UTR elongation may trigger a non-canonical regulatory mechanism that bypasses the traditional MDM2-p53 interaction. This study highlights the complexity of post-transcriptional regulation and suggests that APA-mediated gene modulation can induce unforeseen compensatory survival pathways in cancer cells, necessitating further investigation into the broader functional landscape of elongated 3'UTRs.

cancer biology↗

Mind the Bend: Curved and Corrugated Cryo-Lamella for Improved Mechanical Resilience

Preparing electron-transparent cryo-lamellae is inherently a serial, low-throughput process. During sample handling, milling, and transfer, cryo-fixed cells and their supporting films are subjected to mechanical forces as well as thermal stresses caused by temperature fluctuations. After milling, these extremely thin lamellae remain vulnerable to both mechanical and thermal stress, often leading to cracking or complete disintegration. Consequently, the loss of valuable lamellae is frequently an unavoidable aspect of working with such fragile specimens. In this work, we reconsider the conventional lamella geometry, which is typically a flat, thin cross-sectional slab. During milling, lamellae often become unintentionally bent, complicating the final polishing step required to achieve uniform thinning across their width. To address this limitation, we propose deliberately fabricating lamellae in a pre-bent configuration, i.e. specifically, adopting an arch-shaped profile instead of the traditional flat geometry. The arch shape is intrinsically more mechanically stable than a flat structure, thereby reducing lamella loss due to mechanical failure. Moreover, pre-bent milling patterns facilitate uniform thinning of bent lamellae, which is difficult to achieve using conventional flat milling approaches. In addition to the arch geometry, we investigate corrugated lamellae, characterised by a sinusoidal variation around the plane of a conventional flat lamella. Similarly to the arch shape, the corrugated design offers enhanced mechanical stability compared to traditional flat lamellae. We fabricated a series of test lamellae incorporating both arches and corrugations. High-resolution cryo-TEM imaging was performed to evaluate these structures, demonstrating that non-flat geometries do not compromise cryo-electron tomography performance. Furthermore, finite element method (FEM) simulations were conducted to provide insight into stress distributions within bent and corrugated lamellae.

biochemistry↗

Novel biologically relevant small RNA-sequencing alignment tool LevenMap for alignment to database of non-coding RNAs

A crucial aspect of the bioinformatics workflow in small RNA-sequencing is the alignment of reads to a database of reference ncRNAs. Alignment algorithms such as Bowtie, Burrows-Wheeler Aligner (BWA), and Spliced Transcripts Alignment to a Reference (STAR) - which are designed for aligning reads to a reference genome - are typically used. Aligning short RNA-sequenced reads to a database of non-coding RNAs (ncRNAs) is fundamentally a different task than aligning longer reads to a genome due to ncRNAs (i) having roughly the same number of nucleotides as the reads being aligned and (ii) being subsequences of other ncRNAs. To account for these differences, we developed the novel alignment algorithm LevenMap. Of all reads which exactly matched a reference ncRNA in a publicly available dataset, LevenMap aligned 100.0% of them to their respective ncRNA while all other aligners mapped less than 40% of these reads to their corresponding ncRNA. Furthermore, the mean ratio (length of read) / (length of corresponding reference ncRNA) of all aligned reads was 1.0 and 0.998 for LevenMap with at most zero and one mismatch(es) allowed, respectively; this ratio was no more than 0.51 for all other aligners. Overall, LevenMap is designed to account for the nuances of aligning small RNA-sequencing data to a database of reference ncRNAs and yields more biologically relevant counts compared to traditional aligners in this context. LevenMap is free and publicly available on GitHub: https://github.com/hdlugas/LevenMap.

