1. CREDIT SEMINAR
DNA methylation signature
for tracing Human stem cell
lineages during development
Speaker :
NIKUNJ TYAGI
Ph.D Scholar
2. Content
Introduction
Epigenetics & stem cell differentiation
Dynamism of CpG Methylation
Effect of epigenetic drug treatment
FCO signature
Analytical pipeline
Validation of FCO signature
Dynamics of FCO signature
Conclusion
References
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3. Introduction
2
• Lineage tracing –A Powerful Tool.
• Criteria of a lineage tracer.
• Direct Observation
Advantages- Noninvasive.
Disadvantage - Requires a transparent embryo
When cell-fate decisions are not autonomous.
Accessibility of the tissues
Naturally occurring epigenetic marks such as DNA methylation
provide a promising alternative
4. Epigenetics & Stem cell Differentiation
• Key Players are histone modifications and DNA methylation
• Cellular identity is indeed close reflection of cellular epigenetic status
• The requirements for cellular differentiation of an stem cell are a loss of
proliferation potential and a gain of cell-type identity.
• Works in harmony ,to affect expression profiles of stem cells
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6. Dynamism of CpG Methylation
• DNA methylation in the sequence of 5’-CpG-3’ is critical.
• 1-2% of the genome comprises CpG islands ,70% of Cytosine residues are
methylated
• Involved in transcriptional silencing and developmental processes
• High-throughput strategies demonstrate that human ES cells have a unique CpG
methylation signature
• Silencing of pluripotency-related genes occurs by means of CpG promoter
hyper methylation
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7. DNA methylation and stemness
In ES cells and multipotent progenitor cells, HCP promoters are characterized by low
DNA methylation levels, whereas LCP promoters are enriched in DNA methylation
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8. Effects on differentiation potential of multipotent/pluripotent stem
cells after treatment with epigenetic drugs
Stem cell classification Epigenetic drug Differentiation after
treatment
Multipotent stem cells
Adipose-derived stem cells 5-aza-2'-deoxycytidine Cardiomyocytes
Adipose-derived stem cells 5-aza-2'-deoxycytidine;
trichostatin A
Cardiomyocytes
Bone marrow mesenchymal
stem cells
5-aza-2'-deoxycytidine Osteocytes
Pluripotent stem cells
Embryonic stem cells 5-aza-2'-deoxycytidine Cardiomyocytes
Embryonic stem cells 5-aza-2'-deoxycytidine Endothelial cells
Embryonic stem cells Trichostatin A Cardiomyocytes
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9. Embryonic and adult hematopoietic stem cells contain methylated CpG
loci that are unique to each of these types of stem cells but that are
invariant with respect to the lineage specification of their progeny.
Hypothesis
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11. FCO Signature
• Common invariant biomarker of a cell that originated during the
prenatal period.
• A subset of CpGs represent differentially methylated
regions(DMRs), common among cell lineage subtypes.
• But different among fetal and adult progenitors.
Can be applied to trace proportion of cells in a mixture of cell types
that are of fetal cell origin
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13. Selection of invariant loci for the fetal cell origin-FCO signature
Panel B, the reduced library (27 CpGs), showed strong separation of
UCB and APB samples, however the residual variability from cell
type was attenuated.
Lucas A. Salas et al. Genome Res. 2018;28:1285-1295 12
15. Discovery (A) and replication (B) of the deconvolution algorithm using lineage-invariant, CpG loci
in new born and adult peripheral blood leukocytes.
Lucas A. Salas et al. Genome Res. 2018;28:1285-1295
Proportion of cells exhibiting FCO signature is higher
in cord blood samples, mean(SD) 85.4%(6.0)
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17. Methylation signature deconvolution in pluripotent, fetal progenitors, and
adult CD34+ stem/progenitor cells
Lucas A. Salas et al. Genome Res. 2018;28:1285-1295
Concordance of the leukocyte-derived FCO signature, mean (SD) 75.9% (8.5)
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18. Estimation of FCO in ESC and iPSC through different number of cell
culture passages
Reduction of 0.14% on average for every additional passage
Lucas A. Salas et al. Genome Res. 2018;28:1285-1295 16
19. FCO Signature as an indicator of ESC Lineage
Lucas A. Salas et al. Genome Res. 2018;28:1285-1295 17
High FCO fraction in diverse fetal tissues (3-26 weak of gestational age)
20. Dynamics of FCO Signature with gestational age
Lucas A. Salas et al. Genome Res. 2018;28:1285-1295 18
21. FCO methylation signature deconvolution in blood leukocytes
sampled at birth through childhood and adult ages
Lucas A. Salas et al. Genome Res. 2018;28:1285-1295
Dramatic and rapid decrease in the FCO cell fraction occurred over the
first 5 yrs. of life
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22. Conclusion
• This work defined and applied a DNA methylation signature common among
human fetal hematopoietic progenitor cells.
• It has also shown that this signature traces the lineage of cells and informs the
study of stem cell heterogeneity in humans under homeostatic conditions.
