@article {70242, title = {mRNAbow: A versatile gene expression system for multiplexed fluorescent imaging using optimized in vitro transcribed mRNA}, journal = {bioRxiv}, year = {2026}, month = {2026 Jan 02}, abstract = {

Messenger RNA (mRNA) transfection enables rapid, transient protein expression without nuclear entry, providing a powerful alternative to DNA or viral delivery in post-mitotic and otherwise difficult-to-transfect cells. Although in vitro transcribed (IVT) mRNAs have revolutionized therapeutic applications, their adoption in experimental biology remains limited by challenges in synthesis, variability across cell types, and concerns about cytotoxicity. Here, we define design principles that maximize IVT mRNA performance across diverse cellular and organismal systems. Through systematic comparison of capping strategies and base modifications, including N1-methyl-pseudouridine, 5-methylcytidine, and 5-methoxyuridine, we identify modifications that enhance translation while minimizing activation of cellular stress responses. Optimized transcripts drive robust protein expression within four hours, persist for up to one week, and support multiplexed expression of structurally and functionally distinct proteins in mammalian cells, including cancer cell lines, iPSC-derived systems, primary cells, and organoids, as well as in vivo in zebrafish embryos and in less genetically tractable models such as Danionella cerebrum and sea urchin embryos. To further expand accessibility for community use, we developed mRNAbow, a platform for generating low-toxicity mRNAs encoding organelle-targeted fluorescent proteins and biosensors for multiplex imaging, with corresponding plasmids made publicly available. Together, these advances establish a generalizable framework for IVT mRNA design and expand experimental access to synthetic mRNA technologies for dissecting cellular architecture and dynamics.

}, doi = {10.64898/2026.01.02.697412}, url = {https://www.biorxiv.org/content/early/2026/01/02/2026.01.02.697412}, author = {Choi, Heejun and Halanych, Coral and Kasberg, William and Testa, Michael D. and Rubin-Elgressy, Sarah and Nguyen, Phuong and Walpita, Deepika and Tsang, Arthur and Cortes, Dan and Song, Erin Yue and Wu, Haodi and Weissman, Irving L and Espinosa-Medina, Isabel and Satou, Chie and Song, Jia L. and Matus, David Q. and Lippincott-Schwartz, Jennifer} } @article {69718, title = {Design and Generation of TEMPO Reagents for Sequential Labeling and Manipulation of Vertebrate Cell Lineages.}, journal = {Methods Mol Biol}, volume = {2886}, year = {2025}, month = {01/2025}, pages = {327-353}, abstract = {

During development, cells undergo a sequence of specification events to form functional tissues and organs. To investigate complex tissue development, it is crucial to visualize how cell lineages emerge and to be able to manipulate regulatory factors with temporal control. We recently developed TEMPO (Temporal Encoding and Manipulation in a Predefined Order), a genetic tool to label with different colors and genetically manipulate consecutive cell generations in vertebrates. TEMPO relies on CRISPR to activate a cascade of fluorescent proteins which can be imaged in vivo. Here, we explain the steps to design, generate, and express TEMPO constructs in zebrafish and mice.

}, keywords = {Animals, Cell Lineage, CRISPR-Cas Systems, Luminescent Proteins, Mice, Staining and Labeling, Zebrafish}, issn = {1940-6029}, doi = {10.1007/978-1-0716-4310-5_17}, author = {Espinosa-Medina, Isabel} } @article {70190, title = {Imp1 acts as a dosage- and stage-dependent temporal rheostat orchestrating radial glial fate transitions and cortical morphogenesis}, journal = {bioRxiv}, year = {2025}, month = {2025 Nov 18}, abstract = {

Cortical neurogenesis proceeds through a precise temporal program in which radial glia sequentially generate distinct neuronal subtypes and later glia, yet how post-transcriptional regulators coordinate these transitions remain poorly understood. We previously identified that a decreasing temporal gradient of the RNA-binding protein Imp encodes neural stem cell age in Drosophila. In this work, we extend our investigation to Imp1, a mammalian homologue of Imp, and its role in murine neocortical development. Using TEMPO to track birth-order dynamics, we demonstrate that sustained Imp1 overexpression during early neurogenesis arrests temporal fate progression, shifting neuronal populations toward deeper cortical layers V-VI. Immunostaining with layer-specific transcription factors Cux1 and Ctip2 confirmed that laminar repositioning results from genuine changes in neuronal identity rather than migratory defects, with neurons adopting molecular identities matching their final positions. Temporal window-specific manipulations reveal distinct stage-specific effects where early-stage Imp1 induction produces cascading effects on fate specification and moderately delays the neuronal-to-gliogenic transition, while mid-stage induction induces neuronal accumulation in the subplate region. Live imaging of organotypic cultures reveals continuous neuronal recruitment within intermediate and ventricular zones, with mid-stage-born neurons accumulating at significantly faster rates than earlier cohorts. Strikingly, mid-stage Imp1 overexpression also induces ectopic glial-like foci distributed throughout the cortical plate, featuring dramatic cellular expansion and morphological heterogeneity. These findings establish Imp1 as a dosage- and stage-dependent temporal rheostat orchestrating developmental transitions in radial glial progenitors, controlling neuronal fate decisions and spatial organization. This work advances our understanding of molecular timing mechanisms governing neuronal diversity in the mammalian cortex.