bioinformatics↗

Cell-Based Sensor for Extracellular DNA

Detection of molecules with cell-based sensors allows for conversion of binding events into gene expression outputs. Here, we present a cell-based sensor that can detect extracellular double-stranded DNA. This sensor is based on an engineered receptor which we call Luminescent Ultrasensitive Nucleic Acid Reporter, or LUNAR. LUNAR is based on a recently developed Programmable Antigen-gated G-protein-coupled Engineered Receptor (PAGER). PAGERs are a genetic fusion of an auto-inhibitory peptide, a protein-binding domain, and a modified kappa opioid receptor. PAGERs are gated by two binding events. First, a protein ligand displaces an intramolecular inhibitor, Arodyn, then a second ligand activates the receptor. By replacing the protein-binding domain with a DNA binding zinc finger protein (ZFP) we could detect extracellular DNA in a dose-dependent fashion. Here, we show that first-generation LUNAR constructs can detect both oligonucleotides and plasmid double-stranded DNA with nanomolar sensitivity in mammalian cells. Future work will focus on improving sensitivity, fold-change, and multiplexing capabilities for sequence-specific DNA detection.

synthetic biology↗

Focused framework sampling recovers binding-positive humanized anti-amyloid-β antibodies in a single sorting round

Therapeutic antibody development requires workflows that integrate antigen-reactive clone discovery with efficient humanization and early developability assessment. Here, we combined immune yeast fragment antigen-binding (Fab) display with single-round focused humanization and applied the workflow to antibodies against amyloid-{beta} (A{beta})-derived preparations. Immunization with A{beta}1-42 aggregate preparations generated a Fab-display library with a diversity of approximately 3.5 x 108. Magnetic enrichment followed by fluorescence-activated cell sorting (FACS) identified three sequence-distinct immunoglobulin G (IgG)-format candidates, of which CLAB17 and CLAB45 were advanced to humanization. Structure-guided libraries sampled framework positions predicted to support complementarity-determining regions (CDRs) or heavy-and light-chain variable-domain packing, and a single FACS round recovered binding-positive variants CLAB17-h2 and CLAB45-h8. Both retained the parental CDRs and showed increased predicted humanness, favorable computational developability triage profiles, and high purity by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). By enzyme-linked immunosorbent assay (ELISA), CLAB17-h2 showed a lower apparent half-maximal effective concentration (EC50) for A{beta}1-42AggreSure, whereas CLAB45-h8 showed a lower apparent EC50 for pyroglutamate-modified A{beta}3-42 (A{beta}pE3-42). Because the preparations were not resolved into defined assembly states, these antibodies are considered A{beta}-preparation-binding rather than aggregate-state-selective candidates. This workflow provides a practical route from immune-repertoire discovery to binding-positive humanized antibodies.

bioengineering↗

Cryptic disease-prone states in human mesocortical assembloids revealed by multimodal profiling

Neurodegenerative diseases are characterized by synaptic failure, aberrant protein accumulation, and neuroglial dysfunction that emerge long before clinical onset. Although brain assembloids, which recapitulate interregional circuit connectivity beyond the scope of single organoids, significantly advance the modeling of circuit pathophysiology, they are predominantly evaluated through single-modality approaches that cannot resolve the functional and molecular heterogeneity underlying differential disease susceptibility. Here we show that morphologically identical human iPSC-derived dorso forebrain-midbrain mesocortical assembloids (MCAs) spontaneously bifurcate into disease-prone and non-prone states under identical culture conditions, revealing that MCA heterogeneity reflects intrinsic neurodegeneration susceptibility rather than stochastic culture variability. Using integrated electrophysiological, molecular, and spatial profiling, we find that disease-prone MCAs exhibit a temporally ordered molecular cascade in which neurofilament light chain elevation precedes tau dysregulation, mirroring the sequential biomarker trajectories observed in pre-symptomatic human neurodegeneration. Disease-prone MCAs further display selective cortical hyperexcitability and aberrant brainwave-like oscillatory dynamics that remain undetectable by any single modality. Spatially, a discrete junction-like neuronal population at the midbrain-forebrain interface shows transcriptional priming for synaptic overactivation alongside impaired astrocytic glutamate clearance, defining a spatially confined neuron-glial uncoupling as a candidate early origin of the disease-prone state. These findings reframe MCA heterogeneity as a biological window into pre-symptomatic neurodegeneration, with broad implications for disease modeling, risk stratification, and therapeutic discovery.

