Вход на сайт

Просмотр новости

Найдите то, что Вас интересует

Expression status transition of NOTCH1 accompanies chromatin remodeling in human early retinal progenitor cells [version 6; peer review: 1 approved, 3 approved with reservations]

Дата публикации: 10-10-2026 07:54:11

Background Notch signaling, especially via the Notch1 receptor, supports normal eye development by maintaining the retinal progenitor cell state before differentiation, although the regulatory mechanism behind fine-tuned Notch1 expression remains unclear. Methods We re-analyzed publicly available human fetal retina single-cell RNA/ATAC-seq data at days 59, 74, and 78, using Seurat/Signac pipelines. Results We observed NOTCH1 expression in retinal progenitor cells, which diminished later in differentiation. Integration of single-cell RNA-seq and ATAC-seq revealed decreased chromatin accessibility at the NOTCH1 locus, accompanied by decreased mRNA expression, during differentiation into bipolar cells, horizontal cells, or retinal ganglion cells. Importantly, the chromatin remodeling regions contained a binding motif for the RAX transcription factor, which is essential for retinal progenitor cells, Muller glia, and cones. This result suggested that chromatin remodeling at the NOTCH1 locus might regulate NOTCH1 expression, although single-cell RNA-seq analysis suggested that RAX expression regulation might also contribute to NOTCH1 expression. Conclusions By integrating single-cell RNA-seq and ATAC-seq data, this study identified a chromatin remodeling region containing a putative RAX-binding site in the NOTCH1 locus, suggesting that NOTCH1 expression is regulated at both the transcription factor and chromatin levels during early human retinal development.

Основное содержимое страницы с новостью.

Brief Report

Revised

[version 6; peer review: 1 approved, 3 approved with reservations]

Yoshitoku Watabe

https://orcid.org/0009-0007-4611-8193

1,2, Sakurako Kobayashi

https://orcid.org/0009-0001-1242-2097

1,2, Takahiro Nakayama

https://orcid.org/0000-0002-4023-4560

1,2, Satoru Takahashi

https://orcid.org/0000-0002-8540-7760

1,3, Masaharu Yoshihara

https://orcid.org/0000-0002-0212-0909

1,4

Yoshitoku Watabe

https://orcid.org/0009-0007-4611-8193

1,2, Sakurako Kobayashi

https://orcid.org/0009-0001-1242-2097

1,2, [...] Takahiro Nakayama

https://orcid.org/0000-0002-4023-4560

1,2, Satoru Takahashi

https://orcid.org/0000-0002-8540-7760

1,3, Masaharu Yoshihara

https://orcid.org/0000-0002-0212-0909

1,4

PUBLISHED 10 Oct 2026

Author details Author details

1 College of Medicine, School of Medicine and Health Sciences, University of Tsukuba, Tsukuba, Ibaraki Prefecture, Japan
2 Department of Anatomy and Embryology, Institute of Medicine, University of Tsukuba, Tsukuba, Japan
3 Transborder Medical Center, Institute of Medicine, University of Tsukuba, Tsukuba, Japan
4 Department of Primary Care and Medical Education, Institute of Medicine, University of Tsukuba, Tsukuba, Japan

Yoshitoku Watabe
Roles: Data Curation, Formal Analysis, Software, Visualization, Writing – Original Draft Preparation

Sakurako Kobayashi
Roles: Writing – Original Draft Preparation

Takahiro Nakayama
Roles: Writing – Original Draft Preparation

Satoru Takahashi
Roles: Supervision, Writing – Review & Editing

Masaharu Yoshihara
Roles: Conceptualization, Formal Analysis, Funding Acquisition, Methodology, Project Administration, Software, Writing – Original Draft Preparation

OPEN PEER REVIEW

REVIEWER STATUS

Corresponding author: Masaharu Yoshihara Competing interests: No competing interests were disclosed.

Grant information: This study was supported by the JSPS KAKENHI Grant-in-Aid for Early-Career Scientists (grant no. JP23K14429) to M.Y.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Copyright:  © 2026 Watabe Y et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. How to cite: Watabe Y, Kobayashi S, Nakayama T et al. Expression status transition of NOTCH1 accompanies chromatin remodeling in human early retinal progenitor cells [version 6; peer review: 1 approved, 3 approved with reservations]. F1000Research 2026, 14:31 (https://doi.org/10.12688/f1000research.159630.6) First published: 06 Jan 2025, 14:31 (https://doi.org/10.12688/f1000research.159630.1) Latest published: 10 Oct 2026, 14:31 (https://doi.org/10.12688/f1000research.159630.6)

Introduction

Signal transduction via the Notch signaling pathway depends on the expression of receptors regulated at multiple levels. In addition to intracellular machineries such as glycosylation,1 ubiquitination,2 and phosphorylation,3 these regulations include chromatin remodeling and DNA-binding proteins, such as transcription factors and transcriptional repressors, which could regulate the levels of Notch ligands and receptors. Since fine-tuned signal transduction is necessary for development, it is important to clarify the regulatory mechanisms of receptor expression for understanding the regulation of cell differentiation and subsequent tissue development.

