Generation of an In Vivo Senescent Cell Atlas: Across the life-course and in pathology
Lead Research Organisation:
University of Cambridge
Department Name: CRUK Cambridge Research Institute
Abstract
Senescence is a state of stable cell cycle arrest, triggered by physiological and pathological stressors. Whilst senescent cells cannot proliferate, they are biologically active, and have been shown to be functionally active in a variety of settings including (but not limited to) embryogenesis, ageing, wound healing, cardiovascular disease, and tumourigenesis. In these diverse contexts, senescence can be either a positive or detrimental component to organismal health. For example, senescent cells promote the prompt closure of wounds, and their absence delays this process. Whilst in ageing the accumulation of senescent cells across multiple tissues results in tissue dysfunction, in this context their ablation (pharmacological or genetic) has been shown to extend healthy life-span in mice. Many of these effects are believed to be mediated by the acquired secretory phenotype (Senescence-Associated Secretory Phenotype; SASP).
So how do senescent impinge on these diverse biological processes, across a variety tissues? Surely a senescent liver cell during fibrosis cannot engage the exact same programme as precancerous skin cell, as the functional consequences are widely divergent. To answer this question, our working hypothesis is that senescence cannot be described as one programme, and that different tissue and senescence-inducing contexts are associated with both unique and common functional states. Furthermore, we also posit that senescence in one pathophysiological setting (i.e. fibrosis) is not composed of one senescent population, but a number of sub-populations whose composite together orchestrates the phenotypic outcome. Thus, alterations to the proportions of these sub-populations may result in a pathological disease.
However, currently the majority of senescence data has been developed in vitro, and in a small number of lines (often primary fibroblasts). As such we lack a basic understanding of senescence in vivo, across these diverse states and tissue contexts, and importantly at a resolution that enables us to determine what sub-populations exist.
The aim of this proposal is to generate a high-quality in vivo atlas of these diverse senescent states to act as a catalyst for the research and biotech industry. Our proposal centres around the use of novel tools to isolate senescent cells (a p16-lineage tracing mouse, and a fluorescence dye for Senescence-Associated Beta Galactosidase that requires no fixation and pH modification), innovative sequencing approaches (enabling the transcriptome, chromatin accessibility, and methylation data to be isolated from the same single cell), and pioneering computational analyses (interrogation of multi-omic datasets). Combined these data will enable us to characterise the different senescent sub-populations, as well as understand how these diverse functional states are achieved. Integral to the proposal is our focus on maximal distribution of this resource, as such we intend to generate a user-friendly web-based platform for the rapid dissemination of processed data, in addition to sharing all technical and primary data with the community.
As such this resource has the potential to be used widely by the academic research community to quickly test hypotheses based on their own primary data. Furthermore, as targeting senescence pharmacologically has been shown to improve health and life-span in mice, understanding the functional senescence states is essential to develop future targeted agents, with reduced off-target effects. In this regard, this dataset will also be essential for the burgeoning healthy-ageing focused biotech industry.
So how do senescent impinge on these diverse biological processes, across a variety tissues? Surely a senescent liver cell during fibrosis cannot engage the exact same programme as precancerous skin cell, as the functional consequences are widely divergent. To answer this question, our working hypothesis is that senescence cannot be described as one programme, and that different tissue and senescence-inducing contexts are associated with both unique and common functional states. Furthermore, we also posit that senescence in one pathophysiological setting (i.e. fibrosis) is not composed of one senescent population, but a number of sub-populations whose composite together orchestrates the phenotypic outcome. Thus, alterations to the proportions of these sub-populations may result in a pathological disease.
However, currently the majority of senescence data has been developed in vitro, and in a small number of lines (often primary fibroblasts). As such we lack a basic understanding of senescence in vivo, across these diverse states and tissue contexts, and importantly at a resolution that enables us to determine what sub-populations exist.
The aim of this proposal is to generate a high-quality in vivo atlas of these diverse senescent states to act as a catalyst for the research and biotech industry. Our proposal centres around the use of novel tools to isolate senescent cells (a p16-lineage tracing mouse, and a fluorescence dye for Senescence-Associated Beta Galactosidase that requires no fixation and pH modification), innovative sequencing approaches (enabling the transcriptome, chromatin accessibility, and methylation data to be isolated from the same single cell), and pioneering computational analyses (interrogation of multi-omic datasets). Combined these data will enable us to characterise the different senescent sub-populations, as well as understand how these diverse functional states are achieved. Integral to the proposal is our focus on maximal distribution of this resource, as such we intend to generate a user-friendly web-based platform for the rapid dissemination of processed data, in addition to sharing all technical and primary data with the community.
As such this resource has the potential to be used widely by the academic research community to quickly test hypotheses based on their own primary data. Furthermore, as targeting senescence pharmacologically has been shown to improve health and life-span in mice, understanding the functional senescence states is essential to develop future targeted agents, with reduced off-target effects. In this regard, this dataset will also be essential for the burgeoning healthy-ageing focused biotech industry.
