The DOI matches its Crossref record; 108 of the 110 references it cites were found in a registry or an index; 66 of the 81 sources its claims cite were checked for support.
Spatial mapping of cellular senescence: emerging challenges and opportunities
Open accessAbstract
Cellular senescence is a well-established driver of aging and age-related diseases. There are many challenges to mapping senescent cells in tissues such as the absence of specific markers and their relatively low abundance and vast heterogeneity. Single-cell technologies have allowed unprecedented characterization of senescence; however, many methodologies fail to provide spatial insights. The spatial component is essential, as senescent cells communicate with neighboring cells, impacting their function and the composition of extracellular space. The Cellular Senescence Network (SenNet), a National Institutes of Health (NIH) Common Fund initiative, aims to map senescent cells across the lifespan of humans and mice. Here, we provide a comprehensive review of the existing and emerging methodologies for spatial imaging and their application toward mapping senescent cells. Moreover, we discuss the limitations and challenges inherent to each technology. We argue that the development of spatially resolved methods is essential toward the goal of attaining an atlas of senescent cells.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This review from the SenNet imaging working group argues that mapping senescent cells in tissues requires spatially resolved, multi-marker approaches because no single marker is specific and senescent cells are rare and heterogeneous. It surveys low-plex to high-plex imaging, spatial transcriptomics, image analysis, and deep learning, emphasizing limitations and opportunities toward a senescence atlas.
Key findings
- Senescent cells lack a stand-alone specific marker; commonly used markers such as SA-β-Gal, p16INK4a, and p21CIP1 can appear in non-senescent contexts, so the field favors multi-marker detection. Senescent cells may be present below 5% in aged tissues, making rare-cell detection difficult.
- Spatial context is essential because senescent cells communicate with neighbors through the SASP, influencing immune recruitment, proliferation, angiogenesis, inflammation, epithelial-to-mesenchymal transition, tissue repair, and wound healing.
- High-plex spatial proteomics can measure roughly 10–60 proteins with tagged antibodies, barcoded platforms may exceed 100 targets, and mass-spectrometry platforms can use up to 40 metal-conjugated antibodies; however, platforms differ in resolution, throughput, tissue area, antibody validation needs, and whether they destroy the sample.
- Spatial transcriptomics spans targeted FISH-based methods with hundreds of genes (for example, Xenium panels of 300–400 genes plus up to 100 custom probes), unbiased Visium with spots around 50 μm and 100 μm spacing over a 6.5 × 6.5 mm area (version 2: 11 × 11 mm), and ultra-high-resolution methods such as Seq-Scope, Stereo-seq, and PIXEL-seq reaching up to about 23 unique transcripts per μm². Deep learning applied to H&E and DAPI images predicted senescence; breast tissue from 67 healthy individuals scored 460,000 nuclei, and skin biopsies from more than 160 individuals showed predicted dermal senescence increasing with age.
Methods
- Narrative review by the SenNet imaging mapping working group, synthesizing existing and emerging spatial imaging, spatial omics, image-analysis, and deep-learning methods for detecting senescent cells.
- No primary experimental cohort or new data are reported; the work draws on cited literature and consortium examples, with tables comparing platforms and figures illustrating workflows.
- The main analysis is a qualitative comparison of technologies by plex level, resolution, throughput, tissue compatibility, and suitability for rare senescent cells.
Limitations
- Stated: no universal senescence marker exists; markers are nonspecific; senescent cells are rare (below 5% in aged tissues) and heterogeneous; antibody validation is problematic, especially for mouse p16INK4a; platform constraints include limited tissue area, low throughput, long acquisition, cost, autofluorescence, fixation effects, destructive mass imaging, and inability to resolve single cells for some methods.
- Stated: computational challenges include segmentation errors, deconvolution difficulty distinguishing senescent from non-senescent cells within a cell type, lack of annotated reference scRNA-seq datasets, and unknown benchmark performance for senescent-cell deconvolution.
- Evident from the text: as a review, it provides no new experimental validation or systematic benchmarking; many proposed integrations and deep-learning pipelines are described as future or in-progress rather than fully validated.
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Claims the paper makes
34 Own interpretation · 27 No basis given · 22 Supported · 14 Partly supported · 5 No full text of the sources · 4 Supported so far · 1 Not supported · accuracy not yet measured
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“One major challenge is that there is no single, stand-alone marker to identify a senescent cell.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Abstract
What the sources say
- Not checked — no full text of the sourcecites [6] Severino, J., Allen, R. G., Balin, S., Balin, A. & Cristofalo, V. J. Is β-galactosidase staining a marker of senescence in vitro and in vivo? Exp. Cell Res. 257, 162–171 (2000). source
- Supportedcites [7] Hall, B. M. et al. Aging of mice is associated with p16Ink4a- and β-galactosidase-positive macrophage accumulation that can be induced in young mice by senescent cells. Aging 8, 1294–1315 (2016). source
The Introduction states that attempts to find specific, common biomarkers of senescence have identified several properties, but none is a universal hallmark of senescent cells. This directly supports the claim that no single marker can identify a senescent cell on its own. (LLM, conf=0.94)
- Not checked — no full text of the sourcecites [8] Ogrodnik, M., Salmonowicz, H., Jurk, D. & Passos, J. F. Expansion and cell-cycle arrest: common denominators of cellular senescence. Trends Biochem. Sci. 44, 996–1008 (2019). source
plain- Asserted: passes — The authors put it forward as true.
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Every source the paper cites for this claim was checked and supports it.