}, doi = {10.1101/2025.11.18.688993}, url = {https://www.biorxiv.org/content/early/2025/11/18/2025.11.18.688993}, author = {Azur, Romie Angelo G. and Feliciano, Daniel and Espinosa-Medina, Isabel and Adhikari, Raghabendra and Lilao-Garz{\'o}n, Joaquin and Jensen, Ella and Yang, Ching-Po and Lee, Tzumin} } @article {70191, title = {Multimodal cell lineage reconstruction in the hindbrain reveals a link between progenitor origin and activity patterning}, journal = {bioRxiv}, year = {2025}, month = {2025 Nov 14}, abstract = {

The vertebrate brain develops through a precisely orchestrated sequence of events, where neural progenitors generate neuronal diversity. However, the importance of stem cell origin in the acquisition of functional characteristics and the assembly into circuits are largely unknown. Here, by multimodal cell lineage reconstruction we reveal a link between progenitor origin and excitatory and inhibitory activity in the hindbrain. By combining progenitor intersectional fate mapping with newly developed computational tools and CRISPR/Cas9-based loss-of-function experiments, we discovered the differential temporal contribution of distinct progenitor pools {\textendash}defined by proneural gene expression{\textendash} to both glutamatergic and GABAergic neurons. Whereas neurog1-progenitors contribute to both lineages in early embryonic stages, later, other progenitor pools either also assume this role or take over. Using calcium imaging in combination with genetic perturbations, we unveiled that spatiotemporally defined stem cell origin determines specific neuronal activity features. Overall, we provide in vivo evidence for a link between cell ontogeny and functionality in the vertebrate hindbrain.For more information or any specific tool, you can contact us.

}, doi = {10.1101/2025.11.14.688499}, url = {https://www.biorxiv.org/content/early/2025/11/14/2025.11.14.688499}, author = {Blanc, Matthias and Meister, Lydvina and Lemon, William C. and Fiuza, Ulla-Maj and Keller, Philipp J. and Espinosa-Medina, Isabel and Pujades, Cristina} } @article {69694, title = {Spatial single-cell Organellomics reveals nutrient dependent hepatocyte heterogeneity and predicts pathophysiological status in vivo}, journal = {bioRxiv}, year = {2024}, month = {2024 Dec 08}, abstract = {

Cellular heterogeneity within complex tissues and organs is essential to coordinate biological processes across biological scales. The effect of local cues and tissue microenvironments on cell heterogeneity has been mainly studied at the transcriptional level. However, it is within the subcellular scale - the organelles - that lays the machinery to conduct most metabolic reactions and maintain cells alive, ensuring proper tissue function. How changes in subcellular organization under different microenvironments define the functional diversity of cells within organs remains largely unexplored. Here we determine how organelles adapt to different microenvironments using the mouse liver as model system, in combination with computational approaches and machine-learning. To understand organelle adaptation in response to changing nutritional conditions, we analyzed 3D fluorescent microscopy volumes of liver samples labeled to simultaneously visualize mitochondria, peroxisomes, and lipid droplets from mice subjected to different diets: a control diet, a high-fat diet, and a control diet plus fasting. A Cellpose based pipeline was implemented for cell and organelle segmentation, which allowed us to measure 100 different organelle metrics and helped us define subcellular architectures in liver samples at the single cell level. Our results showed that hepatocytes display distinct subcellular architectures within different regions of the liver-close to the central vein, in the middle region, and near the portal vein- and across the various diet groups, thus reflecting their adaptation to specific nutritional inputs. Principal component analysis and clustering of hepatocytes based on organelle signatures revealed 12 different hepatocyte categories within the different experimental groups, highlighting a reduction in hepatocyte heterogeneity under nutritional perturbations. Finally, using single cell organelle signatures exclusively, we generated machine learning models that were able to predict with high accuracy different hepatocyte categories, diet groups, and the stages of MASLD. Our results demonstrate how organelle signatures can be used as hallmarks to define hepatocyte heterogeneity and their adaptation to different nutritional conditions. In the future, our strategy, which combines subcellular resolution imaging of liver volumes and machine learning, could help establish protocols to better define and predict liver disease progression.