Technical Summary
Senescence is functionally implicated in a myriad of pathophysiological settings, including ageing, wound healing and tumour development. Whilst there is a general consensus that this is in part mediated through the acquired senescence-associated secretory phenotype (SASP), much of this work has been performed in vitro, across a limited number of cell lines. We currently have a limited understanding of what constitutes senescence in vivo, in these diverse cellular and pathological settings, and whether the functional programmes underlying senescence contain tissue and context specific features. As such we intend to isolate senescent populations from a number of distinct pathophysiological states using two fluorescent reporters and acquire the transcriptional, DNA methylation status, and nucleosome accessibility information from the same single cell. Fundamentally, our study will test the hypothesis that senescence is not one functional state, but instead is a composite of multiple functional units. Furthermore, we aim to prove that different tissue and pathophysiological contexts are associated with the emergence of unique senescent sub-populations, with functionalities that reflect the biological context. In addition to the cutting-edge single cell multi-omic approaches and novel tools developed by collaborators, we have also ensured this is a community-driven project by forming an advisory board composed of prominent members of the senescence and ageing communities.
Planned Impact
We live in an ageing society, however while average lifespans have increased the average health-span for an individual has not kept apace. As such age-associated disorders and pathologies are becoming an increasing fiscal and social burden on our society. Senescence represents a cellular state that is a key component of organismal ageing and the development of age-associated disorders. Recent evidence in mice suggests that targeting senescence may lead to improvements in age-related disorders and promote healthy ageing. Yet the bulk of our knowledge regarding this state is based on in vitro data, and is relatively poorly understood as an in vivo phenomenon.
As such we have proposed to develop a 'Senescence Atlas' to generate data and methodologies that will have instant impact across a wide-range of research areas and diseases.
Academic Impact: Firstly, basic and translational researchers will benefit from these data, this is exemplified by the wide-range of scientific backgrounds, and respective research questions, that comprise the members of our scientific advisory board. Additionally, we aim to be a highly transparent working group, providing in-depth technical descriptions of senescent cell isolation and data analysis tools for the wider community. Finally, this project will benefit tremendously the post-docs, involving personal development, research-specific training, and ensuring efficient and complete dissemination of information to all stakeholders.
Economic impact: We live in an ageing society and as such the incidence of age-related diseases (for which senescent cells are functionally implicated) are increasing. This has produced a fertile environment wherein biotechnology and pharmaceutical companies are attempting to develop intervention strategies to treat these disorders, however our current knowledge of what to target, with regards to in vivo senescence populations, and how amenable they are to current targeting agents is relatively low. Our data can not only be used to address the former, but will specifically address the latter. As such this has the potential to act as a catalyst for these sectors.
Societal: As mentioned above, our society has an increasing burden of age-related disorders which result in a high cost to society to treat and manage. The combined impact academically and economically has the potential to provide a profound shift in society, by promoting an increased health-span, or healthy aged population.
As such we have proposed to develop a 'Senescence Atlas' to generate data and methodologies that will have instant impact across a wide-range of research areas and diseases.
Academic Impact: Firstly, basic and translational researchers will benefit from these data, this is exemplified by the wide-range of scientific backgrounds, and respective research questions, that comprise the members of our scientific advisory board. Additionally, we aim to be a highly transparent working group, providing in-depth technical descriptions of senescent cell isolation and data analysis tools for the wider community. Finally, this project will benefit tremendously the post-docs, involving personal development, research-specific training, and ensuring efficient and complete dissemination of information to all stakeholders.
Economic impact: We live in an ageing society and as such the incidence of age-related diseases (for which senescent cells are functionally implicated) are increasing. This has produced a fertile environment wherein biotechnology and pharmaceutical companies are attempting to develop intervention strategies to treat these disorders, however our current knowledge of what to target, with regards to in vivo senescence populations, and how amenable they are to current targeting agents is relatively low. Our data can not only be used to address the former, but will specifically address the latter. As such this has the potential to act as a catalyst for these sectors.
Societal: As mentioned above, our society has an increasing burden of age-related disorders which result in a high cost to society to treat and manage. The combined impact academically and economically has the potential to provide a profound shift in society, by promoting an increased health-span, or healthy aged population.
Publications
Cassidy L
(2022)
Autophagy at the intersection of aging, senescence, and cancer.
Cassidy LD
(2022)
Autophagy at the intersection of aging, senescence, and cancer.
in Molecular oncology
Chan ASL
(2024)
Titration of RAS alters senescent state and influences tumour initiation.
in Nature
Collins C
(2024)
Text mining for contexts and relationships in cancer genomics literature.
in Bioinformatics (Oxford, England)
Gan B
(2022)
A Time and Place for Inhibiting Autophagy.
in Cancer research
Gonçalves S
(2021)
COX2 regulates senescence secretome composition and senescence surveillance through PGE2.
in Cell reports
Khayati K
(2022)
Transient Systemic Autophagy Inhibition Is Selectively and Irreversibly Deleterious to Lung Cancer.