In the paper
“Several studies have used single-cell technologies to successfully identify senescence-associated signatures in the context of aging12,13.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Abstract
What the sources say
- Supportedcites [12] Zhang, X. et al. Characterization of cellular senescence in aging skeletal muscle. Nat. Aging 2, 601–615 (2022). source
The Introduction says the authors used single-cell RNA sequencing to identify cell types with a senescence-associated signature in young and old skeletal muscle. The Discussion reports that this approach identified a distinct subset of fibroadipogenic progenitors in old mice with senescence-associated features. This paper therefore supports its use as one example among the cited studies. (LLM, conf=0.93)
- Supportedcites [13] Ogrodnik, M. et al. Whole-body senescent cell clearance alleviates age-related brain inflammation and cognitive impairment in mice. Aging Cell 20, e13296 (2021). source
The Results section (‘Senescent cells accumulate in the brain during aging’) reports using single-cell and single-nucleus RNA sequencing to compare young and old mouse hippocampi. Figure 1 identifies p16-positive cells and senescence-associated secretory phenotype gene expression, supporting this paper as an example of the cited studies. (LLM, conf=0.92)
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“For example, the commonly used marker senescence-associated β-galactosidase (SA-β-Gal) at pH 6 can be detected in vitro in confluent and immortalized cells6 and in activated macrophages7, while cell cycle kinase inhibitors p16INK4a and p21CIP1 can be expressed irrespectively of senescence in certain contexts7,8.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Abstract
What the sources say
- Partly supportedcites [7] Hall, B. M. et al. Aging of mice is associated with p16Ink4a- and β-galactosidase-positive macrophage accumulation that can be induced in young mice by senescent cells. Aging 8, 1294–1315 (2016). sourceExperimental — accuracy not yet measured
The Discussion (page unavailable) reports p16INK4a expression in non-senescent macrophages, supporting the claim for p16INK4a. The Introduction lists p21 as a senescence-associated marker but does not establish that it can be expressed independently of senescence, so that part is not supported by this paper. (LLM, conf=0.88)
- Not checked — no full text of the sourcecites [8] Ogrodnik, M., Salmonowicz, H., Jurk, D. & Passos, J. F. Expansion and cell-cycle arrest: common denominators of cellular senescence. Trends Biochem. Sci. 44, 996–1008 (2019). source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Importantly, several studies have shown that elimination of senescent cells in mice either genetically or by using drugs that can kill senescent cells (senolytics) alleviates several pathologies during aging and age-related disorders2.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Abstract
What the sources say
- Supportedcites [2] Robbins, P. D. et al. Senolytic drugs: reducing senescent cell viability to extend health span. Annu. Rev. Pharmacol. Toxicol. 61, 779–803 (2021). source
The Introduction’s “Cellular Senescence” section reports that genetic ablation of senescent cells in mice suppresses age-related disease and improves several pathologies. Its “Senotherapeutics” section reports that senolytic drugs improve multiple age-related conditions in mice. Together, these passages support the claim. (LLM, conf=0.94)
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“None of the markers used to detect senescent cells are individually specific.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Abstract
What the sources say
- Not checked — no full text of the sourcecites [6] Severino, J., Allen, R. G., Balin, S., Balin, A. & Cristofalo, V. J. Is β-galactosidase staining a marker of senescence in vitro and in vivo? Exp. Cell Res. 257, 162–171 (2000). source
- Supportedcites [7] Hall, B. M. et al. Aging of mice is associated with p16Ink4a- and β-galactosidase-positive macrophage accumulation that can be induced in young mice by senescent cells. Aging 8, 1294–1315 (2016). source
The Introduction states that no identified biomarker is a universal hallmark of senescent cells, listing p16, β-galactosidase activity, SASP, and others. It also reports that macrophages can display two typical senescence markers, reinforcing that those markers alone do not specifically identify senescent cells. No page number is available in our copy. (LLM, conf=0.90)
- Not checked — no full text of the sourcecites [8] Ogrodnik, M., Salmonowicz, H., Jurk, D. & Passos, J. F. Expansion and cell-cycle arrest: common denominators of cellular senescence. Trends Biochem. Sci. 44, 996–1008 (2019). source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Every source the paper cites for this claim was checked and supports it.
In the paper
“Another major challenge in detecting senescent cells is that these cells are thought to be relatively rare, with some estimates indicating that they can be present below 5% in aged tissues9.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Abstract
What the sources say
- Supportedcites [9] Biran, A. et al. Quantitative identification of senescent cells in aging and disease. Aging Cell 16, 661–671 (2017). source
In Results, ‘Quantification of senescent cells during aging’ (page not provided), the paper reports senescent-cell percentages below 5% in the spleen, small intestine, and lymph nodes of old mice. It also reports higher percentages in other aged tissues, consistent with the claim’s qualified wording, ‘can be present below 5%.’ (LLM, conf=0.92)
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Another histochemical assay to detect senescent cells in tissues is the detection of lipofuscin using dyes such as Sudan Black B or analogs21.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
What the sources say
- Supportedcites [21] Georgakopoulou, E. A. et al. Specific lipofuscin staining as a novel biomarker to detect replicative and stress-induced senescence. A method applicable in cryo-preserved and archival tissues. Aging 5, 37–50 (2013). source
The Introduction identifies Sudan Black B as a histochemical stain for lipofuscin, and the Discussion reports that SBB staining can depict senescent cells in tissue sections. The Discussion also lists other histochemical dyes used to detect lipofuscin. No page numbers are provided in our copy. (LLM, conf=0.93)
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“RNA-ISH has also been used to visualize single RNA molecules encoding senescence-associated markers (for example, p16INK4A, p21CIP1 and specific SASP components) in different tissues13,16,31.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
What the sources say
- Supportedcites [13] Ogrodnik, M. et al. Whole-body senescent cell clearance alleviates age-related brain inflammation and cognitive impairment in mice. Aging Cell 20, e13296 (2021). source
The Methods (RNA-ISH; page unavailable) describe RNAscope probes for p16, p21, IL-1α and MCP-1 and quantify their RNA foci. The Results show this use of RNA-ISH in mouse hippocampal tissue, supporting the paper as an example of the cited technique. (LLM, conf=0.91)
- Partly supportedcites [16] Lagnado, A. et al. Neutrophils induce paracrine telomere dysfunction and senescence in ROS-dependent manner. EMBO J. 40, e106048 (2021). sourceExperimental — accuracy not yet measured
The Materials and Methods section (page unavailable) describes RNA-ISH on paraffin tissue sections using probes for p16, Cxcl1 and Il1-α, supporting the method and several marker examples. It does not describe RNA-ISH for p21; p21 appears instead among the quantitative RT-PCR targets. This paper therefore supports only part of the marker list in the multiply cited sentence. (LLM, conf=0.85)
- Partly supportedcites [31] Ogrodnik, M. et al. Obesity-induced cellular senescence drives anxiety and impairs neurogenesis. Cell Metab. 29, 1061–1077 (2019). sourceExperimental — accuracy not yet measured
The STAR★Methods RNA-ISH section (page unavailable) describes tissue-section staining for p16 and the SASP components IL-6 and Cxcl1, with positive cells identified by RNA-ISH foci. It does not describe RNA-ISH for p21; the Key Resources Table (page unavailable) lists p21 primers but no p21 RNA-ISH probe. This paper therefore supports some, but not all, of the cited examples. (LLM, conf=0.85)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“A prominent example is detection of DNA damage, which is achieved, for example, by detection of colocalized foci of 53BP1 and γH2A.X within the nucleus as evidence of DNA segments with chromatin alterations reinforcing senescence34 or TAF35.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
What the sources say
- Supportedcites [34] Rodier, F. et al. DNA-SCARS: distinct nuclear structures that sustain damage-induced senescence growth arrest and inflammatory cytokine secretion. J. Cell Sci. 124, 68–81 (2011). source
The Results state that 53BP1 and γH2AX completely colocalize in DNA-SCARS. The Introduction identifies DNA-SCARS as persistent damage foci in locally modified chromatin, and the Discussion describes their role in sustaining senescence-associated phenotypes. The cited paper supports the DNA-SCARS portion of the sentence; TAF has a separate citation. (LLM, conf=0.90)
- Partly supportedcites [35] Anderson, R. et al. Length-independent telomere damage drives post-mitotic cardiomyocyte senescence. EMBO J. 38, e100492 (2019). sourceExperimental — accuracy not yet measured
The Results section ('Length-independent telomere damage in aged cardiomyocytes in vivo'; page unavailable) identifies TAF by colocalization of a DNA-damage-response marker, γH2A.X or 53BP1, with telomeres. It does not define TAF as colocalized 53BP1 and γH2A.X foci alone; the telomere signal is essential to that identification. (LLM, conf=0.86)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Centromere FISH has also been used to detect senescence-associated distension of satellites (SADS), also a senescence-associated marker, in multiple tissues28–30.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
What the sources say
- Partly supportedcites [28] Ogrodnik, M. et al. Cellular senescence drives age-dependent hepatic steatosis. Nat. Commun. 8, 15691 (2017). sourceExperimental — accuracy not yet measured
The Methods section ('Telomere and centromere fluorescent ISH') describes using a centromere-specific probe to quantify decondensed centromeres, and the Results section ('DR protects against hepatocyte senescence') identifies SADS as a senescence marker measured in hepatocytes. These passages support the method and marker, but not the claim that it was used to detect SADS in multiple tissues. Page numbers are not provided in our copy. (LLM, conf=0.87)
- Partly supportedcites [29] Farr, J. N. et al. Targeting cellular senescence prevents age-related bone loss in mice. Nat. Med. 23, 1072–1079 (2017). sourceExperimental — accuracy not yet measured
The Online Methods section, “SADS analysis of senescent osteocytes” (page not provided), describes using centromere-targeted FISH to measure SADS in mouse bone osteocytes. It does not show SADS detection by FISH in multiple tissues; the paper assesses adipose tissue with other senescence markers. (LLM, conf=0.88)
- Partly supportedcites [30] Swanson, E. C., Manning, B., Zhang, H. & Lawrence, J. B. Higher-order unfolding of satellite heterochromatin is a consistent and early event in cell senescence. J. Cell Biol. 203, 929–942 (2013). sourceExperimental — accuracy not yet measured
In the Results section ('SADS occurs in senescent murine cells and in vivo in a human benign tumor,' Fig. 4), the authors used DNA FISH to detect distended satellites in senescent prostate intraepithelial neoplasia tissue. They also studied cultured cells, but the other tissue types examined had condensed satellites; this paper does not show SADS detection in multiple tissues. (LLM, conf=0.88)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
- It may state two separate claims as one. 41
- Probably not a substantial claim. 23
At least one cited source doesn’t support this claim or points to a different paper, and none confirmed it — see the verdicts below.
