Kavita Krishnan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Kavita Krishnan has a total of 112 co-authors. Here are the top co-authors by number of shared publications:
- Jennifer H. Elisseeff
Translational Tissue Engineering Center Wilmer Eye Institute and Department of Biomedical Engineering Johns Hopkins University Baltimore Maryland USA
9 shared publications - Elana Judith Fertig
Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
5 shared publications - Joscelyn C. Mejias
Translational Tissue Engineering Center, Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, United States
5 shared publications - Alexandra N. Rindone
Translational Therapeutics & Regenerative Engineering Center, Department of Chemical and Biomolecular Engineering and Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
4 shared publications Anna Ruta
Translational Tissue Engineering Center, Department of Chemical and Biomolecular Engineering and Biomedical Engineering, Johns Hopkins Whiting School of Engineering, Baltimore, MD, USA
4 shared publications- Anna Ruta
Translational Tissue Engineering Center, Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, United States
4 shared publications
Latest Publications
- Open Access
SENgEAR: an interactive visualization platform for comparative analysis of senescence signatures and cellular communication
Single-cell and spatial transcriptomic datasets provide tremendous potential to identify the cellular states and communication networks associated with senescence. Annotating senescent cells in these datasets is hindered by the lack of universal markers for senescent cells and their context-dependent variability. To overcome this, several groups have developed gene signatures to annotate cells with distinct senotypes. However, comparing these signatures and their biological contexts to determine the specificity of senescence signatures remains complicated by the separate data platforms for signatures and datasets. We present SENgEAR, a no-code web platform for senescent cell annotation, visualization of cell-cell communication networks, and comparison of senescence signatures across studies, tissues, species, and data modalities. SENgEAR provides a unified framework to explore contextual signature specificity, cellular communication pathways, and senotype heterogeneity. We demonstrate the use of SENgEAR for applications spanning aging, fibrosis, and wound healing and its ability to interrelate these states.
Open AccessSENgEAR: an interactive visualization platform for comparative analysis of senescence signatures and cellular communication
Single-cell and spatial transcriptomic datasets provide tremendous potential to identify the cellular states and communication networks associated with senescence. Annotating senescent cells in these datasets is hindered by the lack of universal markers for senescent cells and their context-dependent variability. To overcome this, several groups have developed gene signatures to annotate cells with distinct senotypes. However, comparing these signatures and their biological contexts to determine the specificity of senescence signatures remains complicated by the separate data platforms for signatures and datasets. We present SENgEAR, a no-code web platform for senescent cell annotation, visualization of cell-cell communication networks, and comparison of senescence signatures across studies, tissues, species, and data modalities. SENgEAR provides a unified framework to explore contextual signature specificity, cellular communication pathways, and senotype heterogeneity. We demonstrate the use of SENgEAR for applications spanning aging, fibrosis, and wound healing and its ability to interrelate these states.
- Open Access
Age and sex alter the immune response in a chronic fibrosis model via changes in T cell and macrophage phenotype
The foreign body response (FBR) is an immune mediated event that occurs with every material implant. The extent of the fibrosis is dependent on many factors including the biomaterial design, tissue location, and host factors such as age, sex, ancestry, diet. There are known clinical outcomes of implants dependent on age and sex, including increased fibrosis and implant failure in aged and female patients. As the population ages, there is a growing need to understand how aging affects the FBR, and how preclinical models can capture this to guide biomaterial design. Here, we investigated how chronic fibrosis in a murine model of the FBR is altered by two biological factors: age and sex. We investigated changes in fibrosis using a volumetric muscle loss (VML) injury model coupled with polycaprolactone (PCL) or polyethylene (PE) microparticle implants. Fibrosis was quantified through gene expression, microscopic analysis of histologic sections, and the corresponding immune response measured via gene expression and flow cytometry data. We found gene expression differences with immune pathways enriched in female mice, and microscopy revealed collagen birefringence area increased in young male mice. Both the innate and adaptive immune response were altered by age and sex via T cell and macrophage phenotype, and the effects of aging differed between sexes. These results reveal both variables contribute to discrepant outcomes in both fibrosis and the local immune response to synthetic material implants. This demonstrates a clear need to understand and account for the influence of biological factors in biomaterial design.
