CoChat
Sign Up
Cited by 709Telomeres, Telomerase, and SenescenceHematopoietic Stem Cell TransplantationGenetics, Aging, and Longevity in Model Organisms

The DOI matches its Crossref record; 51 of the 53 references it cites were found in a registry or an index.

Telomere Fluorescence Measurements in Granulocytes and T Lymphocyte Subsets Point to a High Turnover of Hematopoietic Stem Cells and Memory T Cells in Early Childhood

Open access
Rufer, Nathalie, Brümmendorf, Tim H., Kolvraa, Steen, Bischoff, Claus, Christensen, Kaare, Wadsworth, Louis, Schulzer, Michael, Lansdorp, Peter M.·1999·The Journal of Experimental Medicine
DOI 10.1084/jem.190.2.157PMC PMC2195579
Open this paper in CoChat — free accountOpen PDF

Abstract

To study telomere length dynamics in hematopoietic cells with age, we analyzed the average length of telomere repeat sequences in diverse populations of nucleated blood cells. More than 500 individuals ranging in age from 0 to 90 yr, including 36 pairs of monozygous and dizygotic twins, were analyzed using quantitative fluorescence in situ hybridization and flow cytometry. Granulocytes and naive T cells showed a parallel biphasic decline in telomere length with age that most likely reflected accumulated cell divisions in the common precursors of both cell types: hematopoietic stem cells. Telomere loss was very rapid in the first year, and continued for more than eight decades at a 30-fold lower rate. Memory T cells also showed an initial rapid decline in telomere length with age. However, in contrast to naive T cells, this decline continued for several years, and in older individuals lymphocytes typically had shorter telomeres than did granulocytes. Our findings point to a dramatic decline in stem cell turnover in early childhood and support the notion that cell divisions in hematopoietic stem cells and T cells result in loss of telomeric DNA.