In the paper
“As an alternative to antibody-based methods, innovations for unbiased mass spectrometry-based studies are evolving to query a larger swath of the proteome and metabolome with spatial orientation in tissues, although these methods are still fairly limited in throughput and resolution43,44, restricting their application to mapping rare senescent cells.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
What the sources say
- Disputedcites [43] Taylor, M. J., Liyu, A., Vertes, A. & Anderton, C. R. Ambient single-cell analysis and native tissue imaging using laser-ablation electrospray ionization mass spectrometry with increased spatial resolution. J. Am. Soc. Mass Spectrom. 32, 2490–2494 (2021). sourceExperimental — accuracy not yet measured
Split into 2 atoms — 0 confirmed, 1 partially supported, 1 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Checked by a reasoning model — may be wrong.
- Not checked — no full text of the sourcecites [44] Buczak, K. et al. Spatially resolved analysis of FFPE tissue proteomes by quantitative mass spectrometry. Nat. Protoc. 15, 2956–2979 (2020). source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Disputed
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“For example, the commonly used marker senescence-associated β-galactosidase (SA-β-Gal) at pH 6 can be detected in vitro in confluent and immortalized cells6 and in activated macrophages7, while cell cycle kinase inhibitors p16INK4a and p21CIP1 can be expressed irrespectively of senescence in certain contexts7,8.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Abstract
What the sources say
- Not checked — no full text of the sourcecites [6] Severino, J., Allen, R. G., Balin, S., Balin, A. & Cristofalo, V. J. Is β-galactosidase staining a marker of senescence in vitro and in vivo? Exp. Cell Res. 257, 162–171 (2000). source
- Partly supportedcites [7] Hall, B. M. et al. Aging of mice is associated with p16Ink4a- and β-galactosidase-positive macrophage accumulation that can be induced in young mice by senescent cells. Aging 8, 1294–1315 (2016). sourceExperimental — accuracy not yet measured
The Results (Nature of cells attracted by SCs into peritoneal cavity; page unavailable) report elevated β-galactosidase activity at pH 6 in macrophages elicited by senescent cells. That supports detection in some macrophages, but the reported macrophage finding is in mice, not an in-vitro demonstration. The Discussion (page unavailable) also cautions that β-galactosidase activity does not increase with every type of macrophage activation. The confluent and immortalized cell clause is attached to a different citation and is not judged here. (LLM, conf=0.83)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
Every source the paper cites for this claim was checked and supports it.
In the paper
“It should be noted, however, that senescent cells also have important physiological roles and that their clearance may be detrimental in certain conditions3–5.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Abstract
What the sources say
- Supportedcites [3] Demaria, M. et al. An essential role for senescent cells in optimal wound healing through secretion of PDGF-AA. Dev. Cell 31, 722–733 (2014). source
The Results section, “Elimination of Senescent Cells Delays Cutaneous Wound Healing” (page not supplied), reports that senescent cells facilitate wound repair in mice and that their absence significantly delays wound closure. This supports both a beneficial physiological role and the hedged claim that clearance may be detrimental in certain conditions—specifically, during cutaneous wound healing. (LLM, conf=0.93)
- Supportedcites [4] Born, E. et al. Eliminating senescent cells can promote pulmonary hypertension development and progression. Circulation 147, 650–666 (2023). source
The Introduction describes senescence as a tumor-suppressive mechanism, supporting a physiological role. The Clinical Perspective reports that senescent-cell elimination altered pulmonary hemodynamics in healthy animals and exacerbated experimental pulmonary hypertension. The supplied passages do not provide page numbers. (LLM, conf=0.92)
- Supportedcites [5] Reyes, N. S. et al. Sentinel p16INK4a+ cells in the basement membrane form a reparative niche in the lung. Science 378, 192–201 (2022). source
In “p16INK4a+ fibroblasts promote epithelial stem cell regeneration” (page unavailable), the paper reports that senolytic treatment after lung injury reduced p16INK4a+ cells and significantly impaired airway-cell regeneration. The Discussion (page unavailable) describes a reparative role for these fibroblasts, some of which have senescent characteristics. This supports the qualified claim that clearance may be detrimental in certain conditions. (LLM, conf=0.88)
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Senescent cells can induce senescence in neighboring cells14,15 and, through the SASP, recruit immune cells to their vicinity.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Abstract
What the sources say
- Supportedcites [14] Acosta, J. C. et al. A complex secretory program orchestrated by the inflammasome controls paracrine senescence. Nat. Cell Biol. 15, 978–990 (2013). source
The citation is attached to the claim that senescent cells induce senescence in neighboring cells. In “Paracrine senescence is a stable arrest mediated by secreted factors” (page not provided), nearby normal cells showed reduced proliferation after oncogene-induced senescence, and the authors conclude that senescence can be transmitted by soluble factors. The immune-cell recruitment clause is not attached to this citation. (LLM, conf=0.94)
- Supportedcites [15] Xu, M. et al. Senolytics improve physical function and increase lifespan in old age. Nat. Med. 24, 1246–1256 (2018). source
The citation follows the claim that senescent cells can induce senescence in other cells; the immune-cell recruitment clause comes after it. In the Results section on senescent-cell transplantation, the paper reports increased senescence markers in recipient mice’s own adipose-tissue cells after senescent cells were transplanted. (LLM, conf=0.91)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Expression of p21CIP1, p16INK4A, p53, components of the DNA damage response (DDR; for example, γH2A.X and 53BP1)22, decreased lamin B1 (ref. 23), loss of nuclear high-mobility group box 1 (HMGB1)24 and expression of GLB1 (ref. 25) (which encodes lysosomal β-d-galactosidase) are common senescence-associated markers assessed in tissues by immunohistochemistry and immunofluorescence.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
What the sources say
- Not checked — no full text of the sourcecites [22] Wang, C. et al. DNA damage response and cellular senescence in tissues of aging mice. Aging Cell 8, 311–323 (2009). source
- Supportedcites [23] Freund, A., Laberge, R. M., Demaria, M. & Campisi, J. Lamin B1 loss is a senescence-associated biomarker. Mol. Biol. Cell 23, 2066–2075 (2012). source
Split into 2 atoms — 2 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
- Supportedcites [24] Davalos, A. R. et al. p53-dependent release of alarmin HMGB1 is a central mediator of senescent phenotypes. J. Cell Biol. 201, 613–629 (2013). source
Split into 2 atoms — 2 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
Every source the paper cites for this claim was checked and supports it.