Open AccessAge and sex alter the immune response in a chronic fibrosis model via changes in T cell and macrophage phenotype
The foreign body response (FBR) is an immune mediated event that occurs with every material implant. The extent of the fibrosis is dependent on many factors including the biomaterial design, tissue location, and host factors such as age, sex, ancestry, diet. There are known clinical outcomes of implants dependent on age and sex, including increased fibrosis and implant failure in aged and female patients. As the population ages, there is a growing need to understand how aging affects the FBR, and how preclinical models can capture this to guide biomaterial design. Here, we investigated how chronic fibrosis in a murine model of the FBR is altered by two biological factors: age and sex. We investigated changes in fibrosis using a volumetric muscle loss (VML) injury model coupled with polycaprolactone (PCL) or polyethylene (PE) microparticle implants. Fibrosis was quantified through gene expression, microscopic analysis of histologic sections, and the corresponding immune response measured via gene expression and flow cytometry data. We found gene expression differences with immune pathways enriched in female mice, and microscopy revealed collagen birefringence area increased in young male mice. Both the innate and adaptive immune response were altered by age and sex via T cell and macrophage phenotype, and the effects of aging differed between sexes. These results reveal both variables contribute to discrepant outcomes in both fibrosis and the local immune response to synthetic material implants. This demonstrates a clear need to understand and account for the influence of biological factors in biomaterial design.
- Open Access
Senescent cell networks link matrix remodeling and vascular dysfunction in human fibroids
Uterine fibroids (leiomyomas) are highly prevalent benign tumors defined by excessive extracellular matrix (ECM) deposition, altered vascular structure, and progressive tissue stiffening, yet the cellular programs that coordinate these features remain poorly understood. Cellular senescence has been implicated in fibroid biology, but whether senescence represents a uniform state or distinct, functionally specialized cell identities within fibroids is unknown. Here, we identify the distinct heterogeneous populations of senescent cells (“senotypes”) present in human fibroids and characterize their role in shaping the fibroid microenvironment. Using single-cell RNA sequencing (scRNA-seq) integrated with a senescence gene signature and protein-level validation, we identify senescent cells (SnC) distributed across fibroblast, mural, and endothelial compartments, each exhibiting distinct transcriptional programs. SnC endothelial cells (ECs) are enriched in fibroids relative to matched myometrium and activate TEAD4 -associated mechanosensing, angiogenic, and immune signaling pathways, despite being associated with impaired vessel maturation in situ . In parallel, SnC fibroblast and mural populations in fibroids upregulated SRF-associated cytoskeletal and ECM programs, accompanied by increased COL6A3 expression and collagen VI deposition, consistent with tissue stiffening. Ligand–receptor and spatial analyses reveal that these SnC populations function as interconnected signaling hubs, coordinating immune cell recruitment and stromal remodeling. Importantly, analysis of human fibroids treated with collagenase demonstrated a reduction in both ECM density and SnC burden, supporting a reinforcing relationship between matrix mechanics and senescence. Together, these findings establish senescence in fibroids as a heterogeneous, mechanically reinforced, and network-driven process that links vascular dysfunction, immune signaling, and fibrosis, highlighting distinct SnC states as potential translational targets for non-surgical therapies.
Open AccessSenescent cell networks link matrix remodeling and vascular dysfunction in human fibroids
Uterine fibroids (leiomyomas) are highly prevalent benign tumors defined by excessive extracellular matrix (ECM) deposition, altered vascular structure, and progressive tissue stiffening, yet the cellular programs that coordinate these features remain poorly understood. Cellular senescence has been implicated in fibroid biology, but whether senescence represents a uniform state or distinct, functionally specialized cell identities within fibroids is unknown. Here, we identify the distinct heterogeneous populations of senescent cells (“senotypes”) present in human fibroids and characterize their role in shaping the fibroid microenvironment. Using single-cell RNA sequencing (scRNA-seq) integrated with a senescence gene signature and protein-level validation, we identify senescent cells (SnC) distributed across fibroblast, mural, and endothelial compartments, each exhibiting distinct transcriptional programs. SnC endothelial cells (ECs) are enriched in fibroids relative to matched myometrium and activate TEAD4 -associated mechanosensing, angiogenic, and immune signaling pathways, despite being associated with impaired vessel maturation in situ . In parallel, SnC fibroblast and mural populations in fibroids upregulated SRF-associated cytoskeletal and ECM programs, accompanied by increased COL6A3 expression and collagen VI deposition, consistent with tissue stiffening. Ligand–receptor and spatial analyses reveal that these SnC populations function as interconnected signaling hubs, coordinating immune cell recruitment and stromal remodeling. Importantly, analysis of human fibroids treated with collagenase demonstrated a reduction in both ECM density and SnC burden, supporting a reinforcing relationship between matrix mechanics and senescence. Together, these findings establish senescence in fibroids as a heterogeneous, mechanically reinforced, and network-driven process that links vascular dysfunction, immune signaling, and fibrosis, highlighting distinct SnC states as potential translational targets for non-surgical therapies.
