bioRxiv Science⌕ Search

bioRxiv · 10.1101/782896

Single-cell time-series mapping of cell fate trajectories reveals an expanded developmental potential for human PSC-derived distal lung progenitors

Abstract

Alveolar epithelial type 2 cells (AEC2s) are the facultative progenitors responsible for maintaining lung alveoli throughout life, yet are difficult to access from patients for biomedical research or lung regeneration applications. Here we engineer AEC2s from human induced pluripotent stem cells (iPSCs) in vitro and use single cell RNA sequencing (scRNA-seq) to profile the detailed kinetics of their differentiation over time. We focus on both the desired target cells as well as those that appear to diverge to alternative endodermal fates. By combining scRNA-seq with lentiviral barcoding to trace differentiating clones, we reveal the bifurcating cell fate trajectories followed as primordial lung progenitors differentiate into mature AEC2s. We define the global transcriptomic signatures of primary developing human AEC2s from fetal through adult stages in order to identify the subset of in vitro differentiating cells that appear to recapitulate the path of in vivo development. In addition, we develop computational methods based on Continuous State Hidden Markov Models (CSHMM) to identify the precise timing and type of signals, such as over-exuberant Wnt responses, that induce some early multipotent NKX2-1+ progenitors to lose lung fate as they clonally diverge into a variety of non-lung endodermal lineages. Finally, we find that this initial developmental plasticity is regulatable via Wnt modulation, and subsides over time, ultimately resulting in iPSC-derived AEC2s that exhibit a stable phenotype and nearly limitless self-renewal capacity in vitro. Our methods and computational approaches can be widely applied to study and control directed differentiation, producing an inexhaustible supply of mature lineages, exemplified here by the generation of AEC2s.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Hurley, K., Ding, J., Villacorta-Martin, C., Herriges, M. J., Jacob, A., Vedaie, M., Alysandratos, K. D., Sun, Y. L., Lin, C., Werder, R. B., Wilson, A. A., Mithal, A., Mostoslavsky, G., Caballero, I. S., Guttentag, S. H., Ahangari, F., Kaminski, N., Rodriguez- Fraticelli, A., Camargo, F., Bar-Joseph, Z., Kotton, D.. 2019-09-26. Single-cell time-series mapping of cell fate trajectories reveals an expanded developmental potential for human PSC-derived distal lung progenitors. https://doi.org/10.1101/782896

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Prenatal THC exposure alters metabolic gene expression and KEAP1 regulation in the mouse placental labyrinth

Introduction: Prenatal cannabinoid exposure may influence fetal development through changes in placental biology, yet its effects on metabolic gene regulation remain poorly understood. We examined the effects of {Delta}9-tetrahydrocannabinol (THC) and cannabidiol (CBD) on the mouse placental labyrinth zone. Methods: Pregnant C57BL/6JRj mice received THC (5 mg/kg), CBD (5 mg/kg), or vehicle daily by intraperitoneal injection from gestational day 5 to 17.5. Targeted NanoString profiling and pathway analysis were combined with RT-qPCR and protein measurements. Results: THC exposure reduced glutaminase (Gls), Kelch-like ECH-associated protein 1 (Keap1), and FMS-like tyrosine kinase 3 (Flt3) expression (false discovery rate = 0.0904 for each). Pathway analysis identified transcriptional changes in the nine-gene arginine-metabolism set (false discovery rate = 0.0527). No genes or pathways met the significance criteria following CBD exposure. RT-qPCR confirmed lower Keap1 expression with sexes pooled and identified lower Gls and Flt3 expression in male samples. KEAP1 protein abundance increased despite lower Keap1 mRNA, while nuclear factor erythroid 2-related factor 2 localization and heme oxygenase 1 (Hmox1) expression showed no significant differences. Discussion: These findings identify amino acid metabolic gene expression and KEAP1 regulation as complementary components of the placental response to prenatal THC exposure, connecting transcriptional changes with protein regulation within the placental exchange region.

developmental biology↗

Mutually Repressive Transcription Factors Drive Intestinal Maturation for Weaning

In mammals, rapid neonatal growth depends on specialized intestinal enterocytes that absorb nutrients from milk. These cells exhibit distinct functions, morphologies, and gene expression programs that support neonatal nutrition before transitioning to an adult state at weaning. However, the transcriptional mechanisms that establish neonatal enterocyte identity and coordinate their maturation remain poorly understood. Here we show that the transcription factors BLIMP1 and CASZ1 form a central switch in the timing of enterocyte maturation. While BLIMP1 marks and promotes neonatal enterocytes, CASZ1 is expressed in adult enterocytes and is required for the proper timing of their emergence. Genetic analysis indicates that these neonatal and adult factors are mutually repressive, forming a genetic switch underlying weaning. This regulatory mechanism also controls glucocorticoid-induced maturation, a process relevant to both normal weaning and the clinical use of corticosteroids to promote epithelial maturation in preterm infants. We show that corticosteroids act directly on the intestinal epithelium and require CASZ1 to induce maturation. Together, these findings reveal a transcriptional mechanism that coordinates intestinal epithelial identity with the changing nutritional demands of early life and mediates the response to maturation-promoting hormones.

developmental biology↗

Functional Data Clustering of Filopodia Dynamics

Notch signaling plays a significant role in tissue patterning. During patterning of the fruit fly dorsal thorax peripheral nervous system, basal filopodia extend the spatial range of cell-cell communication, yet it is still unclear how Notch is activated in long range signaling via filopodia interaction. Filopodia undergo dynamic length changes during their lifetime, which could supply the mechanical pulling force required for notch activation. However, their dynamics are often characterized using individual scalar values such as maximum length and extension rate which could obscure more intricate dynamics. Our hypothesis is that signaling filopodia exhibit distinct and recurrent temporal patterns which can be identified by a consideration of their complete lifetime trajectories. Our work analyzes 60 filopodia trajectories at the basal surface of the fly dorsal thorax during patterning. Length profiles were smoothed using cubic B-splines and clustered by first reducing them to their dominant functional principal component followed by the application of various clustering algorithms. We found that 94.29% of the overall trajectory variation is explained by the first four functional principal components which account for variations in maximal length, extension and retraction rate, duration of stationary phase and length fluctuation frequency. Five recurrent temporal profiles (dynamic extension modes) with varying trajectory shapes and physical attributes, were identified using trimmed K-means. These findings demonstrate that whereas the major source of structural variation in filopodia profiles remains the length, extension rate and retraction rate, nontrivial combinations of these create distinct dynamic modes of extension which provide new insight into their length profiles. Our work thus offers a quantitative framework for future research connecting filopodia dynamic extension modes to productive Notch activation.

developmental biology↗