The retina is a good model for investigating cellular differentiation since cell fate determination is well documented. The developed retina is composed of multiple cell types, including retinal ganglion cells, amacrine cells, bipolar cells, horizontal cells, rods, cones, and glial cells (Muller glia), all of which originate from retinal progenitor cells (retinal progenitors). In addition, astrocytes and microglia exist during retinal development. Recently, a detailed molecular characterization at single-cell resolution of the developing retina was reported.4 In addition, retinal progenitors are also known to express several transcription factors such as Lhx2,5 Pax6, 6 Rax,7 and Vsx2.8

Notch signaling involves four Notch receptors that are expressed differently in space. In rat embryonic eyes, Notch1 was expressed on the posterior side of the retina at embryonic days (E) 13.5 and E14.5; Notch2 was expressed in the retinal pigment epithelium throughout E12.5 and E14.5; and Notch3 was expressed throughout the retina from E12.5 to E14.5, with strong expression on the anterior side at E14.5.9,10 Further analyses on Notch2 using a knock-in mouse suggested that Notch2 was expressed at a slightly detectable level from the E9.5 optic vesicle stage in the retinal neuroepithelium that contained retinal progenitors.11 In addition, deletion of Notch2 in outer ciliary epithelium disrupted ciliary body formation,12 suggesting that this gene acts in the temporal side of the eye. Indeed, the spatial information in the mouse retina at E13.5 determined upstream regulators involved in Hes1 induction, which acts as a hub for Notch-dependent and -independent inputs in retinal progenitors.13 Notably, Notch4 was expressed in arterial endothelial cells rather than retinal progenitors and their descendants in the retina.14

Notch signaling is also involved in the complex differentiation of retinal progenitors into differentiated cells. Loss-of-function of Notch common co-actors Rbpj15 and Maml16 increased Crx-expressing photoreceptor precursor cells and cone/horizontal cell-restricted retinal progenitors, respectively. More specifically, Notch1 has been shown to inhibit the rod fate and maintain pluripotency of retinal progenitors.17−19 This notion is also supported by a single-cell ATAC-seq and disease-associated 5q14.3 enhancer knockout study.20 In addition, Notch3, as well as Notch1, was shown to be expressed as early as the optic vesicle stage.21 Indeed, Notch3 knockout mice showed a reduced number of retinal ganglion cells,22 although zebrafish Notch3 was also essential for Muller glial cells.23 These results suggest that Notch1 and Notch3 act in retinal progenitors to regulate their differentiation, although it is unclear how retinal progenitor-dominant expressions of Notch1 and Notch3 are regulated during retinal progenitor differentiation.

A murine ophthalmological study examined global epigenetic changes and interacting transcription factors during retinal cell differentiation.24 By chromVAR analysis in the Signac pipeline and CUT&Tag analysis, this study revealed that the epigenetic landscape of cell type-specific enhancers shifted during retinal cell differentiation and identified several transcription factors (e.g., Otx2, Atoh7, Pou4f2, and Isl1) that potentially work in each differentiation stage.24 ChromVAR analysis identified five Atoh7-binding motifs in the Notch1 locus that were specific to naïve retinal progenitors, although CUT&Tag analysis did not result in positive findings for any of these motifs. In contrast, this report also identified chromatin remodeling at retinal progenitor-specific enhancers for key transcription factors, including Vsx2, and showed binding of transcription factors and their binding sites for key transcription factors, including Rax, Lhx2, and Pax6, in naïve and transitional retinal progenitors, although specific genomic regions for these transcription factors are still lacking, as chromVAR was used. Another study also reported chromatin remodeling in the NOTCH1 locus in humans,20 although a comprehensive analysis focusing on possible epigenetic regulation of the four Notch receptor gene expressions in humans, including the cis-regulatory elements (CREs), is still lacking, as this study focused on retinal cell differentiation instead of Notch signaling.