- Open Access
Distinct fibroblast and perivascular senotypes define spatial niches that regulate fibrosis
Fibrotic conditions contribute to significant global morbidity and mortality. Yet the underlying processes that orchestrate fibrosis remain poorly understood due to the cellular and spatial complexity of the stromal, immune, and vascular compartments that regulate fibrotic disease progression. Senescent cells (SnCs) have been implicated in fibrosis, but their roles are unclear, as evidence indicates that they serve both pathogenic and reparative functions. Here, we show that fibrosis-associated SnCs contain functionally divergent senotypes that are organized into distinct spatial niches. Using integrated single-cell and spatial transcriptomics analyses and hierarchical factorization in a murine fibrosis model, we identify fibroblast and perivascular SnC subpopulations that upregulate diverse programs related to extracellular matrix (ECM) production, immune signaling, and vascular remodeling. Fibroblast senotypes localize to discrete microenvironments with distinct tissue architectures, including niches associated with fibrotic signaling, immune activity, and cartilage development. Perivascular SnCs occupy interfaces between fibrotic signaling and immune-active niches and upregulate vascular and fibrotic remodeling pathways. Depletion of pericyte-lineage SnCs increases vascular maturation and fibrotic ECM deposition, providing mechanistic validation of the beneficial role these SnCs play in vascular remodeling and fibrosis modulation. In addition, using a new web-based infrastructure to query our senotype gene signatures in public datasets, we demonstrate that these senotypes are conserved across different murine and human fibrotic conditions. These findings establish senescence as a spatially organized regulator of fibrosis and identify perivascular senescence as a link between vascular remodeling and fibrotic outcomes.
Open AccessDistinct fibroblast and perivascular senotypes define spatial niches that regulate fibrosis
Fibrotic conditions contribute to significant global morbidity and mortality. Yet the underlying processes that orchestrate fibrosis remain poorly understood due to the cellular and spatial complexity of the stromal, immune, and vascular compartments that regulate fibrotic disease progression. Senescent cells (SnCs) have been implicated in fibrosis, but their roles are unclear, as evidence indicates that they serve both pathogenic and reparative functions. Here, we show that fibrosis-associated SnCs contain functionally divergent senotypes that are organized into distinct spatial niches. Using integrated single-cell and spatial transcriptomics analyses and hierarchical factorization in a murine fibrosis model, we identify fibroblast and perivascular SnC subpopulations that upregulate diverse programs related to extracellular matrix (ECM) production, immune signaling, and vascular remodeling. Fibroblast senotypes localize to discrete microenvironments with distinct tissue architectures, including niches associated with fibrotic signaling, immune activity, and cartilage development. Perivascular SnCs occupy interfaces between fibrotic signaling and immune-active niches and upregulate vascular and fibrotic remodeling pathways. Depletion of pericyte-lineage SnCs increases vascular maturation and fibrotic ECM deposition, providing mechanistic validation of the beneficial role these SnCs play in vascular remodeling and fibrosis modulation. In addition, using a new web-based infrastructure to query our senotype gene signatures in public datasets, we demonstrate that these senotypes are conserved across different murine and human fibrotic conditions. These findings establish senescence as a spatially organized regulator of fibrosis and identify perivascular senescence as a link between vascular remodeling and fibrotic outcomes.