in Cancer research
| Description | In non-specialist terms, the phenomenon which we study, senescence, had previously been mostly characterized in cells grown on plastic petri dishes. The aim of this grant, especially given new developments in sequencing (seq) technologies, was essentially to create an 'atlas' of senescent cells from different mouse tissues to better understand the senescence that occurs in the different organs of mammals. Key achievements: A1. Generating scRNA-seq datasets in precancerous mouse livers (oncogene-induced senescence, OIS) (corresponding to Aim 1.1, Aim 2.1, Aim 3). A2. Generating scRNA-seq datasets of stromal/immune components in the OIS livers (Aim 2.1). A3. Generating scRNA-seq and scMulitiomics datasets in various culture senescence cell models (Aim 3). These new datasets and extensive analyses have led to multiple publications [1-3]. For example, we are particularly excited that our study has been published in the journal Nature [2]. This study proposes a new concept, the senescence spectrum, supporting our original hypothesis in this grant application that senescence is not a binary state but consists of diverse sub-populations. In our other study, published in Nature Communications [3]. This study links between senescence subpopulations and their functional identities, again one of the key questions in our original grant application. Those data have been presented at a number of conferences, including AACR 2023. Publications (*corresponding authors): 1. Yin K., et al., Narita M* & Hoare M*. Genes Dev. 2022, 36, 533. doi: 10.1101/gad.349585.122 2. Chan SLA, Zhu H., et al., . Narita M*. Nature. 2024. 633, pp. 678-685. https://doi.org/10.1038/s41586-024-07797-z 3. Olan I., et al., Narita M*. Nat Commun. 2024. 15, Article number: 6891. https://doi.org/10.1038/s41467-024-51153-8. |
| Exploitation Route | Senescence-targeted therapy is not a very popular idea to alleviate age-associated disorders. However, the diversity of senescence is poorly understood. Our single-cell research will provide a proof-of-principle for the urgency of precision senescence-targeted therapy. For example, in some contexts, it might be more beneficial to kill senescence-intermediates rather than fully senescent cells. I envisage that more precise designs for screening senescence modulators will be widely considered. |
| Sectors | Pharmaceuticals and Medical Biotechnology |
| URL | https://doi.org/10.1038/s41586-024-07797-z |
| Title | Aberrant gene expression leakage from linage-specific heterochromatic loci during senescence |
| Description | Expression profiling by high throughput sequencing. Genome binding/occupancy profiling by high throughput sequencing. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | This dataset has increased knowledge of the role the chromatin structure plays in senescence. |
| URL | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE180469 |
| Title | Aberrant gene expression leakage from linage-specific heterochromatic loci during senescence |
| Description | To understand induction of cornification genes on lineage appropriate (keratinocyte differentiation) and inappropriate (fibroblast senescence) conditions, we generated histone modification and gene expression dataset. Then we compared these keratinocyte's dataset with our previous fibroblast senescence dataset in the study. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | This dataset has led to an increase in knowledge on the role chromatin structure & epigenetic marks play in regulating gene expression in senescence. |
| Title | Titration of oncogenic RAS alters senescent state and influences tumour initiation |
| Description | Gating and Sorting Strategy: 1. Immune cell profiling in mouse liver. 2. Predictive reporter system in vitro (RPE1 and TIG3 cells). 3. Isolating mVenus-Expressing Hepatocytes for scRNA-seq. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://springernature.figshare.com/articles/dataset/Titration_of_oncogenic_RAS_alters_senescent_sta... |
| Description | Pro. Wolf Reik |
| Organisation | Babraham Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We collaborate to generate a single-cell atlas for senescent cells in vivo in our mouse models for ageing and tissue damage. |
| Collaborator Contribution | Prof. Wolf Reik is an expert in single-cell multi-omics, which is utilised for this collaboration. His group also provides support for the computational analysis of scRNA-seq. |
| Impact | The primary impact of the project will be to increase knowledge of senescence heterogeneity. This project will be of direct benefit to researchers working in the fields of senescence, cancer and other age-related disorders. |
| Start Year | 2020 |
| Description | Professor Yasuyuki Ohkawa |
| Organisation | Kyushu University |
| Country | Japan |
| Sector | Academic/University |
| PI Contribution | The Narita lab showed the first functional relevance for autophagy in senescence in culture. Now the lab has generated a highly unique autophagy mouse model, Atg5i (Autophagy, 2018), which will be utilised in this proposal. |
| Collaborator Contribution | Low-throughput manual single-cell Chromatin Integration & Labelling (scChIL) has been successfully developed by the Ohkawa/Kimura team. Also, the Ohkawa lab has constant access to 26 months old mice (1-17M old mice are commercially available in Japan). |
| Impact | The primary impact of the project will be to increase knowledge of the genetic and epigenetic alterations that occur during ageing and age-reversal. This project will be of direct benefit to researchers working in the fields of ageing and age-related disorders as well as epigenetics. Since our mouse model uses autophagy perturbation, this will also be benefit to researchers in the field of autophagy. We will utilise microfluidics to develop high throughput epigenomic techniques, which will also inspire microfluidics and microgel researchers. |
| Start Year | 2018 |