In the paper
“For example, structured illumination microscopy was used to estimate the density of nuclear pores33.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
What the sources say
- Supportedcites [33] Boumendil, C., Hari, P., Olsen, K. C. F., Acosta, J. C. & Bickmore, W. A. Nuclear pore density controls heterochromatin reorganization during senescence. Genes Dev. 33, 144–149 (2019). source
The Materials and methods section (‘SIM and measurement of nuclear pore density’) says the authors imaged cells by 3D structured illumination microscopy and manually counted individual nuclear pore complexes in the images. Figure 1F–G reports the resulting density measurements in pores per square micrometer. (LLM, conf=0.95)
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Advantages of this method are that it can be applied to FFPE tissues and combined with other immunohistochemical techniques.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
What the sources say
- Supportedcites [21] Georgakopoulou, E. A. et al. Specific lipofuscin staining as a novel biomarker to detect replicative and stress-induced senescence. A method applicable in cryo-preserved and archival tissues. Aging 5, 37–50 (2013). source
The Discussion states that Sudan Black B staining detects lipofuscin in FFPE tissue sections. The Results report concomitant staining with Sudan Black B and the proliferation marker Ki67 in cultured cells, supporting compatibility with an immunostaining technique; the paper does not demonstrate that combination in FFPE sections. (LLM, conf=0.86)
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“These methods can be applied to both frozen and FFPE tissue sections.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
What the sources say
- Partly supportedcites [13] Ogrodnik, M. et al. Whole-body senescent cell clearance alleviates age-related brain inflammation and cognitive impairment in mice. Aging Cell 20, e13296 (2021). sourceExperimental — accuracy not yet measured
The Methods > RNA-ISH section describes applying RNAscope to paraffin tissue sections, supporting the FFPE portion of the claim. It does not describe RNA-ISH on frozen sections; searches for frozen sections and FFPE found no such passage. Page numbers are not available in our copy. (LLM, conf=0.87)
- Partly supportedcites [16] Lagnado, A. et al. Neutrophils induce paracrine telomere dysfunction and senescence in ROS-dependent manner. EMBO J. 40, e106048 (2021). sourceExperimental — accuracy not yet measured
The Materials and Methods section (page unavailable) describes RNA-ISH on paraffin tissue sections, supporting its use on FFPE sections. It does not describe RNA-ISH on frozen sections; the frozen liver tissue mentioned elsewhere was reserved for biochemical analyses. (LLM, conf=0.88)
- Partly supportedcites [31] Ogrodnik, M. et al. Obesity-induced cellular senescence drives anxiety and impairs neurogenesis. Cell Metab. 29, 1061–1077 (2019). sourceExperimental — accuracy not yet measured
The STAR★Methods section on RNA in situ hybridization describes applying RNA-ISH to paraffin sections. It does not describe RNA-ISH on frozen sections, and it does not explicitly say the paraffin sections were formalin-fixed, so the claim about both frozen and FFPE tissue is not fully supported. (LLM, conf=0.84)
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Super-resolution microscopy has emerged as having great potential to investigate biological samples at unprecedented levels of detail, as new and powerful fluorescence-based methods now permit imaging cellular compartments at a resolution beyond that of the diffraction limit of light (<200 nm).”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
What the sources say
- Supportedcites [32] Valli, J. et al. Seeing beyond the limit: a guide to choosing the right super-resolution microscopy technique. J. Biol. Chem. 297, 100791 (2021). source
The Abstract says far-field super-resolution techniques overcome the diffraction limit. The Resolution section reports achievable resolutions down to 120 nm and describes their use to examine mitochondrial morphology and membrane domains (page numbers not provided). (LLM, conf=0.92)
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Thorough in situ characterization of DDR foci also requires high-resolution imaging to detect and quantify distinct intranuclear puncta, as DDR foci are often under 1 μm34,35.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
What the sources say
- Partly supportedcites [34] Rodier, F. et al. DNA-SCARS: distinct nuclear structures that sustain damage-induced senescence growth arrest and inflammatory cytokine secretion. J. Cell Sci. 124, 68–81 (2011). sourceExperimental — accuracy not yet measured
The Introduction says DNA damage foci can be detected in cell nuclei by fluorescence microscopy, and the Results describe monitoring and distinguishing small from enlarged foci. However, our copy does not establish that high-resolution imaging is required or that DDR foci are often under 1 μm (searched for size, resolution, and imaging requirements). (LLM, conf=0.78)
- Partly supportedcites [35] Anderson, R. et al. Length-independent telomere damage drives post-mitotic cardiomyocyte senescence. EMBO J. 38, e100492 (2019). sourceExperimental — accuracy not yet measured
The Discussion (page unavailable) says super-resolution STED microscopy improved the resolution of clustered telomere signals, supporting the need for higher-resolution imaging to distinguish nearby signals. It does not establish that DDR foci are often under 1 μm or that this size is why high-resolution imaging is required for their in situ characterization. (LLM, conf=0.83)
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“For example, HMGB1, a ubiquitous and predominantly nuclear protein, localizes to the cytoplasm and is secreted during senescence24.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
What the sources say
- Supportedcites [24] Davalos, A. R. et al. p53-dependent release of alarmin HMGB1 is a central mediator of senescent phenotypes. J. Cell Biol. 201, 613–629 (2013). source
The Introduction describes HMGB1 as an abundant protein, and the Results (“Senescent human cells secrete HMGB1”) show that it is abundant in nonsenescent nuclei but depleted from senescent nuclei, with some cytoplasmic staining. That section also detects HMGB1 in conditioned media; “Senescent cells actively export nuclear HMGB1” confirms its export from the nucleus. (LLM, conf=0.88)
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Already there are reports of Visium being used to investigate the spatial characteristics of cellular senescence in mouse52 and human brains53 as well as to decipher age-dependent tissue-regeneration capabilities54.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Spatial transcriptomics
What the sources say
- Supportedcites [52] Kiss, T. et al. Spatial transcriptomic analysis reveals inflammatory foci defined by senescent cells in the white matter, hippocampi and cortical grey matter in the aged mouse brain. GeroScience 44, 661–681 (2022). source
The citation to this paper is attached to the mouse-brain part of the sentence, not the separate claims about human brains or tissue regeneration. The Introduction describes mapping senescence-associated microdomains in young and aged mouse brains, and “Tissue processing and RNA sequencing” states that the brain sections were placed on Visium Spatial Gene Expression Slides. Page numbers were not available in our copy. (LLM, conf=0.94)
- Supportedcites [53] Xu, P. et al. The landscape of human tissue and cell type specific expression and co-regulation of senescence genes. Mol. Neurodegener. 17, 5 (2022). source
Citation 53 supports the human-brain portion of the sentence. The Results describe using a 10x Genomics Visium spatial transcriptomic dataset of postmortem human brain to map the spatial localization of a senescence-gene-enriched module; the mouse-brain and tissue-regeneration claims have separate citations. (LLM, conf=0.94)
- Supportedcites [54] Tower, R. J. et al. Spatial transcriptomics reveals metabolic changes underly age-dependent declines in digit regeneration. eLife 11, e71542 (2022). source
