Cited by 100

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Proliferation Drives Aging-Related Functional Decline in a Subpopulation of the Hematopoietic Stem Cell Compartment

Kirschner, Kristina, Chandra, Tamir, Kiselev, Vladimir, Flores-Santa Cruz, David, Macaulay, Iain C., Park, Hyun Jun, Li, Juan, Kent, David G., Kumar, Rupa, Pask, Dean C., Hamilton, Tina L., Hemberg, Martin, Reik, Wolf, Green, Anthony R.·2017·Cell Reports

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.celrep.2017.04.074

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Figures

Graphical abstract
Graphical abstract CC BY · PubMed Central
Figure 1 LT-HSCs Display a Distinct Subpopulation with Age (A) Sorting strategy for HSCs. (B) SC3 clustering of young and old HSC transcriptomes. Replicates: purple and green bars. Age: orange (young) and turquoise (old) bars. Similarity between cells is indicated from blue to red (identical). Rep, replicate. (C) Heatmap of top ten marker genes of cluster 1. Expression is shown from blue (low) to red (high). (D) Silhouette plots for all clusters. The silhouette index (si) and the number of cells per cluster are given. xSi, average silhouette index. (E) Boxplots for ESLAM marker intensity for old-specific (blue) and other old (red) HSCs. Rel. Expr., relative expression. (F) SCDE plots for marker genes of cluster 1 in young (blue) and old (orange) HSCs. Expression levels of individual cells are indicated by individual lines. See also Supplemental Experimental Procedures.
Figure 1 LT-HSCs Display a Distinct Subpopulation with Age (A) Sorting strategy for HSCs. (B) SC3 clustering of young and old HSC transcriptomes. Replicates: purple and green bars. Age: orange (young) and turquoise (old) bars. Similarity between cells is indicated from blue to red (identical). Rep, replicate. (C) Heatmap of top ten marker genes of cluster 1. Expression is shown from blue (low) to red (high). (D) Silhouette plots for all clusters. The silhouette index (si) and the number of cells per cluster are given. xSi, average silhouette index. (E) Boxplots for ESLAM marker intensity for old-specific (blue) and other old (red) HSCs. Rel. Expr., relative expression. (F) SCDE plots for marker genes of cluster 1 in young (blue) and old (orange) HSCs. Expression levels of individual cells are indicated by individual lines. See also Supplemental Experimental Procedures.CC BY · PubMed Central
Figure 2 Age-Specific Cluster Carries Signature of Pro-proliferative and Anti-proliferative Stimuli (A) Manual annotation of top 20 marker genes with Ras senescence (RIS), apoptosis (Kirschner et al., 2015), and pStat3 and pStat5 datasets (Lau et al., 2015). Red indicates p53, and green indicates pStat targets. (B) KEGG pathway analysis of marker genes for old-specific cluster. Selected pathways are shown as ratio of enrichment (green indicates pro-proliferative, and red indicates anti-proliferative). (C) GSEA for p53 RIS, apoptosis (Apo), and STAT3 and STAT5 targets. p values and enrichment scores are shown. (D) Schematic of TPO-regulated microarray experiment in HPC7. GSEA of TPO-specific targets and marker gene list. (E) IF quantification of old HSCs for p53Ser15 and/or gH2AX (n = 3; error bars indicate SEM). (F) Quantification of EdU (5-ethynyl-2′-deoxyuridine) incorporation, gH2AX, and p53 in old HSCs (n = 3; error bars indicates SEM). (G) GSEA for lineage markers. ChIP, chromatin immunoprecipitation, MA, microarray; TGF, transforming growth factor; n.s., not significant; nb, number of genes.
Figure 2 Age-Specific Cluster Carries Signature of Pro-proliferative and Anti-proliferative Stimuli (A) Manual annotation of top 20 marker genes with Ras senescence (RIS), apoptosis (Kirschner et al., 2015), and pStat3 and pStat5 datasets (Lau et al., 2015). Red indicates p53, and green indicates pStat targets. (B) KEGG pathway analysis of marker genes for old-specific cluster. Selected pathways are shown as ratio of enrichment (green indicates pro-proliferative, and red indicates anti-proliferative). (C) GSEA for p53 RIS, apoptosis (Apo), and STAT3 and STAT5 targets. p values and enrichment scores are shown. (D) Schematic of TPO-regulated microarray experiment in HPC7. GSEA of TPO-specific targets and marker gene list. (E) IF quantification of old HSCs for p53Ser15 and/or gH2AX (n = 3; error bars indicate SEM). (F) Quantification of EdU (5-ethynyl-2′-deoxyuridine) incorporation, gH2AX, and p53 in old HSCs (n = 3; error bars indicates SEM). (G) GSEA for lineage markers. ChIP, chromatin immunoprecipitation, MA, microarray; TGF, transforming growth factor; n.s., not significant; nb, number of genes.CC BY · PubMed Central