The Notch loci are subject to epigenetic regulation under both normal25–30 and pathological31–39 conditions in a context-dependent manner. However, few studies have used genome-wide data to investigate transcription factor expression and the associated transcription factor binding sites underlying Notch receptor gene expression during cell differentiation. Although a single-cell RNA/ATAC-seq dataset from developing retinas, in which differentiation trajectories were well characterized, is available, and the accessibility of the NOTCH1 locus is known to decrease over differentiation,20 how this chromatin remodeling affects NOTCH1 expression is still unknown. To gain insight into chromatin remodeling and possible CREs responsible for regulation of the Notch receptor gene expression, we re-analyzed a publicly available multi-omics dataset of single-cell RNA-seq and single-cell ATAC-seq of human fetal retinas.20

Methods

To perform fine-grained annotation of the single-cell RNA-seq and ATAC-seq data, we downloaded an h5ad file,4 which includes cell annotations from detailed molecular characteristics analysis of embryonic retinal cells from the CZ CELLxGENE Discover platform (https://cellxgene.cziscience.com/collections/c11009b8-b113-4a99-9890-78b2f9df9d79). The h5ad file was converted into an RDS file and then analyzed in the Seurat pipeline.40

A single-cell RNA/ATAC-seq dataset (GSE183684)20 was downloaded from the Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/). Data from the three early time points (days 59, 74, and 78) in this dataset were used to balance computational burden and the number of retinal progenitors. The data were processed in the pipelines using Seurat and Signac.41 Detailed session information for each step is provided in the archived code (See Data availability section). Integration of the single-cell RNA-seq data and the single-cell ATAC-seq data was conducted using the “FindTransferAnchors” function in Seurat. We used the FIMO tool42 in the MEME Suite,43 referencing the JASPAR motif database (https://jaspar.elixir.no/) and the human genome assembly hg38 in the University of California, Santa Cruz (UCSC) genome browser (https://genome.ucsc.edu/) to search transcription factor binding motifs. We further compared the identified RAX-binding site with the JASPAR transcription factor binding site track (JASPAR 2026) in the UCSC Genome Browser and with the candidate CREs registered in SCREEN v4 (accessed September 25, 2026).44

Results

We started by analyzing the single-cell RNA-seq data4 that we will use for annotation in the other single-cell RNA/ATAC-seq data.20 Uniform manifold approximation and projection (UMAP) analysis showed complexly ramified cell clusters ( Figure 1A), and in concordance with the original report,4 we identified SOX2 and MKI67-double-positive Retinal progenitors ( Figure 1B-C). The cell number in each cluster is available in Additional Table 1. We performed dot plot analysis of the marker genes (SOX2 and MKI67 for Retinal progenitors; RLBP1 for Muller glia; PAX6 for Retinal ganglion cell/Amacrine cell/Horizontal cell fate; RCVRN, OTX2, PDE6H, NRL, and RHO for Rods and Cones; VSX2 for Bipolar cells; TFAP2A, TFAP2B for Amacrine cells; ONECUT2 for Horizontal cells; POU4F2 and RBPMS for Retinal ganglion cell) according to the original report4 to provide the average expression levels and proportion of these marker-expressing cells to guarantee the validity of annotation ( Figure 1D). Importantly, some of the markers were expressed in multiple cell clusters. We then screened the four Notch receptor genes and found that NOTCH1 was expressed in the Retinal progenitors (log2 fold change to background: 1.09, adjusted p-value: 0), Transitory (log2 fold change to background: 1.32, adjusted p-value: 0), and Muller glia (log2 fold change to background: 1.43, adjusted p-value: 0) cell clusters. The other Notch receptor genes were also expressed in the Retinal progenitors, although the expression was sparse, prompting us to focus on NOTCH1. We also examined the expression of RAX, PAX6, LHX2, and VSX2. RAX was enriched in the Retinal progenitors (log2 fold change to background: 0.62, adjusted p-value: 0), Transitory (log2 fold change to background: 0.87, adjusted p-value: 0), Muller glia (log2 fold change to background: 0.72, adjusted p-value: 1.66 x 10−149), Cone precursors (log2 fold change to background: 0.59, adjusted p-value: 7.02 x 10−35), Cones (log2 fold change to background: 1.31, adjusted p-value: 0), and Astrocytes (log2 fold change to background: 0.48, adjusted p-value: 5.36 x 10−3) cell clusters. PAX6 was also enriched in Retinal progenitors (log2 fold change to background: 0.15, adjusted p-value: 1.84 x 10−54), Transitory (log2 fold change to background: 0.23, adjusted p-value: 2.34 x 10−163), Amacrine cells (log2 fold change to background: 1.20, adjusted p-value: 0), Horizontal cells (log2 fold change to background: 1.13, adjusted p-value: 0), Retinal ganglion cells (log2 fold change to background: 0.35, adjusted p-value: 1.15 x 10−160), and Muller glia (log2 fold change to background: 0.18, adjusted p-value: 6.83 x 10−39) cell clusters. LHX2 was enriched in Retinal progenitors (log2 fold change to background: 0.95, adjusted p-value: 0), Transitory (log2 fold change to background: 1.43, adjusted p-value: 0), Muller glia (log2 fold change to background: 0.94, adjusted p-value: 1.59 x 10−163), Astrocytes (log2 fold change to background: 1.15, adjusted p-value: 5.20 x 10−20) cell clusters. VSX2 was enriched in Retinal progenitors (log2 fold change to background: 0.42, adjusted p-value: 2.12 x 10−175), Transitory (log2 fold change to background: 1.07, adjusted p-value: 0), Bipolar cells (log2 fold change to background: 2.07, adjusted p-value: 0), Muller glia (log2 fold change to background: 0.60, adjusted p-value: 1.60 x 10−91) cell clusters. All the enriched gene information is available in Additional Table 2. For the following single-cell ATAC-seq analysis, we provide UMAP results highlighting Retinal progenitors ( Figure 1E) and Transitory ( Figure 1F) cell clusters, and feature plots for NOTCH1 ( Figure 1G) and RAX ( Figure 1H). We note that Retinal progenitors and Transitory cell clusters showed similar distributions in the UMAP, in which NOTCH1 and RAX were expressed.