The Methods state that the study used the Visium Spatial Gene Expression System. The Discussion reports spatial transcriptomic analysis of impaired digit regeneration in aged mice and a partial rescue of the age-dependent decline. Citation 54 supports the regeneration clause; the brain-senescence clauses have separate citations. (LLM, conf=0.94)
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“The ability of STORM to provide a detailed rendering of the structure of chromatin fibers37 makes it ideal to investigate changes in heterochromatin distribution within senescent nuclei, such as the loss of lamin-associated domains38, which has been primarily investigated via electron microscopy techniques39.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
What the sources say
- Partly supportedcites [39] De Cecco, M. et al. Genomes of replicatively senescent cells undergo global epigenetic changes leading to gene silencing and activation of transposable elements. Aging Cell 12, 247–256 (2013). sourceExperimental — accuracy not yet measured
The Results (page not provided) report using electron microscopy to find reduced staining of peripheral heterochromatin in senescent nuclei. The paper does not establish that lamin-associated domains themselves were lost or that their loss has primarily been investigated by electron microscopy. (LLM, conf=0.84)
plain- Asserted: passes — The authors put it forward as true.
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- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Similarly, levels of lamin B1, which is a component of the nuclear lamina, decrease during senescence23, and its detection requires sufficient resolution to visualize a 30–100-nm-thick structure.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
What the sources say
- Supportedcites [23] Freund, A., Laberge, R. M., Demaria, M. & Campisi, J. Lamin B1 loss is a senescence-associated biomarker. Mol. Biol. Cell 23, 2066–2075 (2012). source
The Introduction identifies lamin B1 as a B-type lamin of the nuclear lamina. The Results report that lamin B1 protein levels declined markedly in senescent cells. Citation 23 is attached to the decline during senescence, not to the subsequent statement about resolving a 30–100-nm-thick structure. (LLM, conf=0.93)
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Methods such as cyclic immunofluorescence (CyCIF)45 and iterative indirect immunofluorescence imaging (4i)46, which do not require proprietary instrumentation, allow the elution of antibodies in relatively mild conditions that preserve the sample structure up to and possibly over 20 rounds of elution and imaging, allowing the detection of over 40 protein targets.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
What the sources say
- Partly supportedcites [45] Lin, J. R., Fallahi-Sichani, M., Chen, J. Y. & Sorger, P. K. Cyclic immunofluorescence (CycIF), a highly multiplexed method for single-cell imaging. Curr. Protoc. Chem. Biol. 8, 251–264 (2016). sourceExperimental — accuracy not yet measured
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
- Not checked — no full text of the sourcecites [46] Gut, G., Herrmann, M. D. & Pelkmans, L. Multiplexed protein maps link subcellular organization to cellular states. Science 361, eaar7042 (2018). source
hedgeddirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Interestingly, p21CIP1-positive nuclei exhibited higher predicted levels of senescence in multiple tissues, while proliferating cells (indicated by 5-ethynyl-2′-deoxyuridine (EdU) incorporation) showed lower levels65.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Use of deep learning methods to identify senescent cells > Simple imaging-based methods coupled with deep learning predict cellular senescence
What the sources say
- Supportedcites [65] Heckenbach, I. et al. Nuclear morphology is a deep learning biomarker of cellular senescence. Nat. Aging 2, 742–755 (2022). source
The Results section reports higher predicted senescence for p21Cip1-positive cells in mouse liver and for p21Cip1-positive nuclei in human dermis using the RS and IR models. It also reports that EdU-positive cells had lower senescence scores in mouse skin and testis. (LLM, conf=0.92)
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Furthermore, PIXEL-seq uses DNA arrays called ‘polony gels’, which capture tissue RNA from a single-cell layer touching the gel, similar to confocal microscopy, and restrain template diffusion, thus improving single-cell resolution63.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Spatial transcriptomics
What the sources say
- Supportedcites [63] Fu, X. et al. Polony gels enable amplifiable DNA stamping and spatial transcriptomics of chronic pain. Cell 185, 4621–4633 (2022). source
The Results section on the mouse olfactory bulb reports that polony gels appeared to capture RNA from the gel-contacting cell layer rather than deeper tissue. It also reports limited template drift and says gel-based capture increased resolution; the Introduction identifies polony gels as the basis of Pixel-seq. (LLM, conf=0.91)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Recently, several ultra-high-resolution technologies such as Seq-Scope61, Stereo-seq62 and polony-indexed library sequencing (PIXEL-seq)63 have been developed, which could prove ideal for identification and characterization of senescent cells and their interactions with the environment. In addition to providing submicrometer resolution, which is comparable to that of optical microscopy, these meth”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Spatial transcriptomics
What the sources say
- Supportedcites [61] Cho, C.-S. et al. Microscopic examination of spatial transcriptome using Seq-Scope. Cell 184, 3559–3572 (2021). source
The citation identifies Seq-Scope, and the Introduction reports its submicrometer resolution (0.5–0.8 μm) and transcriptome capture output of up to 23–27 UMIs/μm². The Results likewise describe high capture efficiency. This source is cited for Seq-Scope, not for the separately cited technologies. (LLM, conf=0.92)
- Supportedcites [62] Chen, A. et al. Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays. Cell 185, 1777–1792 (2022). source
The citation identifies Stereo-seq, which this paper introduces. The methods description (p. 3) reports 220-nm capture spots spaced 500 or 715 nm apart, and the benchmark (p. 3) reports 69 unique molecular identifiers per 2-μm-diameter bin—approximately 22 per μm², consistent with the claim’s approximate figure. The separate citations attached to Seq-Scope and PIXEL-seq are not judged here. (LLM, conf=0.86)
- Partly supportedcites [63] Fu, X. et al. Polony gels enable amplifiable DNA stamping and spatial transcriptomics of chronic pain. Cell 185, 4621–4633 (2022). sourceExperimental — accuracy not yet measured
The Introduction identifies this paper as the report of Pixel-seq and describes high-resolution tissue mapping with efficient RNA capture; the mouse olfactory-bulb Results likewise report high capture efficiency. But the Results describe Pixel-seq’s assay feature resolution as 1 μm, while the submicrometer figure refers to gel-to-gel replication. Our copy does not report ~23 unique transcripts per μm² or establish that figure for all three named methods; pages are not provided in the indexed copy. (LLM, conf=0.86)
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Deep learning methods have been recently developed to detect senescent cells in culture with phase-contrast imaging99 and tissues with H&E and DAPI staining65.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Use of deep learning methods to identify senescent cells > Simple imaging-based methods coupled with deep learning predict cellular senescence
What the sources say
- Supportedcites [99] Kusumoto, D. et al. Anti-senescent drug screening by deep learning-based morphology senescence scoring. Nat. Commun. 12, 257 (2021). source
The Methods (Microscopic imaging) describe phase-contrast images of cultured control and senescent HUVECs. The Results (High accuracy identification of senescent cells by a CNN) report that the trained network classified senescent and control cells with high accuracy. The H&E and DAPI tissue-imaging clause is attached to a different citation, so it is not attributed to this source. (LLM, conf=0.94)