- Open Access
Tissue Injury and Biomaterial Treatment Modulate Tumor Growth and Response to Immunotherapy
Immunotherapies have transformed cancer care; however, tumor intrinsic and extrinsic factors contribute to high variability in therapeutic responses. While tissue injuries can impact cancer recurrence and metastatic spread, little is known about their potential to effect immune checkpoint blockade (ICB) response. In this study, we reveal that distal traumatic muscle injury accelerated progression and impaired adjuvant ICB response of multiple murine tumors. This injury-induced accelerated tumor growth coincided with decreased intra-tumoral density and effector phenotype of tumor-reactive CD8 + T cells and relied on communication through a shared draining lymph node. Enhancing injury repair using a biological scaffold abrogated the injury-induced accelerated tumor growth in an interleukin-4-dependent manner and improved ICB response. In a retrospective cohort analysis of breast cancer patients undergoing ICB treatment, biological scaffold implantation following mastectomy was associated with increased overall survival. This work suggests that injury-driven immune dysfunction may contribute to cancer progression and ICB resistance, but enhancing wound healing with pro-regenerative biomaterials may offer a viable strategy for mitigating adverse cancer outcomes, particularly in the setting of adjuvant and neoadjuvant ICB.
Open AccessTissue Injury and Biomaterial Treatment Modulate Tumor Growth and Response to Immunotherapy
Immunotherapies have transformed cancer care; however, tumor intrinsic and extrinsic factors contribute to high variability in therapeutic responses. While tissue injuries can impact cancer recurrence and metastatic spread, little is known about their potential to effect immune checkpoint blockade (ICB) response. In this study, we reveal that distal traumatic muscle injury accelerated progression and impaired adjuvant ICB response of multiple murine tumors. This injury-induced accelerated tumor growth coincided with decreased intra-tumoral density and effector phenotype of tumor-reactive CD8 + T cells and relied on communication through a shared draining lymph node. Enhancing injury repair using a biological scaffold abrogated the injury-induced accelerated tumor growth in an interleukin-4-dependent manner and improved ICB response. In a retrospective cohort analysis of breast cancer patients undergoing ICB treatment, biological scaffold implantation following mastectomy was associated with increased overall survival. This work suggests that injury-driven immune dysfunction may contribute to cancer progression and ICB resistance, but enhancing wound healing with pro-regenerative biomaterials may offer a viable strategy for mitigating adverse cancer outcomes, particularly in the setting of adjuvant and neoadjuvant ICB.
- Open Access
Regulatory T cells clonally expand and contribute to stromal cell function in fibrotic response to synthetic implants
Fibrosis plays a key role in both chronic disease progression and failure of synthetic biomaterial implants. However, the contribution of adaptive immunity to fibrotic development remains incompletely understood, particularly for regulatory T cells (Tregs). Here, we used single-cell multiomic profiling, integrating transcriptomics with T cell receptor (TCR) sequencing, to map Treg heterogeneity and clonal dynamics in a synthetic material-induced model of fibrosis. We uncovered progressive Treg clonal expansion accompanied by TCR activation signatures and an increasingly immunosuppressive phenotype along a continuous transcriptional trajectory. These Tregs suppressed immune responses and influenced extracellular matrix and vascular gene expression. Cell-cell communication inference predicted Treg-driven activation of pro-fibrotic and vasculogenic transcriptional programs in fibroblasts and endothelial cells, including Sox-family transcription factors. Functional Treg depletion increased inflammation and significantly reduced neovascularization. Together, these findings identify Treg functions in the fibro-vascular niche through stromal cell modulation, highlighting immune-stromal interactions as an important axis in fibrosis.
Open AccessRegulatory T cells clonally expand and contribute to stromal cell function in fibrotic response to synthetic implants
Fibrosis plays a key role in both chronic disease progression and failure of synthetic biomaterial implants. However, the contribution of adaptive immunity to fibrotic development remains incompletely understood, particularly for regulatory T cells (Tregs). Here, we used single-cell multiomic profiling, integrating transcriptomics with T cell receptor (TCR) sequencing, to map Treg heterogeneity and clonal dynamics in a synthetic material-induced model of fibrosis. We uncovered progressive Treg clonal expansion accompanied by TCR activation signatures and an increasingly immunosuppressive phenotype along a continuous transcriptional trajectory. These Tregs suppressed immune responses and influenced extracellular matrix and vascular gene expression. Cell-cell communication inference predicted Treg-driven activation of pro-fibrotic and vasculogenic transcriptional programs in fibroblasts and endothelial cells, including Sox-family transcription factors. Functional Treg depletion increased inflammation and significantly reduced neovascularization. Together, these findings identify Treg functions in the fibro-vascular niche through stromal cell modulation, highlighting immune-stromal interactions as an important axis in fibrosis.
