2010
DOI: 10.1073/pnas.0914748107
|View full text |Cite
|
Sign up to set email alerts
|

Modularity map of the network of human cell differentiation

Abstract: Cell differentiation in multicellular organisms is a complex process whose mechanism can be understood by a reductionist approach, in which the individual processes that control the generation of different cell types are identified. Alternatively, a large-scale approach in search of different organizational features of the growth stages promises to reveal its modular global structure with the goal of discovering previously unknown relations between cell types. Here, we sort and analyze a large set of scattered… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
32
0

Year Published

2011
2011
2022
2022

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 40 publications
(32 citation statements)
references
References 23 publications
0
32
0
Order By: Relevance
“…Multicellular systems can range in many sizes. Perhaps one of the most interesting aspects about multicellular systems, one that fascinates researchers and suggests a strategy for deconstructing multicellular systems into simpler elements, is that a multicellular system can be composed of several other sub-systems, each of which can also be multicellular [18,19]. For example, consider the human brain ( Figure 1A).…”
Section: Breaking Multicellular Systems Into Distinct Functional and mentioning
confidence: 99%
“…Multicellular systems can range in many sizes. Perhaps one of the most interesting aspects about multicellular systems, one that fascinates researchers and suggests a strategy for deconstructing multicellular systems into simpler elements, is that a multicellular system can be composed of several other sub-systems, each of which can also be multicellular [18,19]. For example, consider the human brain ( Figure 1A).…”
Section: Breaking Multicellular Systems Into Distinct Functional and mentioning
confidence: 99%
“…What we have measured and presented here is inherently geometric, revealing the spatial extension of the network in the (continuous) two-dimensional space. The other metric is topological [18,19], which is reminiscent of the Real Space Renormalization Group (RSRG) approach in statistical physics, viz. grouping vertices in the network according to their graphical distance (e.g., nearest-neighbors, second nearest-neighbors, etc.).…”
Section: Box-counting Dimensions and Aspect Ratiosmentioning
confidence: 99%
“…Using their techniques of fractal analysis on networks, they study the biological networks [29][30][31], such as function brain networks.…”
Section: Introductionmentioning
confidence: 99%