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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of DNA methylation changes at cis-regulatory elements during early steps of HSC differentiation using tagmentation-based whole genome bisulfite sequencing
|
|---|---|
| Published in |
Cell Cycle, October 2014
|
| DOI | 10.4161/15384101.2014.973334 |
| Pubmed ID | |
| Authors |
Daniel B Lipka, Qi Wang, Nina Cabezas-Wallscheid, Daniel Klimmeck, Dieter Weichenhan, Carl Herrmann, Amelie Lier, David Brocks, Lisa von Paleske, Simon Renders, Peer Wünsche, Petra Zeisberger, Lei Gu, Simon Haas, Marieke Ag Essers, Benedikt Brors, Roland Eils, Andreas Trumpp, Michael D Milsom, Christoph Plass |
| Abstract |
Abstract Epigenetic alterations during cellular differentiation are a key molecular mechanism which both instructs and reinforces the process of lineage commitment. Within the hematopoietic system, progressive changes in the DNA methylome of hematopoietic stem cells (HSCs) are essential for the effective production of mature blood cells. Inhibition or loss of function of the cellular DNA methylation machinery has been shown to lead to a severe perturbation in blood production and is also an important driver of malignant transformation. HSCs constitute a very rare cell population in the bone marrow, capable of life-long self-renewal and multi-lineage differentiation. The low abundance of HSCs has been a major technological barrier to the global analysis of the CpG methylation status within both HSCs and their immediate progeny, the multipotent progenitors (MPPs). Within this Extra View article, we review the current understanding of how the DNA methylome regulates normal and malignant hematopoiesis. We also discuss the current methodologies that are available for interrogating the DNA methylation status of HSCs and MPPs and describe a new data set that was generated using tagmentation-based whole genome bisulfite sequencing (TWGBS) in order to comprehensively map methylated cytosines using the limited amount of genomic DNA that can be harvested from rare cell populations. Extended analysis of this data set clearly demonstrates the added value of genome-wide sequencing of methylated cytosines and identifies novel important cis-acting regulatory regions that are dynamically remodeled during the first steps of hematopoietic differentiation. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| France | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Unknown | 75 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 24% |
| Student > Ph. D. Student | 14 | 18% |
| Student > Master | 10 | 13% |
| Student > Bachelor | 7 | 9% |
| Student > Doctoral Student | 6 | 8% |
| Other | 10 | 13% |
| Unknown | 11 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 26% |
| Agricultural and Biological Sciences | 20 | 26% |
| Computer Science | 5 | 7% |
| Medicine and Dentistry | 5 | 7% |
| Immunology and Microbiology | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 13 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 October 2018.
All research outputs
#6,409,658
of 22,774,233 outputs
Outputs from Cell Cycle
#660
of 3,682 outputs
Outputs of similar age
#71,095
of 260,462 outputs
Outputs of similar age from Cell Cycle
#335
of 1,253 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 3,682 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 260,462 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 1,253 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.