ba7b8689-8f0b-48d9-b37a-a57d06918169_figure1.gif

Figure 1. Single-cell RNA-seq analysis of a dataset for annotation.

(A) UMAP analysis of the single-cell RNA-seq data4 for annotation of the other single-cell RNA/ATAC-seq dataset.20 (B) Feature plot for SOX2 expression. (C) A feature plot for MKI67 expression. (D) Dot plot of marker gene expression, along with Notch genes and retinal progenitor-associated transcription factors (RAX, PAX6, LHX2, and VSX2). (E) Clear representation of Retinal progenitors in the UMAP result. (F) Clear representation of Transitory cell clusters in the UMAP result. (G) NOTCH1 expression in the UMAP result. (H) RAX expression in the UMAP result.

Next, we examined single-cell RNA-seq data from human fetal retinas at days 59, 74, and 78 from GSE183684.20 The cell numbers in each cluster are available in Additional Table 3. After using the “RunHarmony” function45 with the Seurat pipeline to reduce batch effects, we annotated the cells according to the earlier single-cell RNA-seq data4 using the “FindTransferAnchor” function in Seurat. These data also contained all types of the aforementioned cell clusters ( Figure 2A). Indeed, we observed SOX2/MKI67-double-positive Retinal progenitors ( Figure 2B-C). We also provided a dot plot for characteristic gene expression for each cell cluster ( Figure 2D). As expected, screening of the Notch receptor genes suggested prominent NOTCH1 expression in the Retinal progenitors (log2 fold change to background: 1.26, adjusted p-value: 0), Transitory (log2 fold change to background: 1.03, adjusted p-value: 1.88 x 10−231), and Muller glia (log2 fold change to background: 1.45, adjusted p-value: 1.50 x 10−106) cell clusters. In addition, RAX was enriched in Retinal progenitors (log2 fold change to background: 0.64, adjusted p-value: 1.32 x 10−131), Transitory (log2 fold change to background: 0.81, adjusted p-value: 3.88 x 10−153), Muller glia (log2 fold change to background: 0.38, adjusted p-value: 2.03 x 10−10), Cone precursors (log2 fold change to background: 0.95, adjusted p-value: 6.79 x 10−82), Cones (log2 fold change to background: 1.43, adjusted p-value: 3.67 x 10−107), and Rods (log2 fold change to background: 0.96, adjusted p-value: 8.94 x 10−16) cell clusters. PAX6 was enriched in Horizontal cells (log2 fold change to background: 0.84, adjusted p-value: 2.53 x 10−122) and Retinal ganglion cells (log2 fold change to background: 0.21, adjusted p-value: 1.98 x 10−43) cell clusters but not in Retinal progenitors or Transitory cell clusters, possibly owing to its wide expression across the cell clusters. LHX2 was enriched in Retinal progenitors (log2 fold change to background: 0.87, adjusted p-value: 4.90 x 10−169), Transitory (log2 fold change to background: 1.03, adjusted p-value: 1.62 x 10−153), Muller glia (log2 fold change to background: 0.21, adjusted p-value: 1.31 x 10−3), Amacrine cells (log2 fold change to background: 0.49, adjusted p-value: 8.75 x 10−2), and Astrocytes (log2 fold change to background: 1.29, adjusted p-value: 1.16 x 10−4) cell clusters. VSX2 was enriched in Retinal progenitors (log2 fold change to background: 0.67, adjusted p-value: 3.82 x 10−152), Transitory (log2 fold change to background: 1.14, adjusted p-value: 6.82 x 10−290), Muller glia (log2 fold change to background: 0.75, adjusted p-value: 2.38 x 10−44), Amacrine cells (log2 fold change to background: 0.41, adjusted p-value: 1.50 x 10−8), Bipolar cells (log2 fold change to background: 2.64, adjusted p-value: 7.01 x 10−152) cell clusters. All the enriched gene information is available in Additional Table 4. For the following single-cell ATAC-seq analysis, we provide UMAP results highlighting Retinal progenitors ( Figure 2E) and Transitory ( Figure 2F) cell clusters, and feature plots for NOTCH1 ( Figure 2G) and RAX ( Figure 2H). Similar to the previous data ( Figure 1E-H), feature plot analysis suggested that NOTCH1 and RAX were expressed in Retinal progenitors and Transitory cell clusters.