}, doi = {10.1101/2024.12.06.627285}, url = {https://doi.org/10.1101/2024.12.06.627285}, author = {Hillsley, Alexander and Adhikari, Raghabendra and Johnson, Alana Dowdell and Espinosa-Medina, Isabel and Funke, Jan and Feliciano, Daniel} } @article {68606, title = {TEMPO enables sequential genetic labeling and manipulation of vertebrate cell lineages.}, journal = {Neuron}, volume = {111}, year = {2023}, month = {2023 Feb 01}, pages = {345-361.e10}, abstract = {

During development, regulatory factors appear in a precise order to determine cell fates over time. Consequently, to investigate complex tissue development, it is necessary to visualize and manipulate cell lineages with temporal control. Current strategies for tracing vertebrate cell lineages lack genetic access to sequentially produced cells. Here, we present TEMPO (Temporal Encoding and Manipulation in a Predefined Order), an imaging-readable genetic tool allowing differential labeling and manipulation of consecutive cell generations in vertebrates. TEMPO is based on CRISPR and powered by a cascade of gRNAs that drive orderly activation and inactivation of reporters and/or effectors. Using TEMPO to visualize zebrafish and mouse neurogenesis, we recapitulated birth-order-dependent neuronal fates. Temporally manipulating cell-cycle regulators in mouse cortex progenitors altered the proportion and distribution of neurons and glia, revealing the effects of temporal gene perturbation on serial cell fates. Thus, TEMPO enables sequential manipulation of molecular factors, crucial to study cell-type specification.

}, keywords = {Animals, Cell Differentiation, Cell Lineage, Gene Expression Regulation, Developmental, Mice, Neurogenesis, Neuroglia, Neurons, Zebrafish}, issn = {1097-4199}, doi = {10.1016/j.neuron.2022.10.035}, author = {Espinosa-Medina, Isabel and Feliciano, Daniel and Belmonte-Mateos, Carla and Linda Miyares, Rosa and Garcia-Marques, Jorge and Foster, Benjamin and Lindo, Sarah and Pujades, Cristina and Koyama, Minoru and Lee, Tzumin} } @article {68518, title = {TEMPO enables sequential genetic labeling and manipulation of vertebrate cell lineages.}, journal = {Neuron}, year = {2022}, month = {2022 Nov 18}, abstract = {

During development, regulatory factors appear in a precise order to determine cell fates over time. Consequently, to investigate complex tissue development, it is necessary to visualize and manipulate cell lineages with temporal control. Current strategies for tracing vertebrate cell lineages lack genetic access to sequentially produced cells. Here, we present TEMPO (Temporal Encoding and Manipulation in a Predefined Order), an imaging-readable genetic tool allowing differential labeling and manipulation of consecutive cell generations in vertebrates. TEMPO is based on CRISPR and powered by a cascade of gRNAs that drive orderly activation and inactivation of reporters and/or effectors. Using TEMPO to visualize zebrafish and mouse neurogenesis, we recapitulated birth-order-dependent neuronal fates. Temporally manipulating cell-cycle regulators in mouse cortex progenitors altered the proportion and distribution of neurons and glia, revealing the effects of temporal gene perturbation on serial cell fates. Thus, TEMPO enables sequential manipulation of molecular factors, crucial to study cell-type specification.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2022.10.035}, author = {Espinosa-Medina, Isabel and Feliciano, Daniel and Belmonte-Mateos, Carla and Linda Miyares, Rosa and Garcia-Marques, Jorge and Foster, Benjamin and Lindo, Sarah and Pujades, Cristina and Koyama, Minoru and Lee, Tzumin} } @article {68342, title = {TEMPO: A system to sequentially label and genetically manipulate vertebrate cell lineages}, journal = {bioRxiv}, year = {2021}, month = {10/2021}, abstract = {

During development, regulatory factors appear in a precise order to determine cell fates over time. To investigate complex tissue development, one should not just label cell lineages but further visualize and manipulate cells with temporal control. Current strategies for tracing vertebrate cell lineages lack genetic access to sequentially produced cells. Here we present TEMPO (Temporal Encoding and Manipulation in a Predefined Order), an imaging-readable genetic tool allowing differential labelling and manipulation of consecutive cell generations in vertebrates. TEMPO is based on CRISPR and powered by a cascade of gRNAs that drive orderly activation/inactivation of reporters/effectors. Using TEMPO to visualize zebrafish and mouse neurogenesis, we recapitulated birth-order-dependent neuronal fates. Temporally manipulating cell-cycle regulators in mouse cortex progenitors altered the proportion and distribution of neurons and glia, revealing the effects of temporal gene perturbation on serial cell fates. Thus, TEMPO enables sequential manipulation of molecular factors, crucial to study cell-type specification.One-Sentence Summary Gaining sequential genetic access to vertebrate cell lineages.Competing Interest StatementThe authors have declared no competing interest.