Figure 3 Constitutively Active JAK2 Increases Cell Contribution to the Old-Specific Subpopulation (A) Kinetics of JAK2V617F and WT HSCs. Ratios of JAK2V617F and WT for indicated divisions in young (black) and old (gray) HSCs. Black line denotes WT levels (n = 3; error bars indicate SEM). Mut, mutated. (B) Kinetics data from young (upper row) and old (lower row) WT (blue) and homozygous (Hom) JAK2V671F (red) HSCs. Percentage of all cells upon division (n = 3; error bars indicate SEM). hrs, hours. (C) SC3 clustering of HSC transcriptomes from young (yg; upper orange bars) and old (upper turquoise bars) WT (lower orange bars) and JAK2V617F (lower turquoise bars) mice. Replicates are indicated in green and red. Similarity between cells is indicated from blue to red (identical). (D) SC3 clustering of old HSC transcriptomes from WT and JAK2V617F mice (replicate 1). Overlap with marker genes is given as a percentage. Cell number for old-specific HSCs is given as a percentage of all old HSCs. (E) Immunofluorescent images of old WT and JAK2V617F HSCs stained for pSer15p53 (green), pSer27FosB (red), and DAPI (blue). Bar plots quantify the percentage of double-positive HSCs from indicated mice (n = 3; error bars indicate SEM). (F) SC3 clustering of 1-year-old WT and JAK2V617F HSCs. Similarity between cells is indicated from blue to red (identical). Overlap with marker genes is shown in percentages. (G) Model for relation between proliferation and functional decline of HSCs. Compared are physiological (upper row) against enforced proliferation through JAK2V617F (lower row). Young HSCs in the JAK2 condition expand faster (number of cells) but exhaust more readily upregulating p53- and cyclin-dependent kinase inhibitors (CDKNs; shades of red). Arrow cycle indicates self-renewal.
Figure 3 Constitutively Active JAK2 Increases Cell Contribution to the Old-Specific Subpopulation (A) Kinetics of JAK2V617F and WT HSCs. Ratios of JAK2V617F and WT for indicated divisions in young (black) and old (gray) HSCs. Black line denotes WT levels (n = 3; error bars indicate SEM). Mut, mutated. (B) Kinetics data from young (upper row) and old (lower row) WT (blue) and homozygous (Hom) JAK2V671F (red) HSCs. Percentage of all cells upon division (n = 3; error bars indicate SEM). hrs, hours. (C) SC3 clustering of HSC transcriptomes from young (yg; upper orange bars) and old (upper turquoise bars) WT (lower orange bars) and JAK2V617F (lower turquoise bars) mice. Replicates are indicated in green and red. Similarity between cells is indicated from blue to red (identical). (D) SC3 clustering of old HSC transcriptomes from WT and JAK2V617F mice (replicate 1). Overlap with marker genes is given as a percentage. Cell number for old-specific HSCs is given as a percentage of all old HSCs. (E) Immunofluorescent images of old WT and JAK2V617F HSCs stained for pSer15p53 (green), pSer27FosB (red), and DAPI (blue). Bar plots quantify the percentage of double-positive HSCs from indicated mice (n = 3; error bars indicate SEM). (F) SC3 clustering of 1-year-old WT and JAK2V617F HSCs. Similarity between cells is indicated from blue to red (identical). Overlap with marker genes is shown in percentages. (G) Model for relation between proliferation and functional decline of HSCs. Compared are physiological (upper row) against enforced proliferation through JAK2V617F (lower row). Young HSCs in the JAK2 condition expand faster (number of cells) but exhaust more readily upregulating p53- and cyclin-dependent kinase inhibitors (CDKNs; shades of red). Arrow cycle indicates self-renewal.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 22