neuroscience↗

Synaptic engram underlies memory

Memory encoding cells, or engram cells, are sparsely distributed across the brain. Recent findings have shown that memory formation coincides with the strengthening of interregional synaptic connectivity between engram ensembles. However, whether this learning-induced synaptic reorganization causally supports memory, independently or in concert with heterosynaptic and intrinsic plasticity, remains elusive. Here we developed optically implemented spike-timing-dependent plasticity (oSTDP), which induces synaptic depression selectively at target synapses by controlling the relative timing of pre- and postsynaptic activity. In vivo application of oSTDP to the synapses between entorhinal cortex (EC) and dentate gyrus (DG) engram cells caused a significant synaptic depression and the resultant memory impairment. Our results demonstrate that plasticity of functional connectivity between memory-encoding ensembles causally underlies memory.

neuroscience↗

Scale-Aware Compositional Inference Improves Reproducibility and Uncovers Convergent Aging Programs in Spatial Transcriptomics

Spatial transcriptomics enables analysis of molecular organization with anatomical context. Existing spatial differential expression methods are restricted to within-sample inference, forcing between-sample comparisons to rely on approaches adapted from single-cell RNA-seq. Here, we establish a scale-aware inference framework for spatial differential expression by modeling compositional constraints and variation in total RNA abundance rather than removing them through normalization, enabling calibrated between-sample inference at cell-level resolution. Our method produces more reliable results in simulated data and different spatial platforms. When applied to aged mouse brains, the analysis reveals converging aging-associated programs involving cellular signaling, membrane homeostasis, and neurovasculature across independent datasets.

genomics↗

Multiple contact sites between cells and the vitelline envelope coordinate tissue flows in Drosophila gastrulation

Gastrulation is thought to be driven primarily by forces generated within individual cells. These cell-intrinsic forces collectively induce tissue-scale flows and transform the monolayered embryo into a multilayered structure. However, as the embryo constitutes a mechanically closed system, these flows must be balanced by regions of resistance or anchoring to enable asymmetric morphogenesis. In the Drosophila embryo, integrin-mediated attachment of the blastoderm to the vitelline envelope has been shown to stabilize germ band extension at the organismal scale. Disrupting such an attachment leads to a characteristic twisting phenotype. Yet, how this attachment shapes concurrent global morphogenetic events remains unclear. We discovered that the integrin -subunit scab, which mediates the attachment, is expressed in three different regions of the cellular blastoderm near prominent invagination events. Through a combination of light-sheet imaging, genetic and mechanical perturbations, we demonstrate that integrin-enhanced friction is essential for unidirectional tissue flows in those regions, with effects including cephalic furrow positioning and epithelial stability. Guided by a minimal physical model, we further show that multiple attachment sites enhance the robustness and reproducibility of global tissue movements. Together, our results indicate that Drosophila gastrulation emerges from a balance between cell-intrinsic force generation and spatially distributed adhesion to the surrounding envelope, which together shape tissue flows at the embryo scale.

developmental biology↗

Age-dependent Structural Reorganization of the Human Plasma Proteome

Aging is characterized by progressive physiological decline, yet the molecular mechanisms underlying these changes remain incompletely understood. Although extensive work has examined age-related alterations in protein abundance, the age-dependent structural reorganization of proteins and their interaction networks remains largely unexplored. Here, we quantitatively characterize the structural dynamics of plasma proteins across healthy adult aging and identify age-dependent accessibility patterns that may serve as candidate structural biomarkers. We employed Covalent Protein Painting (CPP) coupled with multiple reaction monitoring (MRM)-based LC-MS/MS to analyze plasma from 24 healthy individuals spanning four age groups (20s to 50s, n = 6 per group). Lysine surface accessibility changes were analyzed using cosine similarity trajectory matching and limma-based linear modeling. The intersection of the two approaches defined five reproducible age-dependent trajectories encompassing 27 proteins and 57 peptides. Integrating STRING/Cytoscape network analysis with AlphaFold3 multimer complex prediction localized several CPP-detected peptides to within [~]5 [A] of predicted protein-protein interaction interfaces (KNG1, C3; REN, ALB; and ALB, FGB), suggesting that age-associated accessibility changes are organized at interaction interfaces rather than occurring as isolated local events. Our findings indicate that the human plasma proteome undergoes coordinated, network-level changes in structural accessibility during adult aging, providing a framework for structure-based biomarker discovery. Because CPP signal reflects both conformational accessibility and protein abundance, and because the cohort is modest and cross-sectional, the trajectories reported here are framed as hypothesis-generating and are interpreted with these constraints made explicit throughout.