- Supportedcites [65] Heckenbach, I. et al. Nuclear morphology is a deep learning biomarker of cellular senescence. Nat. Aging 2, 742–755 (2022). source
The Results section (‘Predictor translates across species and tissues in vivo’; page unavailable) reports applying the senescence predictor to DAPI-stained mouse liver sections and H&E-stained liver tissue. The paper also reports its use on H&E-stained human dermis. The phase-contrast imaging clause is attributed to citation 99, not this source. (LLM, conf=0.94)
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Further analysis of skin biopsies revealed that predicted senescence in the dermis of more than 160 individuals increased with age and showed expected associations with disease outcomes.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Use of deep learning methods to identify senescent cells > Simple imaging-based methods coupled with deep learning predict cellular senescence
What the sources say
- Supportedcites [65] Heckenbach, I. et al. Nuclear morphology is a deep learning biomarker of cellular senescence. Nat. Aging 2, 742–755 (2022). source
The Results section, “Human dermis shows an increase in senescent nuclei with age,” reports analysis of dermal biopsies from 169 people and an age-dependent increase in predicted senescence. “Senescence is associated with multiple health conditions” reports associations with diagnosed conditions, including fewer malignancies and higher frequencies of osteoporosis and osteoarthritis. The paper notes that several individual-condition associations did not remain significant after multiple-test correction. (LLM, conf=0.91)
plaincorrelationaln = 160- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“DBiT-seq is an unbiased multiomic approach that allows for spatial barcoding of the transcriptome in tissues57.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Spatial transcriptomics
What the sources say
- Supportedcites [57] Liu, Y. et al. High-spatial-resolution multi-omics sequencing via deterministic barcoding in tissue. Cell 183, 1665–1681 (2020). source
The Discussion describes DBiT-seq as an unbiased, genome-wide approach that measures the mRNA transcriptome and protein markers on a fixed tissue slide. The Results section (“DBiT-seq workflow”) explains how spatial barcodes are incorporated into tissue-derived cDNAs to reconstruct a spatial expression map. Page numbers are not provided in the supplied passages. (LLM, conf=0.94)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Supported
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“There are many challenges to mapping senescent cells in tissues such as the absence of specific markers and their relatively low abundance and vast heterogeneity.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Abstract
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The spatial component is essential, as senescent cells communicate with neighboring cells, impacting their function and the composition of extracellular space.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Abstract
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Single-cell technologies have allowed unprecedented characterization of senescence; however, many methodologies fail to provide spatial insights.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Abstract
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“There are, however, several advantages: these techniques are established, widely used and inexpensive; as such, protocols are relatively easy to apply and are generally reproducible.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Factors such as tissue processing and autofluorescence greatly affect image quality and readout accuracy.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“All methods mentioned here have the limitation of detecting one or relatively few biomolecules simultaneously and are therefore not adequate to characterize the molecular heterogeneity of senescent cells in a spatially resolved manner.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Preparation and preservation of the cell suspension can affect the final proportion of cells that are sampled.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Abstract
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In immunohistochemical techniques, common challenges in visualizing senescence-associated markers are low levels of antigen expression, lack of specificity of the primary antibody, variability between antibodies even from the same manufacturer, cross-reactivity between primary and/or secondary antibodies, autofluorescence, quality of tissue fixation and others.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Detection of the activity of the lysosomal enzyme SA-β-Gal at pH 6.0 is a common method used to detect senescent cells20.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
What the sources say
- Not checked — no full text of the sourcecites [20] Dimri, G. P. et al. A biomarker that identifies senescent human cells in culture and in aging skin in vivo. Proc. Natl Acad. Sci. USA 92, 9363–9367 (1995). source
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Limitations of this methodology for identification of senescent cells are that it requires frozen tissue sections (not applicable to formalin-fixed paraffin-embedded (FFPE) samples) and its diffused cytoplasmic staining can be challenging to evaluate.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
What the sources say
- Not checked — no full text of the sourcecites [20] Dimri, G. P. et al. A biomarker that identifies senescent human cells in culture and in aging skin in vivo. Proc. Natl Acad. Sci. USA 92, 9363–9367 (1995). source
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In addition, it is well established within the senescence community that many commercially available antibodies that target mouse p16INK4A are unspecific, making its detection in tissues unreliable.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Both methods require high-resolution fluorescence imaging, generation of z stacks (to acquire three-dimensional (3D) images) and have high analytical burden and therefore are not amenable to large-scale studies.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
plaindirect- Asserted: passes — The authors put it forward as true.
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In the paper
“For instance, expression of p16INK4A protein ranges from undetectable to qualitatively low in aged tissues and is an example of a senescence-associated marker that requires a consistent and robust limit of detection sensitivity for accurate studies.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
plain- Asserted: passes — The authors put it forward as true.
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In the paper
“Image resolution using these systems is similar to that of the aforementioned cyclical staining methods, although fluorescence-based detection may still suffer from high noise-to-signal ratios for low-expression targets such as p16INK4A, particularly in tissues that have undergone harsh fixation.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
hedgedconditional- Asserted: passes — The authors put it forward as true.
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Iterative immunofluorescence methods, such as MACSima and CellScape, are capable of imaging with enough resolution to detect subtle changes in organelle structure and morphology (100–200 nm per pixel) and do not require specialized antibody conjugations, which are time consuming and expensive and have the potential to negatively affect their ability to recognize targets.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
plain- Asserted: passes — The authors put it forward as true.
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“However, all iterative immunofluorescence methods share several caveats in their application. Repeated rounds of staining and bleaching may alter epitope stability and are subject to incomplete fluorophore inactivation between cycles.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
hedgedconditional- Asserted: passes — The authors put it forward as true.