ba7b8689-8f0b-48d9-b37a-a57d06918169_figure2.gif

Figure 2. Single-cell RNA-seq analysis of human fetal retina at days 59, 74, and 78.

(A) UMAP analysis of the single-cell RNA-seq data of a single-cell RNA-seq dataset.20 (B) A feature plot for SOX2 expression. (C) A feature plot for MKI67 expression. (D) A dot plot of marker gene expression, along with Notch genes and retinal progenitor-associated transcription factors (RAX, PAX6, LHX2, and VSX2). (E) Clear representation of Retinal progenitors in the UMAP result. (F) Clear representation of Transitory cell clusters in the UMAP result. (G) NOTCH1 expression in the UMAP result. (H) RAX expression in the UMAP result.

To examine epigenetic changes underlying NOTCH1 expression dynamics, we examined single-cell ATAC-seq data from human fetal eyes at days 59, 74, and 78 from GSE183684.20 UMAP analysis confirmed that this data contains Retinal progenitors and Transitory cell clusters, along with other differentiated cell clusters, including Cones ( Figure 3A-C). The cell number in each cluster is available in Additional Table 5. We examined Tn5 insertion frequency in the genomic NOTCH1 region, including 100 kb upstream and downstream, with the Signac pipeline ( Figure 3D). To identify the statistically significant Tn5 insertion sites, we used the “Links” function in the Signac pipeline to obtain z-scores and p-values (Additional Table 6). To examine the transcription factor binding sites of RAX, PAX6, LHX2, and VSX2 in those Tn5 insertion sites, we used the FIMO tool and identified potential transcription factor binding sites (Additional Table 7). By comparing the Tn5 insertion sites and the potential transcription factor binding sites, we found a statistically significant Tn5 insertion site in the genomic NOTCH1 region (chr9: 136542126–136542839) containing a transcription factor binding site (chr9: 136542636–136542645) for RAX, but not for PAX6, LHX2, and VSX2. This region is indicated with an arrowhead in the whole genomic NOTCH1 region ( Figure 3D) and the focused region ( Figure 3E). We also performed footprinting analysis and found that RAX-binding is frequently observed in Retinal progenitors, Transitory, and Muller glia cell clusters ( Figure 3F), although this analysis is genome-wide and not specific to the genomic NOTCH1 region. Importantly, the Tn5 insertion event is frequent in Retinal progenitors, Transitory, Amacrine cells, Cone precursors, Cones, Rods, and Muller glia compared with Bipolar cells, Horizontal cells, and Retinal ganglion cells. As RAX is not a classic pioneer factor, in contrast to SOX2 and PAX6, this observation raises the possibility that fine-tuned RAX and NOTCH1 action in Retinal progenitors, Transitory, Amacrine cells, Cone precursors, Cones, Rods, and Muller glia is supported by chromatin remodeling, along with regulated RAX expression.

ba7b8689-8f0b-48d9-b37a-a57d06918169_figure3.gif

Figure 3. Single-cell ATAC-seq analysis of human fetal retina at days 59, 74, and 78.

(A) UMAP analysis of the single-cell ATAC-seq data.20 (B) Clear representation of Retinal progenitors in the UMAP result. (C) Clear representation of Transitory cell cluster in the UMAP result. (D) A peak plot for the NOTCH1 locus with the 100 kb upstream and downstream. The arrowhead shows the chromatin remodeling region in the NOTCH1 locus, which contains a RAX-binding site and is highlighted in (E). (E) A peak plot for the NOTCH1 locus focusing on the chromatin remodeling region containing a RAX-binding site (arrowhead). (F) Footprint analysis revealed frequent RAX binding in Retinal progenitors, Transitory, and Muller glia.