molecular biology↗

Nuclear translocation of phosphorylated YB-1 via small extracellular vesicles contributes to the malignant phenotype of triple negative breast cancer

Despite continuous progress in diagnosis and therapy, breast carcinoma (BC) remains a major health problem. Triple-negative (Estrogen Receptor-/Progesterone Receptor-/HER2-) breast cancer (TNBC) is the most aggressive subtype due to its high metastatic potential and resistance to chemotherapy. The Y-box binding protein 1 (YB-1) transcription factor, a protein present in both cytoplasm and nucleus, is a driver of TNBC malignancy as it stimulates its cancer stem cell phenotype and disrupts cell cycle progression. Here, we hypothesized that YB-1-containing sEVs deliver YB-1 to the nuclear compartment of recipient cancer cells and play a major role in the activation of the metastatic process. We found a selective enrichment of YB-1 in sEVs from MDA and 4T1 cells, with [~]65% and 50% of all sEVs positive for YB-1 by d-STORM. Administration of sEVs from wild-type MDA and 4T1 to their YB-1 knockout counterparts resulted in nuclear translocation of sEV-associated YB-1 and increased tumorsphere formation. Pharmacological blockade of the nuclear transport machinery based on the inhibition of the formation of the "VOR" complex (VAP-A-ORP3-Rab7) by PRR851 impaired both nuclear translocation and the YB-1-induced increase in tumorsphere formation. YB-1 phosphorylation at S102 was required for nuclear localization. In fact, loss of YB-1 phosphorylation inhibited tumorsphere growth and stemness of cancer cells and YB-1-positive sEVs restored the oncogenic behavior of cancer cells expressing phospho-mutant YB-1. Moreover, PRR851 inhibited the nuclear translocation of the phosphorylated form of YB-1 and the oncogenic behavior of the TNBC cells. These data support the conclusion that the nuclear translocation of sEV-associated phosphorylated YB-1 is an important factor in the malignant behavior of TNBC and a potential therapeutic target.

cancer biology↗

CXCR6 marks polyfunctional effector CD4 T cells required for anti-Chlamydia immunity in the female reproductive tract

CD4 T cells are essential for protective immunity against Chlamydia in the female reproductive tract (FRT), yet the characteristics of protective mucosal effector CD4 T cells remain poorly defined. We previously identified the transcription factor BHLHE40 as a key regulator of polyfunctional effector CD4 T cell differentiation during Chlamydia infection. Here, we identify the chemokine receptor CXCR6 as a marker of these protective T cells. Following intravaginal Chlamydia muridarum infection, Bhlhe40-deficient mice exhibited reduced frequencies of CXCR6 CD4 T cells that correlated with impaired bacterial control. CXCR6 expression on T cells was associated with loss of stem-like features and acquisition of an effector phenotype. Compared with CXCR6- cells, CXCR6 CD4 T cells displayed enhanced proliferation and polyfunctionality by co-producing cytokines IFN-{gamma}, IL-17A, and GM-CSF. Although CXCR6 was dispensable for CD4 T cell homing to the FRT, it promoted localization to the infected epithelium and the emerging memory lymphoid clusters. Importantly, depletion of CXCR6 CD4 T cells reduced polyfunctional effectors and impaired bacterial clearance. Collectively, these findings identify CXCR6 as a marker of protective polyfunctional CD4 T cells and implicate CXCR6-dependent tissue positioning as a key component of effective mucosal immunity, highlighting CXCR6 as a potential biomarker for Chlamydia vaccine development.