}, doi = {10.1101/2021.10.27.466134}, url = {https://www.biorxiv.org/content/early/2021/10/28/2021.10.27.466134}, author = {Espinosa-Medina, Isabel and Feliciano, Daniel and Belmonte-Mateos, Carla and Garcia-Marques, Jorge and Foster, Benjamin and Miyares, Rosa Linda and Pujades, Cristina and Koyama, Minoru and Lee, Tzumin} } @article {68341, title = {Dense reconstruction of elongated cell lineages: overcoming suboptimum lineage encoding and sparse cell sampling}, journal = {bioRxiv}, year = {2020}, month = {07/2020}, abstract = {

Acquiring both lineage and cell-type information during brain development could elucidate transcriptional programs underling neuronal diversification. This is now feasible with single-cell RNA-seq combined with CRISPR-based lineage tracing, which generates genetic barcodes with cumulative CRISPR edits. This technique has not yet been optimized to deliver high-resolution lineage reconstruction of protracted lineages. Drosophila neuronal lineages are an ideal model to consider, as multiple lineages have been morphologically mapped at single-cell resolution. Here we find the parameter ranges required to encode a representative neuronal lineage emanating from 100 stem cell divisions. We derive the optimum editing rate to be inversely proportional to lineage depth, enabling encoding to persist across lineage progression. Further, we experimentally determine the editing rates of a Cas9-deaminase in cycling neural stem cells, finding near ideal rates to map elongated Drosophila neuronal lineages. Moreover, we propose and evaluate strategies to separate recurring cell-types for lineage reconstruction. Finally, we present a simple method to combine multiple experiments, which permits dense reconstruction of protracted cell lineages despite suboptimum lineage encoding and sparse cell sampling.Competing Interest StatementThe authors have declared no competing interest.

}, doi = {10.1101/2020.07.27.223321}, url = {https://www.biorxiv.org/content/early/2020/07/29/2020.07.27.223321}, author = {Sugino, Ken and Miyares, Rosa L. and Espinosa-Medina, Isabel and Chen, Hui-Min and Potter, Christopher J and Lee, Tzumin} } @article {68340, title = {Theoretical modeling on CRISPR-coded cell lineages: efficient encoding and optimal reconstruction}, journal = {bioRxiv}, year = {2019}, month = {04/2019}, abstract = {

Delineating cell lineages is a prerequisite for interrogating the genesis of cell types. CRISPR/Cas9 can edit genomic sequence during development which enables to trace cell lineages. Recent studies have demonstrated the feasibility of this idea. However, the optimality of the encoding or reconstruction processes has not been adequately addressed. Here, we surveyed a multitude of reconstruction algorithms and found hierarchical clustering, with a metric based on the number of shared Cas9 edits, delivers the best reconstruction. However, the trackable depth is ultimately limited by the number of available coding units that typically decrease exponentially across cell generations. To overcome this limit, we established two strategies that better sustain the coding capacity. One involves controlling target availability via use of parallel gRNA cascades, whereas the other strategy exploits adjustable Cas9/gRNA editing rates. In summary, we provide a theoretical basis in understanding, designing, and analyzing robust CRISPR barcodes for dense reconstruction of protracted cell lineages.

}, doi = {10.1101/538488}, url = {https://www.biorxiv.org/content/early/2019/04/14/538488}, author = {Sugino, Ken and Garcia-Marques, Jorge and Espinosa-Medina, Isabel and Lee, Tzumin} } @article {68339, title = {The "sacral parasympathetic": ontogeny and anatomy of a myth.}, journal = {Clin Auton Res}, volume = {28}, year = {2018}, month = {2018 02}, pages = {13-21}, abstract = {

We recently defined genetic traits that distinguish sympathetic from parasympathetic neurons, both preganglionic and ganglionic (Espinosa-Medina et al., Science 354:893-897, 2016). By this set of criteria, we found that the sacral autonomic outflow is sympathetic, not parasympathetic as has been thought for more than a century. Proposing such a belated shift in perspective begs the question why the new criterion (cell types defined by their genetic make-up and dependencies) should be favored over the anatomical, physiological and pharmacological considerations of long ago that inspired the "parasympathetic" classification. After a brief reminder of the former, we expound the weaknesses of the latter and argue that the novel genetic definition helps integrating neglected anatomical and physiological observations and clearing the path for future research.

}, keywords = {Ganglia, Parasympathetic, Ganglia, Sympathetic, Humans, Sacrococcygeal Region, Spinal Cord}, issn = {1619-1560}, doi = {10.1007/s10286-017-0478-7}, author = {Espinosa-Medina, Isabel and Saha, Orthis and Boismoreau, Franck and Brunet, Jean-Fran{\c c}ois} }