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Furthermore, mass imaging obliterates the tissue sample, rendering multiplexed ion beam imaging (MIBI) and imaging mass cytometry (IMC) incompatible with sequential analyses.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Irrespective of staining and detection modalities, platforms that limit the imageable tissue area (CosMx, MACSima, CellScape, PhenoCycler, IMC) may altogether miss populations of senescent cells, which may be unequally distributed, in subsections of larger tissues.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
hedgedconditional- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The majority of current high-plex spatial proteomic platforms use panels of tagged antibodies to detect and quantify between ten and 60 proteins, although some have reported higher numbers.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“This method, however, is technically limiting and expensive.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Mass spectrometry-based platforms, which use up to 40 different metal-conjugated antibodies in a single staining and detection step, permit highly sensitive protein detection.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although Visium is an unbiased spatial transcriptomic solution, its low resolution (100 μm center to center; by comparison, the naked human eye has a resolution of ~40 μm) makes it unsuitable for profiling single cells. Therefore, isolating the senescent cell transcriptome and characterizing their spatial location will not be precise.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Spatial transcriptomics
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Rests on an assumption: Visium provides robust spatially resolved whole-transcriptome evaluation at relatively low resolution and discontinuous detection area.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“To overcome this limitation, many laboratories have taken advantage of microfluidic systems to image multiple cycles of STORM using the same dye.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“NanoString GeoMx is a spatial omics platform for analysis of RNA (whole transcriptome) or proteins (over 100-plex) that uses photocleavable oligonucleotide barcodes that are coupled to RNA probes or antibodies.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Spatial transcriptomics
What the sources say
- Not checked — no full text of the sourcecites [56] Merritt, C. R. et al. Multiplex digital spatial profiling of proteins and RNA in fixed tissue. Nat. Biotechnol. 38, 586–599 (2020). source
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A solution to overcome this problem is to use conventional widefield microscopy to identify putative senescent cells, which are then targeted for super-resolution imaging.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Low-plex imaging methods
hedgeddirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In these platforms, the diversity of barcode conjugates makes them unparalleled in their plex limit, potentially exceeding 100 targets on a single tissue section.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
hedgeddirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Probes targeting SA-β-Gal will stain the lysosomes specifically, which vary in size from 100 nm to over 1 μm20.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
What the sources say
- Not checked — no full text of the sourcecites [20] Dimri, G. P. et al. A biomarker that identifies senescent human cells in culture and in aging skin in vivo. Proc. Natl Acad. Sci. USA 92, 9363–9367 (1995). source
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Metal tagging can circumvent other issues common to fluorescence-based approaches such as tissue autofluorescence; however, protocols for mass tagging antibodies can negatively impact their sensitivity.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“To date, there has been a disproportionate use of changes in mRNA levels to detect senescent cells.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“High-plex imaging requires substantial time investment in the generation and optimization of conjugated antibody panels, in addition to the time required to acquire images.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Spatially resolved proteomic approaches have the potential to characterize the density and microanatomical location of senescent cells, to define the impact of senescent cells on their microenvironment and the immune cell types interacting with them and to identify the distribution of key protein senescence effectors within human tissues.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > High-plex imaging methods
hedgedconditional- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This is particularly important as it can overcome the gene-throughput limitations of CosMx and STARmap.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Use of deep learning methods to identify senescent cells > Integrative approaches using deep learning for fine-resolution tissue mapping of spatial transcriptomics Incorporation of the imaging-based deep learning method described above into single-cell transcriptomic technologies offers an unprecedented solution for training models that can map senescent cells in tissues in health and disease. A proposed example of such a pipeline is delineated in this section. This starts with a time-series scRNA-seq and/or single-nucleus RNA-sequencing (snRNA-seq) experiment to acquire transcriptome changes during induction of cellular senescence for a certain cell type. Next, these data can be used to train a deep learning model to predict the senescent cell burden and extract top predictive features in an unsupervised manner, which would represent the markers of cell senescence for this specific cell type in vitro. These preliminary senescence-associated markers will be used in designing specific probes for in situ single-cell techniques such as CosMx or STARmap100 and performing spatial alignment of scRNA-seq and/or snRNA-seq data acquired from the same tissue sample86. This is particularly important as it can overcome the gene-throughput limitations of CosMx and STARmap. Further extending the existing method65, which maps nucleus morphology to cell senescence, the senescent cells will also be precisely located based on their transcriptome signatures in the tissue. This will be achieved by obtaining a transcriptome of senescent cells and training the deep learning model to extract the top features as markers of cellular senescence in vivo. Consequently, these markers can be used to map senescent cells in the same tissue type, and the list of markers will be refined after multiple iterations of the proposed experiments (Fig. 6h).
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Furthermore, many of the senescence-associated transcripts, such as those encoding cell cycle-dependent kinase inhibitors, are not very abundantly expressed; therefore, high-resolution and high-capture output are essential for spatial analysis of cell senescence.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Spatial transcriptomics
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Rests on an assumption: Many senescence-associated transcripts, such as those encoding cell cycle-dependent kinase inhibitors, are not very abundantly expressed.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Considering that single cells can occupy up to 100–500 μm2, this output is comparable to that of conventional single-cell RNA sequencing (scRNA-seq), enabling sensitive detection of senescent transcripts.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Imaging-based technologies to detect senescent cells in tissue sections > Spatial transcriptomics
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Such a benchmark is necessary to determine whether methods specifically designed for deconvoluting senescent cells are needed.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Image data analysis of senescent cells > Integration with scRNA-seq data for cell type deconvolution Spatial transcriptomic platforms such as Visium and Slide-seq83 measure gene expression profiles of spatial spots that may contain multiple cells from distinct cell types. When scRNA-seq data from the same tissue are available, computational methods such as SPOTlight, robust cell type decomposition (RCTD), Tangram and conditional autoregressive deconvolution (CARD)84–87 deconvolute the spatial transcriptomic data and infer the proportion of different cell types within each spatial spot. These methods can potentially infer the spatial locations of senescent cells if the senescent cells are annotated in the scRNA-seq data, but there could be important challenges. First, deconvolution methods may struggle to reliably detect differences between senescent and non-senescent cells within each cell type, which could be much smaller than the differences across cell types. Second, senescent cell density in some tissues could be overwhelmed by more prevalent cell types, causing a failure in detection of senescent cells. Third, reference scRNA-seq datasets with annotated senescent cells are lacking in many types of tissues. Finally, although there are studies benchmarking the performance of deconvolution methods in a more general setting88, the performance of deconvoluting senescent cells is largely unknown. Such a benchmark is necessary to determine whether methods specifically designed for deconvoluting senescent cells are needed.
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. It may be too vague to check against evidence.
- Rests on an assumption: The performance of deconvoluting senescent cells is largely unknown.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“While the accuracy for individual nuclei is difficult to establish in tissues, deep learning predictors can offer overall assessment of senescence in tissues along with differential analysis across ages, medical conditions or other factors.”
§ Spatial mapping of cellular senescence: emerging challenges and opportunities > Use of deep learning methods to identify senescent cells > Simple imaging-based methods coupled with deep learning predict cellular senescence
plaincorrelationaln = 160- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Rests on an assumption: The accuracy for individual nuclei is difficult to establish in tissues.
The paper relies on this without support.
Cellular senescence is a driver of aging and age-related diseases.
“Cellular senescence is a well-established driver of aging and age-related diseases.”
The paper relies on this without support.
Cells bearing senescence-associated markers accumulate in most tissues during aging and age-related diseases.
“Cells bearing senescence-associated markers have been shown to accumulate in most tissues during aging and age-related diseases.”
The paper relies on this without support.
Visium provides robust spatially resolved whole-transcriptome evaluation at relatively low resolution and discontinuous detection area.