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 · 10.1084/jem.190.2.157

Cites

51 of 51 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Flow FISH analysis of normal human peripheral blood cells. Nucleated cells after lysis of red blood cells from a healthy 32-yr-old donor were analyzed after hybridization with or without FITC-labeled (C3TA2)3 peptide nucleic acid (shaded and open histograms, respectively, in C, D, G, and H). The cells were gated on region 1 (R1) on the basis of propidium iodide (PI) fluorescence and forward light scatter (FSC) as is shown in A. Regions 2 and 3 (R2 and R3) were selected within R1 from forward versus side scatter (SCC) dot plot histograms as is shown in B, E, and F. Results with purified lymphocytes (E and G) and granulocytes (F and H) confirmed the validity of selected light scatter gates R2 and R3 for analysis of unseparated blood cells (B). All parameters were collected on a linear scale. Green fluorescence is expressed in MESF units using calibration beads analyzed at identical instrument settings at the beginning and end of each experiment (data not shown). Note that (i) the fluorescence of gated and purified cells is similar, (ii) granulocytes have a higher autofluorescence than lymphocytes, and (iii) the telomere fluorescence of lymphocytes (C and G) is more heterogeneous than that of granulocytes (D and H), reflecting a more diverse replicative history 22. The telomere fluorescence of cells was calculated by subtracting the mean background fluorescence from the mean fluorescence obtained with the telomere probe as is shown in C, D, G, and H.
Figure 1 Flow FISH analysis of normal human peripheral blood cells. Nucleated cells after lysis of red blood cells from a healthy 32-yr-old donor were analyzed after hybridization with or without FITC-labeled (C3TA2)3 peptide nucleic acid (shaded and open histograms, respectively, in C, D, G, and H). The cells were gated on region 1 (R1) on the basis of propidium iodide (PI) fluorescence and forward light scatter (FSC) as is shown in A. Regions 2 and 3 (R2 and R3) were selected within R1 from forward versus side scatter (SCC) dot plot histograms as is shown in B, E, and F. Results with purified lymphocytes (E and G) and granulocytes (F and H) confirmed the validity of selected light scatter gates R2 and R3 for analysis of unseparated blood cells (B). All parameters were collected on a linear scale. Green fluorescence is expressed in MESF units using calibration beads analyzed at identical instrument settings at the beginning and end of each experiment (data not shown). Note that (i) the fluorescence of gated and purified cells is similar, (ii) granulocytes have a higher autofluorescence than lymphocytes, and (iii) the telomere fluorescence of lymphocytes (C and G) is more heterogeneous than that of granulocytes (D and H), reflecting a more diverse replicative history 22. The telomere fluorescence of cells was calculated by subtracting the mean background fluorescence from the mean fluorescence obtained with the telomere probe as is shown in C, D, G, and H.CC BY-NC-SA · PubMed Central
Figure 2 Loss of telomere fluorescence in lymphocytes and granulocytes from peripheral blood measured by flow FISH. The specific telomere fluorescence of lymphocytes and granulocytes was analyzed after gating on these cells as is shown in Fig. 1. Note the heterogeneity in telomere fluorescence values, the overall decline in telomere fluorescence in both cell types and the higher rate of telomere decline in lymphocytes. Insets show the results of bisegmented fit analysis for cells in the lymphocyte (top) and granulocyte (bottom) gate. Arrows indicate the optimal intersection of calculated regression lines (see also text and Table ).
Figure 2 Loss of telomere fluorescence in lymphocytes and granulocytes from peripheral blood measured by flow FISH. The specific telomere fluorescence of lymphocytes and granulocytes was analyzed after gating on these cells as is shown in Fig. 1. Note the heterogeneity in telomere fluorescence values, the overall decline in telomere fluorescence in both cell types and the higher rate of telomere decline in lymphocytes. Insets show the results of bisegmented fit analysis for cells in the lymphocyte (top) and granulocyte (bottom) gate. Arrows indicate the optimal intersection of calculated regression lines (see also text and Table ).CC BY-NC-SA · PubMed Central
Figure 3 Examples of the changes in cell surface phenotype of CD4+ (top) and CD8+ (bottom) T lymphocytes that occur with age. Note that in early childhood the majority of CD4+ T cells have a CD4+ CD45RA+CD45RO− naive phenotype, whereas in older adults most CD4+ T cells have a CD45RA−CD45RO+ memory phenotype. Similar changes occur in CD8+ T cells. Boxed areas indicate windows that were used to sort cells with the indicated phenotype as well as the gates that were used to calculate the percentage of cells with a given phenotype shown in Table .
Figure 3 Examples of the changes in cell surface phenotype of CD4+ (top) and CD8+ (bottom) T lymphocytes that occur with age. Note that in early childhood the majority of CD4+ T cells have a CD4+ CD45RA+CD45RO− naive phenotype, whereas in older adults most CD4+ T cells have a CD45RA−CD45RO+ memory phenotype. Similar changes occur in CD8+ T cells. Boxed areas indicate windows that were used to sort cells with the indicated phenotype as well as the gates that were used to calculate the percentage of cells with a given phenotype shown in Table .CC BY-NC-SA · PubMed Central
Figure 4 Linear regression analysis of telomere fluorescence and age in subpopulations of peripheral blood T lymphocytes. Subsets of CD4+ and CD8+ T lymphocytes were purified from donors of the indicated age using the sort windows described in Fig. 3. Note the relatively constant difference in telomere fluorescence between naive and memory CD4+ T lymphocytes after the first few years and the increasing difference in telomere fluorescence between CD8+ naive and memory T lymphocytes.
Figure 4 Linear regression analysis of telomere fluorescence and age in subpopulations of peripheral blood T lymphocytes. Subsets of CD4+ and CD8+ T lymphocytes were purified from donors of the indicated age using the sort windows described in Fig. 3. Note the relatively constant difference in telomere fluorescence between naive and memory CD4+ T lymphocytes after the first few years and the increasing difference in telomere fluorescence between CD8+ naive and memory T lymphocytes.CC BY-NC-SA · PubMed Central
Figure 5 Rapid loss of telomere fluorescence in T cell subsets in early childhood. The data over the whole age range shown in Fig. 4 were subjected to bisegmented fit analysis. Arrows indicate the age that resulted in a significantly better fit for most cell types than was obtained by linear regression. Note the similar telomere fluorescence in naive and memory CD4+ and CD8+ T lymphocytes at birth and the relative rapid loss of telomere fluorescence particularly in CD4+ memory T lymphocytes.
Figure 5 Rapid loss of telomere fluorescence in T cell subsets in early childhood. The data over the whole age range shown in Fig. 4 were subjected to bisegmented fit analysis. Arrows indicate the age that resulted in a significantly better fit for most cell types than was obtained by linear regression. Note the similar telomere fluorescence in naive and memory CD4+ and CD8+ T lymphocytes at birth and the relative rapid loss of telomere fluorescence particularly in CD4+ memory T lymphocytes.CC BY-NC-SA · 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