- Open Access
- 12 May 2025
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 122 (20)
Murine gut microbiota dysbiosis via enteric infection modulates the foreign body response to a distal biomaterial implant
The gut microbiota influences systemic immunity and the function of distal tissues, including the brain, liver, skin, lung, and muscle. However, the role of the gut microbiota in the foreign body response and fibrosis is largely unexplored. To investigate this connection, we perturbed the homeostasis of the murine gut microbiota via infection with the pathogenic bacterial species enterotoxigenic Bacteroides fragilis (ETBF) and implanted particulate material (mean particle size <600 μm) of the synthetic polymer polycaprolactone (PCL) into a distal muscle injury. ETBF infection in mice led to increased neutrophil and γδ T cell infiltration into the PCL implant site. ETBF infection alone promoted systemic inflammation, increased levels of neutrophils in lymphoid tissues, and altered skeletal muscle gene expression. At the PCL implant site, we found significant changes in the transcriptome of sorted stromal cells between infected and control mice, including differences related to ECM components such as proteoglycans and glycosaminoglycans. However, we did not observe ETBF-induced differences in fibrosis levels. These results demonstrate the ability of the gut microbiota to mediate long-distance effects such as immune and stromal responses to a distal biomaterial implant.
- 12 May 2025
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 122 (20)
Open AccessMurine gut microbiota dysbiosis via enteric infection modulates the foreign body response to a distal biomaterial implant
The gut microbiota influences systemic immunity and the function of distal tissues, including the brain, liver, skin, lung, and muscle. However, the role of the gut microbiota in the foreign body response and fibrosis is largely unexplored. To investigate this connection, we perturbed the homeostasis of the murine gut microbiota via infection with the pathogenic bacterial species enterotoxigenic Bacteroides fragilis (ETBF) and implanted particulate material (mean particle size <600 μm) of the synthetic polymer polycaprolactone (PCL) into a distal muscle injury. ETBF infection in mice led to increased neutrophil and γδ T cell infiltration into the PCL implant site. ETBF infection alone promoted systemic inflammation, increased levels of neutrophils in lymphoid tissues, and altered skeletal muscle gene expression. At the PCL implant site, we found significant changes in the transcriptome of sorted stromal cells between infected and control mice, including differences related to ECM components such as proteoglycans and glycosaminoglycans. However, we did not observe ETBF-induced differences in fibrosis levels. These results demonstrate the ability of the gut microbiota to mediate long-distance effects such as immune and stromal responses to a distal biomaterial implant.
- 19 December 2023
- Published by Springer Nature in Nature Reviews Bioengineering
- Vol. 2 (2) , 101-119
Single-cell transcriptomics in tissue engineering and regenerative medicine
- 19 December 2023
- Published by Springer Nature in Nature Reviews Bioengineering
- Vol. 2 (2) , 101-119
Single-cell transcriptomics in tissue engineering and regenerative medicine
- Open Access
- 13 February 2023
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 120 (8)
Helminth egg derivatives as proregenerative immunotherapies
The immune system is increasingly recognized as an important regulator of tissue repair. We developed a regenerative immunotherapy from the helminth Schistosoma mansoni soluble egg antigen (SEA) to stimulate production of interleukin (IL)-4 and other type 2-associated cytokines without negative infection-related sequelae. The regenerative SEA (rSEA) applied to a murine muscle injury induced accumulation of IL-4-expressing T helper cells, eosinophils, and regulatory T cells and decreased expression of IL-17A in gamma delta (γδ) T cells, resulting in improved repair and decreased fibrosis. Encapsulation and controlled release of rSEA in a hydrogel further enhanced type 2 immunity and larger volumes of tissue repair. The broad regenerative capacity of rSEA was validated in articular joint and corneal injury models. These results introduce a regenerative immunotherapy approach using natural helminth derivatives.