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23. References
• Salas et al.: Tracing human stem cell lineage during development using DNA
methylation. Genome research 2018, 28:1285-1295
• Sørensen AL, Jacobsen BM, Reiner AH, Andersen IS, Collas P: Promoter
DNA methylation patterns of differentiated cells are largely programmed at the
progenitor stage. Mol Biol Cell 2010, 21: 2066-2077
• Berdasco María and Esteller Manel : DNA methylation in stem cell renewal
and multipotency. Stem Cell Research & Therapy 2011, 2:42
• Fouse et al. Promoter CpG Methylation Contributes to ES Cell Gene
Regulation in Parallel with Oct4/Nanog,PcG Complex, and Histone H3 K4/K27
Trimethylation. Cell stem cell 2007, 2:160-169
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24.
25. We hypothesized that invariant
methylation marks with high potential to be indicative
of a FCO would be differentially methylated in newborns compared
with adults and shared across six major blood cell lineages
(granulocytes [Gran], monocytes [Mono], B lymphocytes [Bcell],
CD4+ T lymphocytes [CD4T], CD8+ T lymphocytes [CD8T], and
natural killer lymphocytes [NK]).
26. DIRECT TRACING
• lineage-tracing experiment always needs to fulfill the following three
requirements: (1) A careful assessment of the cells that are marked at the initial
timepoint, so that the starting populations are clearly defined. (2) The markers
used to mark the cells remain exclusively in the original cells and their progeny
and will not diffuse to the neighboring cells. (3) These markers are sufficiently
stable and are not toxic to the cells during the entire tracing period.
• The advantages of lineage tracing by direct observation include the speed and
ease of establishing the technique and the fact that it is noninvasive. A major
limitation is that, for an intact organism, continuous observation requires a
transparent embryo with a small number of cells. It is also harder to interpret
results when cell-fate decisions are not autonomous. The tissue to be studied
must also be accessible, which precludes studies of postimplantation
mammalian embryos, unless the cells or embryos are placed in culture, which
potentially alters their behavior. Nevertheless, the transparency of zebrafish
(Danio rerio) embryos has enabled lineage analysis by direct observation to be
performed during early vertebrate development
27. Suzuki, M. M., & Bird, A. (2008). DNA methylation landscapes: provocative insights from
epigenomics. Nature Reviews Genetics, 9(6), 465–476. doi:10.1038/nrg2341
Discovery (A) and replication (B) of the deconvolution algorithm using lineage-invariant, developmentally sensitive CpG loci in newborn and adult peripheral blood leukocytes. Estimated mean percentage (standard deviation [SD]) FCO methylation fractions are 85.4% (6.0) for umbilical cord blood (UCB) and 0.6% (1.7) for peripheral
adult blood in A; P = 2.11 × 10−191. In the replication (B), estimated FCO methylation fractions are 89.9% (3.8) for UCB and 2.0% (3.5) for peripheral adult blood; P = 8.35 × 10−81.
Developmentally sensitive methylation signature deconvolution in pluripotent, fetal progenitors, and adult CD34+ stem/progenitor cells. Mean (SD) estimated FCO methylation fractions for embryonic/fetal cells are 75.9% (8.5) and 4.4% (5.1) for adult progenitors (bone marrow); P = 1.81 × 10−86. In the boxplots: (1) The box shows the interquartile range (IQR), (2) the whiskers show the inner fences (1.5 × IQR out of the box), (3) the bolded line shows the median of the data, and the notches-horns display the 95% confidence interval of the median. (ESC) Embryonic stem cells; (iPSC) induced pluripotent stem cells; (CD34+ fetal) fresh cord blood cells expressing CD34+; (erythroid fetal) fetal liver CD34+ cells, differentiated ex vivo to express transferrin receptor and glycophorin; (CD34+ adult) bone marrow expressing CD34+ CD38− CD90+ CD45RA−; (MPP) multipotent progenitors; (L-MPP) lymphoid primed multipotent progenitors; (CMP) common myeloid progenitors; (GMP) granulocyte/macrophage progenitors; (MEP) megakaryocyte-erythroid progenitors; (erythroid adult) adult bone marrow CD34+ cells, differentiated ex vivo to express transferrin receptor and glycophorin; (PMC) promyelocyte/myelocyte; (PMN) metamyelocyte/band-myelocyte.
FCO methylation signature deconvolution in fetal/embryonic and adult tissues. Panel A compares the estimated FCO methylation fraction between fetal/embryonic and adult tissues. In the boxplots: (1) The box shows the interquartile range (IQR), (2) the whiskers show the inner fences (1.5 × IQR out of the box), (3) the bolded line shows the median of the data, and the notches-horns display the 95% confidence interval of the median. Panel B compares the estimated mean FCO methylation signature in three fetal/embryonic tissues in four gestational periods: Brain and muscle showed a marked reduction of the signature after the 15th week of gestational age. In contrast, fetal/embryonic liver showed a persistently high level of the FCO signature.
FCO methylation signature deconvolution in blood leukocytes sampled at birth through childhood and adult ages. Panel A shows the loess smoothing curve across different ages ranging from newborn to 101 yr. In the top subplot of the panel is an enlarged depiction of the marked decrease of the fraction of cells showing the FCO signature during the first 18 yr of life. Panel B summarizes the reduction of the FCO signature at different age intervals. In the boxplots: (1) The box shows the interquartile range (IQR), (2) the whiskers show the inner fences (1.5 × IQR out of the box), (3) the bolded line shows the median of the data, and the notches-horns display the 95% confidence interval of the median.