  1. Baxter, 2005, Acquired mutation of the tyrosine kinase JAK2 in human myeloproliferative disorders, Lancet, 365, 1054, 10.1016/S0140-6736(05)71142-9 · DOI · Paper page
  2. Beerman, 2010, Stem cells and the aging hematopoietic system, Curr. Opin. Immunol., 22, 500, 10.1016/j.coi.2010.06.007 · DOI
  3. Bernitz, 2016, Hematopoietic stem cells count and remember self-renewal divisions, Cell, 167, 1296, 10.1016/j.cell.2016.10.022 · DOI · Paper page
  4. Chen, 2014, JAK2V617F promotes replication fork stalling with disease-restricted impairment of the intra-S checkpoint response, Proc. Natl. Acad. Sci. USA, 111, 15190, 10.1073/pnas.1401873111 · DOI
  5. Cheng, 2000, Hematopoietic stem cell quiescence maintained by p21cip1/waf1, Science, 287, 1804, 10.1126/science.287.5459.1804 · DOI · Paper page
  6. Dumble, 2007, The impact of altered p53 dosage on hematopoietic stem cell dynamics during aging, Blood, 109, 1736, 10.1182/blood-2006-03-010413 · DOI
  7. Geiger, 2013, The ageing haematopoietic stem cell compartment, Nat. Rev. Immunol., 13, 376, 10.1038/nri3433 · DOI · Paper page
  8. Grover, 2016, Single-cell RNA sequencing reveals molecular and functional platelet bias of aged haematopoietic stem cells, Nat. Commun., 7, 11075, 10.1038/ncomms11075 · DOI
  9. Kanehisa, 2012, KEGG for integration and interpretation of large-scale molecular data sets, Nucleic Acids Res., 40, D109, 10.1093/nar/gkr988 · DOI · Paper page
  10. Kent, 2013, Self-renewal of single mouse hematopoietic stem cells is reduced by JAK2V617F without compromising progenitor cell expansion, PLoS Biol., 11, e1001576, 10.1371/journal.pbio.1001576 · DOI
  11. Kenzelmann Broz, 2013, Global genomic profiling reveals an extensive p53-regulated autophagy program contributing to key p53 responses, Genes Dev., 27, 1016, 10.1101/gad.212282.112 · DOI · Paper page
  12. Kharchenko, 2014, Bayesian approach to single-cell differential expression analysis, Nat. Methods, 11, 740, 10.1038/nmeth.2967 · DOI · Paper page
  13. Kirschner, 2015, Phenotype specific analyses reveal distinct regulatory mechanism for chronically activated p53, PLoS Genet., 11, e1005053, 10.1371/journal.pgen.1005053 · DOI
  14. Kiselev, 2017, SC3: consensus clustering of single-cell RNA-seq data, Nat. Methods, 14, 483, 10.1038/nmeth.4236 · DOI · Paper page
  15. Kowalczyk, 2015, Single-cell RNA-seq reveals changes in cell cycle and differentiation programs upon aging of hematopoietic stem cells, Genome Res., 25, 1860, 10.1101/gr.192237.115 · DOI · Paper page
  16. Land, 2015, The orphan nuclear receptor NR4A1 specifies a distinct subpopulation of quiescent myeloid-biased long-term HSCs, Stem Cells, 33, 278, 10.1002/stem.1852 · DOI · Paper page
  17. Lau, 2015, The JAK-STAT signaling pathway is differentially activated in CALR-positive compared with JAK2V617F-positive ET patients, Blood, 125, 1679, 10.1182/blood-2014-12-618074 · DOI
  18. Li, 2010, JAK2 V617F impairs hematopoietic stem cell function in a conditional knock-in mouse model of JAK2 V617F-positive essential thrombocythemia, Blood, 116, 1528, 10.1182/blood-2009-12-259747 · DOI
  19. Li, 2014, JAK2V617F homozygosity drives a phenotypic switch in myeloproliferative neoplasms, but is insufficient to sustain disease, Blood, 123, 3139, 10.1182/blood-2013-06-510222 · DOI
  20. Park, 2016, Cytokine-induced megakaryocytic differentiation is regulated by genome-wide loss of a uSTAT transcriptional program, EMBO J., 35, 580, 10.15252/embj.201592383 · DOI
  21. Rawlings, 2004, The JAK/STAT signaling pathway, J. Cell Sci., 117, 1281, 10.1242/jcs.00963 · DOI · Paper page
  22. Vainchenker, 2013, JAK/STAT signaling in hematological malignancies, Oncogene, 32, 2601, 10.1038/onc.2012.347 · DOI · Paper page

Cited by

See all 100

Metadata

Authors
Kirschner, K., Chandra, T., Kiselev, V., Flores-Santa Cruz, D., Macaulay, I. C., Park, H. J., Li, J., Kent, D. G., Kumar, R., Pask, D. C., Hamilton, T. L., Hemberg, M., Reik, W., & Green, A. R.
Venue
Cell Reports
Publisher
Elsevier BV
Published
2017-05
Volume
19
Issue
8
Pages
1503-1511
ISSN
2211-1247
Cited by
100
References
12
Language
en
Funders
  • NIHR Cambridge Biomedical Research Centre
  • Wellcome Trust (095645/Z/11/Z)
  • Medical Research Council
  • Biotechnology and Biological Sciences Research Council (BB/K010867/1)
  • Kay Kendall Leukaemia Fund
  • European Commission (104710/Z/14/Z, 13003)

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.

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 ›

Are you an author, or do you see a problem with this page? Request a review