Discussion

The involvement of Notch signaling in cell fate choices is well documented, including in Drosophila neurogenesis46 and mammalian biliary development.47 A computer simulation study suggested that the regulation of Notch receptor expression is necessary for proper signal transduction in the developing tissue.48 To the best of our knowledge, few studies have used genome-wide investigations for regulatory mechanisms of Notch receptor gene expression. Although the accessibility of the NOTCH1 locus is known to decrease during retinal cell differentiation,20 how this chromatin remodeling affects NOTCH1 expression, along with candidate CREs, is still unknown. In this study, we hypothesized that chromatin remodeling and transcription factor levels are involved and sought possible examples using a public single-cell RNA/ATAC-seq dataset.20 We used an already processed dataset from another study that intensively examined molecular characteristics of developing retinal cells4 to enable reliable annotation of the cells in the single-cell RNA/ATAC-seq dataset.20 We observed prominent NOTCH1 expression both in the reference and query single-cell RNA-seq datasets, although the involvement of other Notch receptors in the developing retina was also reported.9–14 Therefore, in the single-cell ATAC-seq analysis, we focused on the NOTCH1 locus, including 100 kb upstream and downstream of its coding region. We observed distinct Tn5 insertion frequencies by differentiation status and, importantly, included one RAX-binding site within open chromatin regions. This RAX-binding site is open in Retinal progenitors, Transitory, Amacrine cells, Cone precursors, Cones, Rods, and Muller glia compared with Bipolar cells, Horizontal cells, and Retinal ganglion cells, which is in line with previous studies.7,49

The chromatin remodeling region (chr9: 136542126–136542839) containing a RAX-binding site (chr9: 136542636–136542645) partly overlaps with a candidate CRE (chr9: 136542638–136542845, Accession #: EH38E3919891) provided by SCREEN v4 (Zhiping Weng Lab, UMass Chan Medical School, https://screen.wenglab.org, Access date: Sep.25, 2026).44 However, one limitation is that the score of this RAX-binding site in the JASPAR track of the UCSC Genome Browser is low (226, corresponding to a p-value of 10−2.26), below the default display threshold of 400. Therefore, the RAX-binding site identified by our integrated analysis of transcription factor expression and binding motifs should be considered a candidate requiring future experimental validation. Another limitation is that the single-cell RNA/ATAC-seq dataset would significantly affect the results. We used the three early time points (days 59, 74, and 78) in a single-cell RNA/ATAC-seq dataset (GSE183684)20 to balance computational burden and the number of retinal progenitors, although performing investigations using the full dataset could lead to different results. Indeed, the Retinal progenitors and Transitory cell clusters are widely distributed and partly overlap in the UMAP results ( Figure 1E-F, Figure 2E-F, and Figure 3B-C). This is mainly because these cell clusters show similar gene expression before terminal differentiation, as shown in the original paper for this annotation,4 and, in the query dataset, partly because we used only the three early time points, which may have excluded more differentiated cells. This limitation also supports the need for future experimental validation.

One of the transcription factors linked to NOTCH1 is PAX6. PAX6 haploinsufficiency has been linked to aniridia,50 an ophthalmological disease often accompanied by fovea hypoplasia. AAV-mediated PAX6 overexpression in the Small eye (Sey) mouse (a mouse model of aniridia)51,52 rescued ganglion cell layer thickness, which was preceded by increased Notch1 expression.53 However, the timing of this overexpression (postnatal day 21) mimicked the average age of diagnosis in human patients (22.1 months)54 and was much later than the timing of the fetal samples re-analyzed in this study. It is known that PAX6’s DNA-binding affinity is so delicate that disease-causing PAX6 mutations alter rather than ablate this protein-DNA binding55 or require additional factors other than alterations in their DNA-binding affinities for their roles in pathogenesis.56 We observed PAX6 expression in a wide variety of cell clusters, including Retinal progenitors and Transitory cell clusters, both in the reference and query single-cell RNA-seq datasets. In embryonic stem cells, SOX2 (one of the Retinal progenitors markers)4 binds to “hidden” chromatin regions in the nucleosome, and then PAX6 binds to the SOX2-bound “unwrapped” genomic regions to facilitate neural differentiation.57 Expression of these pioneer factors58 was indeed observed in the Retinal progenitors and Transitory cell clusters in the reference and query single-cell RNA-seq datasets. Given that rax upregulated notch1 transcription,7 it is possible that PAX6 and SOX2 unwrap multiple genomic regions before RAX binding to the NOTCH1 locus; however, we were not able to identify PAX6-binding sites in the NOTCH1 locus, although the delicate nature of PAX6 binding might be involved. Although this point needs further investigation, it does not jeopardize the finding that chromatin remodeling occurs at the RAX-binding site in the NOTCH1 locus. As RAX expression is observed in Retinal progenitors, Transitory, Muller glia, Cone precursors, and Cones cell clusters in the two single-cell RNA-seq datasets, it is likely that NOTCH1 expression in Retinal progenitors and Transitory cell clusters is in part regulated at the RAX protein level. However, it is also possible that the chromatin remodeling that we observed in this study could help fine-tune regulation of NOTCH1 expression. In conclusion, we provide a chromatin remodeling region in the NOTCH1 locus that contains a RAX-binding site, raising the possibility of regulation of NOTCH1 expression at the transcription factor protein and chromatin levels.

