| Title |
Genome-wide mapping of chromatin state of mouse forelimbs
|
|---|---|
| Published in |
Open access bioinformatics, September 2014
|
| DOI | 10.2147/oab.s59043 |
| Pubmed ID | |
| Authors |
Diana Eng, Walter K Vogel, Nicholas S Flann, Michael K Gross, Chrissa Kioussi |
| Abstract |
Cell types are defined at the molecular level during embryogenesis by a process called pattern formation and created by the selective utilization of combinations of sequence specific transcription factors. Developmental programs define the sets of genes that are available to each particular cell type, and real-time biochemical signaling interactions define the extent to which these sets are used at any given time and place. Gene expression is regulated through the integrated action of many cis-regulatory elements, including core promoters, enhancers, silencers, and insulators. The chromatin state in developing body parts provides a code to cellular populations that direct their cell fates. Chromatin profiling has been a method of choice for mapping regulatory sequences in cells that go through developmental transitions. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 7% |
| Italy | 1 | 7% |
| Unknown | 12 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 21% |
| Other | 2 | 14% |
| Student > Ph. D. Student | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Professor | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 50% |
| Agricultural and Biological Sciences | 3 | 21% |
| Social Sciences | 1 | 7% |
| Unknown | 3 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 December 2014.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from Open access bioinformatics
#5
of 10 outputs
Outputs of similar age
#181,870
of 248,753 outputs
Outputs of similar age from Open access bioinformatics
#1
of 1 outputs
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