Show all 53 references

Research works printed but not linked: 1

  1. Rosendaal, 1979, Organization of haemopoietic stem cellsthe generation-age hypothesis, Cell Tissue Kinet., 12, 17

Cited by

Sorted by citations

See all 709

Related

Metadata

Authors
Rufer, N., Brümmendorf, T. H., Kolvraa, S., Bischoff, C., Christensen, K., Wadsworth, L., Schulzer, M., & Lansdorp, P. M.
Affiliations
  • aFrom the Terry Fox Laboratory, British Columbia Cancer Research Centre, Vancouver, British Columbia V5Z 1L3, Canada
  • bInstitute of Human Genetics, University of Aarhus, 8000 Aarhus, Denmark
  • Aarhus University (DK)
  • University of Southern Denmark (DK)
  • University of British Columbia (CA)
ORCID
Venue
The Journal of Experimental Medicine
Publisher
Rockefeller University Press
Published
1999-07-19
Volume
190
Issue
2
Pages
157-168
ISSN
  • 0022-1007 (ISSN-L)
  • 1540-9538
DOI
10.1084/jem.190.2.157
PMC
PMC2195579
OpenAlex
W2064651531
Cited by
709
References
53
Citations by year
2026: 8 · 2025: 8 · 2024: 17 · 2023: 21 · 2022: 45 · 2021: 24 · 2020: 17 · 2019: 18 · 2018: 25 · 2017: 21 · 2016: 16 · 2015: 30 · 2014: 21 · 2013: 19 · 2012: 31
FWCI
18.55
Type
journal article
Language
en
Open access
Locations
  • The Journal of Experimental Medicine (publishedVersion)
  • PubMed Central (publishedVersion, cc-by-nc-sa)
  • PubMed (publishedVersion)
  • SERVAL (Université de Lausanne) (publishedVersion, cc-by-nc-sa)
  • IRIS (submittedVersion, cc-by-nc-sa)
  • University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion)
Funders
  • National Research Foundation
  • Deutsche Forschungsgemeinschaft
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
  • Danmarks Grundforskningsfond (PO1-AG08761)
  • National Institutes of Health (1r01gm056162-01)
  • National Institute on Aging (PO1-AG08761, NIA-PO1-AG08761, P01AG008761)
  • National Cancer Institute
  • National Institute of General Medical Sciences (GM56162)
  • National Institute of Allergy and Infectious Diseases (AI 29524, R21AI029524, R01AI029524)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
  • Health Sciences › Medicine › Hematology › Hematopoietic Stem Cell Transplantation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
Keywords
telomere length, hematopoietic stem cells, memory T cells, naive T cells, granulocytes, aging, cell division, early childhood, telomere shortening
MeSH terms
Adolescent, Adult, Aged, Aged, 80 and over, Aging, Child, Child, Preschool, Female, Flow Cytometry, Granulocytes, Hematopoietic Stem Cells, Humans, Immunologic Memory, Infant, Infant, Newborn, Male, Middle Aged, Twins, Dizygotic, Twins, Monozygotic, T-Lymphocyte Subsets, Telomere, In Situ Hybridization, Fluorescence, Terminal Repeat Sequences

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