Ethical considerations

This study does not generate new data from humans. Therefore, we consider that there are no special requirements on recruitment and publication. In addition, this study does not involve analysis of animals and plants.

Consent for publication

Not applicable.

Authors’ contributions

Y. W.: Data Curation, Formal Analysis, Software, Visualization, Writing – Original Draft Preparation.

S.K.: Writing – Original Draft Preparation.

T.N.: Writing – Original Draft Preparation.

S.T.: Supervision, Writing – Review & Editing.

M.Y.: Conceptualization, Formal Analysis, Funding Acquisition, Methodology, Project Administration, Software, Writing – Original Draft Preparation.

Software availability

Archived source R code available from: https://doi.org/10.5281/zenodo.2175567860

License: OSI-approved open-license software is under the terms of the Creative Commons Zero “No rights reserved” data waiver (CC0 1.0 Universal).

The project contains the following underlying data:

  • • 260320_retina_chromatin_d59_before_merge.R (code No.1)

  • • 260319_retina_chromatin_d59_d74_d78_merged_No0.R (code No.2)

  • • 260319_retina_chromatin_d59_d74_d78_merged_No1.R (code No.3)

  • • 260319_retina_chromatin_d59_d74_d78_merged_No2.R (code No.4)

  • • 260319_retina_chromatin_d59_d74_d78_merged_No3.R (code No.5)

  • • Watabe_F1000_ver5_new_No1.R (code No.6)

  • • Watabe_F1000_ver5_new_No2.R (code No.7)

  • • Watabe_F1000_ver5_new_No3.R (code No.8)

  • • Watabe_F1000_ver5_new_No4.R (code No.9)

  • • Watabe_F1000_ver5_new_No5.R (code No.10)

Acknowledgements

The authors thank Dr. Shunya Sadaki (University of Tsukuba) for his constructive advice on FIMO and Dr. Petr Baranov and Dr. Emil Kriukov (University of Pittsburgh) for kindly providing already annotated single-cell RNA-seq data.4

References

Grant information

This study was supported by the JSPS KAKENHI Grant-in-Aid for Early-Career Scientists (grant no. JP23K14429) to M.Y.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Article Versions (6)

Published: 10 Oct 2026, 14:31

Published: 21 Aug 2026, 14:31

Published: 17 Apr 2026, 14:31

Published: 14 Nov 2025, 14:31

Published: 22 Sep 2025, 14:31

Published: 06 Jan 2025, 14:31

Copyright

© 2026 Watabe Y et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Download

Export To

metrics

Views Downloads
F1000Research - -
PubMed Central

Data from PMC are received and updated monthly.

- -

Citations

CITE

how to cite this article

Watabe Y, Kobayashi S, Nakayama T et al. Expression status transition of NOTCH1 accompanies chromatin remodeling in human early retinal progenitor cells [version 6; peer review: 1 approved, 3 approved with reservations]. F1000Research 2026, 14:31 (https://doi.org/10.12688/f1000research.159630.6)

NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.

track

receive updates on this article

Track an article to receive email alerts on any updates to this article.

Open Peer Review

Current Reviewer Status: ?

Key to Reviewer Statuses VIEW HIDE

ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested

Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.

Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions

Version 5

VERSION 5

PUBLISHED 21 Aug 2026

Revised

Reviewer Report 28 Sep 2026

Tomohiro Masuda, Kobe City Eye Hospital, Kobe, Japan 

Approved

VIEWS 0

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Ophthalmology, Developmental biology, gene regulation

Close

Reviewer Report 03 Sep 2026

Benedikt Obermayer, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany 

Approved with Reservations

VIEWS 0

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Bioinformatics, Functional and Single-Cell Genomics

Close

Version 4

VERSION 4

PUBLISHED 17 Apr 2026

Revised

Reviewer Report 14 Jul 2026

Tomohiro Masuda, Kobe City Eye Hospital, Kobe, Japan 

Approved with Reservations

VIEWS 0

  • Is the work clearly and accurately presented and does it cite the current literature?

    Partly

  • Is the study design appropriate and is the work technically sound?

    Yes

  • Are sufficient details of methods and analysis provided to allow replication by others?

    Partly

  • If applicable, is the statistical analysis and its interpretation appropriate?