immunology↗

Characterization of the upper epithelial compartment of cervical HSIL

High-grade squamous intraepithelial lesions (HSIL) of the uterine cervix result from transformation by high-risk human papillomavirus (HR-HPV) and are considered precancerous lesions. Depending on the proportion of the epithelium occupied by dysplastic cells, commonly evidenced by a block-like p16INK4a staining pattern, HSIL are subdivided into CIN2 or CIN3. We used immunohistochemistry (IHC) and laser-capture microdissection (LCM) to further characterize these lesions. Broad suprabasal expression of S100A9, a component of the epidermal differentiation complex (EDC), which we had previously found to be up-regulated in genus-beta-HPV-positive skin lesions, was present in the normal exocervix and declined gradually with increasing CIN grade. In CIN2 in particular, the S100A9 staining pattern was nearly complementary to the block-like p16INK4a expression. However, it largely coincided with the expression of CD63, a marker showing strong expression in cervical crypts and in columnar cells within the normal transformation zone, also those overlying reserve cells. We then used LCM to analyze both the p16INK4a- and S100A9/CD63-positive compartments in HSIL separately. Notably, in all samples investigated, we detected the same HR-HPV type (either HPV16, 45 or 51) in both compartments of the same HSIL, while tissue samples dissected from normal exocervix or transformation zone were consistently HR-HPV-negative. Our data suggest that the upper, S100A9-positive maturing compartment of HSILs retaining weak CD63 expression may represent a residual, HR-HPV-infected columnar-cell-derived epithelium, rather than not-yet-transformed squamous epithelium that is progressively being replaced by dysplastic cells. The two-compartment architecture of these HSILs was reminiscent of the staining pattern in the normal transformation zone, where columnar cells overlie reserve cells, and compatible with HR-HPV infection of columnar-derived cells but transformation of reserve cells, the putative origin of cervical squamous cell carcinoma. Our findings have direct clinical implications. Since the upper and lower layers of HSIL appear to form distinct epithelial compartments, our study suggests that the extent and thickness of the HR-HPV-transformed lower compartment itself, rather than the proportion of the epithelium occupied by dysplastic layers, may be the decisive factor in determining the HSIL grade.

Cancer Biology↗

Optic nerve innervation promotes Wnt/b-catenin pathway activity and progenitor cell proliferation in the zebrafish optic tectum

In the zebrafish visual system, accurate retinotopic mapping occurs throughout life as new neurons are generated and integrated into existing circuitry in both the retina and optic tectum (OT). To explore how OT development changes relative to innervation from the retina, we examined cell death and proliferation in genetic and surgical models that disrupt retinal innervation of the OT. Specifically, we compared lakritz (lak) mutants, which have no optic nerves due to a lesion in the atoh7 gene, with either wild-type or one-eyed fish generated through surgical eye removal. We observed elevated cell death, fewer proliferating progenitors, and fewer sox2+ OT neuroepithelial stem cells in lak mutant and denervated OT lobes. To examine whether light-mediated vision contributes to proliferation and survival in the optic tectum, we reared fish in constant darkness and then compared survival and proliferation of OT cells in innervated and non-innervated tecta. We found that OT cells were still more likely to survive and proliferate in the presence of optic nerve innervation even when fish were reared in the dark. To identify molecular pathways that could regulate OT growth, we examined the expression of known mitogens in the zebrafish optic tectum and found evidence that Wnt/{beta}-catenin pathway activity could promote innervation-dependent proliferation in lak mutant tecta. Expression of both wnt3a and the Wnt/{beta}-catenin target gene axin2, as detected by in situ hybridization and RT-qPCR, is decreased in non-innervated tectal lobes. Further supporting an innervation-dependent role for Wnt/{beta}-catenin pathway activation in the zebrafish OT, we found that lak mutants treated with a Wnt-pathway agonist, BIO, exhibited levels of OT cell proliferation that were indistinguishable from wild-type. Together these findings suggest that progenitor cells in the optic tectum produce Wnt3a in response to innervation by the optic nerve, providing new insight into how a vertebrate visual system coordinates growth across its sensory and recipient tissues.