“The company 10x Genomics currently offers spatial barcoding-based transcript detection (Visium) in flash-frozen and FFPE tissues, providing robust spatially resolved whole-transcriptome evaluation at the cost of relatively low resolution and discontinuous detection area (barcoded spot diameter, ~50 μm; 100 μm between spots; 6.5 × 6.5-mm tissue-capture area).”
The paper relies on this without support.
Senescent cells are typically rare in tissues.
“This would allow for integration of transcriptomic, proteomic and epigenomic data for the positive identification of senescent cells, which are typically rare.”
The paper relies on this without support.
Many senescence-associated transcripts, such as those encoding cell cycle-dependent kinase inhibitors, are not very abundantly expressed.
“Furthermore, many of the senescence-associated transcripts, such as those encoding cell cycle-dependent kinase inhibitors, are not very abundantly expressed; therefore, high-resolution and high-capture output are essential for spatial analysis of cell senescence.”
The paper relies on this without support.
Reference scRNA-seq datasets with annotated senescent cells are lacking in many types of tissues.
“Third, reference scRNA-seq datasets with annotated senescent cells are lacking in many types of tissues.”
The paper relies on this without support.
The performance of deconvoluting senescent cells is largely unknown.
“Finally, although there are studies benchmarking the performance of deconvolution methods in a more general setting88, the performance of deconvoluting senescent cells is largely unknown.”
The paper relies on this without support.
The accuracy for individual nuclei is difficult to establish in tissues.
“While the accuracy for individual nuclei is difficult to establish in tissues, deep learning predictors can offer overall assessment of senescence in tissues along with differential analysis across ages, medical conditions or other factors.”
The paper relies on this without support.
Senescence is a cell state with temporal and phenotypic heterogeneous characteristics that depend on cell type, organ, stimulus and physiologic and temporal conditions.
“While markers can help to identify specific cell types, senescence is a cell state with temporal and phenotypic heterogeneous characteristics that will depend on cell type, organ, stimulus and physiologic and temporal conditions.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“the regulation of senescence extends beyond transcription, and prior work has reported cases in which transcriptomic changes do not align with proteomic readouts [11,46,47,48].”
From Fluorescence-Guided Spatial Mapping of p21-Expressing Senescent Cells in Aged Liver at Single-Cell Resolution (2026) · cites this paper as [11]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Senescent cells release pro-inflammatory molecules, such as cytokines and chemokines, collectively known as the senescence-associated secretory phenotype (SASP), that can harm neighboring non-senescent cells and contribute to age-related diseases.”
From Spatial transcriptomic landscape unveils immunoglobin-associated senescence as a hallmark of aging (2024) · cites this paper as [30]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“The heterogeneous cell-type and context-specific phenotype of senescent cells has presented challenges for identifying a universal biomarker [18,19].”
From Evaluation of exploratory fluid biomarkers from a phase 1 senolytic trial in mild Alzheimer's disease (2025) · cites this paper as [19]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Induction of senescence is a tumor suppressor mechanism143–145 and a side effect of several chemotherapeutic drugs that induce a phenotype that might be considered an acquired premature progeroid syndrome in both normal and cancer cells146.”
From Guidelines for minimal information on cellular senescence experimentation in vivo (2024) · cites this paper as [143]
Experimental — accuracy not yet measured
Citations
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Metadata
- Authors
- Gurkar, A. U., Gerencser, A. A., Mora, A. L., Nelson, A. C., Zhang, A. R., Lagnado, A. B., Enninful, A., Benz, C., Furman, D., Beaulieu, D., Jurk, D., Thompson, E. L., Wu, F., Rodriguez, F., Barthel, G., Chen, H., Phatnani, H., Heckenbach, I., Chuang, J. H., Horrell, J., Petrescu, J., Alder, J. K., Lee, J. H., Niedernhofer, L. J., Kumar, M., Königshoff, M., Bueno, M., Sokka, M., Scheibye-Knudsen, M., Neretti, N., Eickelberg, O., Adams, P. D., Hu, Q., Zhu, Q., Porritt, R. A., Dong, R., Peters, S., Victorelli, S., Pengo, T., Khaliullin, T., Suryadevara, V., Fu, X., Bar-Joseph, Z., Ji, Z., & Passos, J. F.
- Affiliations
- University of Pittsburgh (US)
- Buck Institute for Research on Aging (US)
- The Ohio State University (US)
- Duke University (US)
- Mayo Clinic (US)
- Yale University (US)
- University of Minnesota (US)
- Carnegie Mellon University (US)
- Columbia University Irving Medical Center (US)
- The Jackson Laboratory for Genomic Medicine (US)
- Brown University (US)
- University of Michigan (US)
- Stanford University (US)
- Sanford Burnham Prebys Medical Discovery Institute (US)
- University of California San Diego (US)
- University of Washington (US)
- Corresponding author
- Passos, João F.
- ORCID
- Gurkar, Aditi U.
- Gerencser, Akos A.
- Mora, Ana L.
- Zhang, Anru R.
- Lagnado, Anthony B.
- Enninful, Archibald
- Benz, Christopher
- Furman, David
- Beaulieu, Delphine
- Jurk, Diana
- Thompson, Elizabeth L.
- Wu, Fei
- Rodriguez, Fernanda
- Barthel, Grant
- Chen, Hao
- Phatnani, Hemali
- Heckenbach, Indra
- Chuang, Jeffrey H.
- Petrescu, Joana
- Alder, Jonathan K.
- Lee, Jun Hee
- Niedernhofer, Laura J.
- Kumar, Manoj
- Bueno, Marta
- Sokka, Miiko
- Scheibye-Knudsen, Morten
- Neretti, Nicola
- Eickelberg, Oliver
- Adams, Peter D.
- Hu, Qianjiang
- Zhu, Quan
- Porritt, Rebecca A.
- Dong, Runze
- Victorelli, Stella
- Pengo, Thomas
- Khaliullin, Timur
- Suryadevara, Vidyani
- Passos, João F.
- Venue
- Nature Aging
- Published
- 2023-07-03
- Volume
- 3
- Issue
- 7
- Pages
- 776-790
- ISSN
- 2662-8465 (ISSN-L)
- PMC
- PMC10505496
- OpenAlex
- W4382989269
- Cited by
- 141
- References
- 110
- Citations by year
- 2026: 43 · 2025: 46 · 2024: 44 · 2023: 8
- FWCI
- 3.88
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Aging (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
- Funders
- Novo Nordisk Fonden (NNF17OC0027812)
- National Institutes of Health
- National Institute on Aging (U54AG075941, U54AG075932, U54AG076041, U54AG076040, U54AG079758, U54AG075931, U54AG075936)
- NIH Office of the Director
- National Cancer Institute (UG3CA268091, UG3CA268202, UG3CA268112, UH3CA268103, UG3CA268103, UG3CA268096, UH3CA268091, U24CA268108)
- Common Fund (U24CA268108)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- cellular senescence, spatial imaging, senescence markers, single-cell technologies, senescence heterogeneity, extracellular space, aging, age-related diseases
- MeSH terms
- Aging, Animals, Humans, Longevity, United States, Cellular Senescence, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-12, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-12 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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