    Not applicable

  • Are all the source data underlying the results available to ensure full reproducibility?

    Yes

  • Are the conclusions drawn adequately supported by the results?

    Partly

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Ophthalmology, Developmental biology, gene regulation

Close

Reviewer Report 14 May 2026

Benedikt Obermayer, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany 

Approved with Reservations

VIEWS 0

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Bioinformatics, Functional and Single-Cell Genomics

Close

Version 3

VERSION 3

PUBLISHED 14 Nov 2025

Revised

Reviewer Report 26 Feb 2026

Benedikt Obermayer, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany 

Approved with Reservations

VIEWS 0

  • Is the work clearly and accurately presented and does it cite the current literature?

    No

  • Is the study design appropriate and is the work technically sound?

    Partly

  • Are sufficient details of methods and analysis provided to allow replication by others?

    Yes

  • If applicable, is the statistical analysis and its interpretation appropriate?

    Partly

  • Are all the source data underlying the results available to ensure full reproducibility?

    Yes

  • Are the conclusions drawn adequately supported by the results?

    Partly

References

1. Zuo Z, Cheng X, Ferdous S, Shao J, et al.: Single cell dual-omic atlas of the human developing retina. Nature Communications. 2024; 15 (1). Publisher Full Text
2. Thomas E, Timms A, Giles S, Harkins-Perry S, et al.: Cell-specific cis-regulatory elements and mechanisms of non-coding genetic disease in human retina and retinal organoids. Developmental Cell. 2022; 57 (6): 820-836.e6 Publisher Full Text

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Bioinformatics, Functional and Single-Cell Genomics

Close

Version 2

VERSION 2

PUBLISHED 22 Sep 2025

Revised

Reviewer Report 30 Sep 2025

Zhongjie Tang, University of Southern California, Los Angeles, Southern California, USA 

Approved with Reservations

VIEWS 0

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Single-cell RNA-seq and ATAC-seq analysis, computational biology

Close

Version 1

VERSION 1

PUBLISHED 06 Jan 2025

Reviewer Report 22 Aug 2025

Zhongjie Tang, University of Southern California, Los Angeles, Southern California, USA 

Approved with Reservations

VIEWS 0

  • Is the work clearly and accurately presented and does it cite the current literature?

    Partly

  • Is the study design appropriate and is the work technically sound?

    Partly

  • Are sufficient details of methods and analysis provided to allow replication by others?

    Yes

  • If applicable, is the statistical analysis and its interpretation appropriate?

    Not applicable

  • Are all the source data underlying the results available to ensure full reproducibility?

    Yes

  • Are the conclusions drawn adequately supported by the results?

    Partly

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Single-cell RNA-seq and ATAC-seq analysis, computational biology

Close

Reviewer Report 05 Feb 2025

Mariko Kashiwagi, Massachusetts General Hospital, Charlestown, USA 

Approved with Reservations

VIEWS 0

  • Is the work clearly and accurately presented and does it cite the current literature?

    Yes

  • Is the study design appropriate and is the work technically sound?

    Partly

  • Are sufficient details of methods and analysis provided to allow replication by others?

    Yes

  • If applicable, is the statistical analysis and its interpretation appropriate?

    Not applicable

  • Are all the source data underlying the results available to ensure full reproducibility?

    Yes

  • Are the conclusions drawn adequately supported by the results?

    Partly

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Skin biology, Immunology, Gene regulation

Close

Comments on this article Comments (0)

Version 6

VERSION 6 PUBLISHED 06 Jan 2025

Comment

Схожие новости

#Наименование новостиТональностьИнформативностьДата публикации
1Aging blocks the retina's ability to regrow lost neurons, a first-of-its-kind study finds08.4204-09-2026
2Раскрыт один из неочевидных механизмов формирования заячьей губы0017-04-2025
3Beyond the Retina—OCT Insights Into Neurodevelopment06.5401-07-2026
4Largest known living-eye cone cell database maps differences by age, sex and retinal location08.9126-08-2026
5Peripapillary Unilateral Retinal Pigment Epithelium Dysgenesis0525-06-2026
6MicroRNA network regulation of developmental bone toxicity in a human embryonic stem cell osteogenic model08.9929-07-2026
7RAFT-OS Transplant for Aniridia-Related Keratopathy019.1723-07-2026
8Mechanisms Associated with PINK1 Variants in Parkinson's Disease [version 3; peer review: 2 approved, 1 not approved]0718-06-2026
9Subretinal Fluid After Repeated Low-Level Red Light Therapy09.9123-07-2026

Классификация: . Схожих патентов: 0. Схожих новостей: 9. Тональность: 0. Информативность: 19.02. Источник: f1000research.com.