Developmental Biology↗

Kaposi Sarcoma herpesvirus reactivation and replication are dispensable for cell-lineage specific tumorigenesis in whole genome transgenic mice

Herpesvirus reactivation and replication depend on an ordered cascade of gene expression. The viral immediate-early replication and transcription activator protein (Rta) is necessary and sufficient to initiate this process. For Kaposi sarcoma herpesvirus (KSHV), Rta-interacting and Rta-regulated proteins are thought to contribute to cellular transformation. Using a novel, whole-genome transgenic mouse model, we show that KSHV tumorigenesis is independent of Rta in vivo. Rta-deleted, KSHV bacmid transgenic (tgKSHV{Delta}Rta) mice developed latency-associated nuclear antigen (LANA)-positive vascular sarcomas with the same endothelial cell-lineage composition and transcriptional profile as human Kaposi sarcoma (KS). The viral miRNAs were expressed in the tumors, as were all canonical latency and the K1 and K15 oncogenes. Importantly, this system is the first to model both KS and lymphoma, reflecting the development of both malignancies observed in KSHV-infected individuals. These results separate virus replication from KS tumorigenesis, which can proceed independently so long as the virus genome is maintained in a susceptible cell. SignificanceKaposi sarcoma (KS) is the most common cancer in people living with HIV worldwide. Like all herpesviruses, KS-associated herpesvirus (KSHV) has a latent and lytic phase. Hitherto, viral lytic genes are thought to play a role in KS. The KSHV replication and transcription activator (Rta) is both necessary and sufficient for reactivation and lytic viral replication, but Rta was not required for vascular tumor development in a whole virus genome mouse model. This new tgKSHV{Delta}RTA mouse model separates virus replication from viral tumorigenesis and defines a minimal set of viral oncogenes. This model enables mechanistic studies in vivo, and treatment modalities to be evaluated within a complete immune and stromal microenvironment.

Cancer Biology↗

ProMiSE: Protein Multi-State Evaluation Benchmark in Biological Contexts

Proteins are inherently dynamic, with biological functions often emerging from transitions between multiple conformational states. While recent breakthroughs have largely addressed the static structure prediction problem, no systematic benchmark exists to demonstrate how well current models capture functionally relevant dynamics. We introduce ProMiSE, the first benchmark that provides both a dataset and an evaluation scheme, based on native biological assemblies and integrating major conformational change mechanisms--intrinsic, ligand-induced, and protein-induced--within a single curated dataset. We conducted a comprehensive evaluation of state-of-the-art structure prediction models, including Al-phaFold3 and recent generative approaches. Our findings reveal that current models exhibit a limited ability to sample intrinsic multi-states and are often insensitive to biological context in induced scenarios. Internal representation analysis suggests that training-data exposure can shift predictions toward dominant conformational states over alternative biologically relevant states, primarily at the structure module. In contrast, results from BioEmu indicate that reducing decoding-stage bias can substantially improve multi-state sampling without major changes to upstream pair representations.

bioinformatics↗

Holotomography Reveals Protein Concentration Changes in Cardiac Spheroids under Ischemic Stress

Multicellular spheroids better recapitulate native cardiac tissue than two-dimensional systems, preserving cell-cell and cell-matrix interactions and relevant signalling. However, analytical tools for extracting quantitative data from these complex models remain limited. Here, we present an optimised holotomography (HT) workflow for fixed spheroids, enabling label-free quantification of protein concentration and dry mass across conditions. Using a hypoxia-reperfusion injury model to mimic myocardial infarction, HT measurements reveal a statistically significant reduction in the protein concentration of cardioids, reflecting impaired structural integrity and declining viability, subtle changes often missed by conventional approaches. These findings establish HT as a robust, scalable method for quantitative analysis of 3D cardiac models, with direct relevance for disease modelling and preclinical research.

biophysics↗

Split intein vectors permit oversize FLIM-FRET biosensor neuronal expression

Adeno-associated virus (AAV) packaging limits constrain the design, performance, and in vivo application of genetically encoded biosensors. We developed a split intein-mediated reconstitution strategy enabling modular delivery and reassembly of oversized fluorescence lifetime-based biosensors. Using this platform, we engineered an oversized cAMP sensor compatible with one-photon fluorescence lifetime measurements, enabling monitoring of intracellular signaling dynamics in distinct neuronal subtypes in freely behaving mice.

bioengineering↗