- 13 February 2023
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 120 (8)
Open AccessHelminth egg derivatives as proregenerative immunotherapies
The immune system is increasingly recognized as an important regulator of tissue repair. We developed a regenerative immunotherapy from the helminth Schistosoma mansoni soluble egg antigen (SEA) to stimulate production of interleukin (IL)-4 and other type 2-associated cytokines without negative infection-related sequelae. The regenerative SEA (rSEA) applied to a murine muscle injury induced accumulation of IL-4-expressing T helper cells, eosinophils, and regulatory T cells and decreased expression of IL-17A in gamma delta (γδ) T cells, resulting in improved repair and decreased fibrosis. Encapsulation and controlled release of rSEA in a hydrogel further enhanced type 2 immunity and larger volumes of tissue repair. The broad regenerative capacity of rSEA was validated in articular joint and corneal injury models. These results introduce a regenerative immunotherapy approach using natural helminth derivatives.
- Open Access
Transfer learning of an in vivo- derived senescence signature identifies conserved and tissue-specific senescence across species and diverse pathologies
Senescent cells (SnCs) contribute to normal tissue development and repair but accumulate with aging where they are implicated in a number of pathologies and diseases. Despite their pathological role and therapeutic interest, SnC phenotype and function in vivo remains unclear due to the challenges in identifying and isolating these rare cells. Here, we developed an in vivo -derived senescence gene expression signature using a model of the foreign body response (FBR) fibrosis in a p16 Ink4a - reporter mouse, a cell cycle inhibitor commonly used to identify SnCs. We identified stromal cells (CD45 - CD31 - CD29 + ) as the primary p16 Ink4a expressing cell type in the FBR and collected the cells to produce a SnC transcriptomic signature with bulk RNA sequencing. To computationally identify SnCs in bulk and single-cell data sets across species and tissues, we used this signature with transfer learning to generate a SnC signature score (SenSig). We found senescent pericyte and cartilage-like fibroblasts in newly collected single cell RNAseq (scRNASeq) data sets of murine and human FBR suggesting populations associated with angiogenesis and secretion of fibrotic extracellular matrix, respectively. Application of the senescence signature to human scRNAseq data sets from idiopathic pulmonary fibrosis (IPF) and the basal cell carcinoma microenvironment identified both conserved and tissue-specific SnC phenotypes, including epithelial-derived basaloid and endothelial cells. In a wound healing model, ligand-receptor signaling prediction identified putative interactions between SnC SASP and myeloid cells that were validated by immunofluorescent staining and in vitro coculture of SnCs and macrophages. Collectively, we have found that our SenSig transfer learning strategy from an in vivo signature outperforms in vitro -derived signatures and identifies conserved and tissue-specific SnCs and their SASP, independent of p16 Ink4a expression, and may be broadly applied to elucidate SnC identity and function in vivo .
Open AccessTransfer learning of an in vivo- derived senescence signature identifies conserved and tissue-specific senescence across species and diverse pathologies
Senescent cells (SnCs) contribute to normal tissue development and repair but accumulate with aging where they are implicated in a number of pathologies and diseases. Despite their pathological role and therapeutic interest, SnC phenotype and function in vivo remains unclear due to the challenges in identifying and isolating these rare cells. Here, we developed an in vivo -derived senescence gene expression signature using a model of the foreign body response (FBR) fibrosis in a p16 Ink4a - reporter mouse, a cell cycle inhibitor commonly used to identify SnCs. We identified stromal cells (CD45 - CD31 - CD29 + ) as the primary p16 Ink4a expressing cell type in the FBR and collected the cells to produce a SnC transcriptomic signature with bulk RNA sequencing. To computationally identify SnCs in bulk and single-cell data sets across species and tissues, we used this signature with transfer learning to generate a SnC signature score (SenSig). We found senescent pericyte and cartilage-like fibroblasts in newly collected single cell RNAseq (scRNASeq) data sets of murine and human FBR suggesting populations associated with angiogenesis and secretion of fibrotic extracellular matrix, respectively. Application of the senescence signature to human scRNAseq data sets from idiopathic pulmonary fibrosis (IPF) and the basal cell carcinoma microenvironment identified both conserved and tissue-specific SnC phenotypes, including epithelial-derived basaloid and endothelial cells. In a wound healing model, ligand-receptor signaling prediction identified putative interactions between SnC SASP and myeloid cells that were validated by immunofluorescent staining and in vitro coculture of SnCs and macrophages. Collectively, we have found that our SenSig transfer learning strategy from an in vivo signature outperforms in vitro -derived signatures and identifies conserved and tissue-specific SnCs and their SASP, independent of p16 Ink4a expression, and may be broadly applied to elucidate SnC identity and function in vivo .