Editing Regulome

{{Short description|Regulatory components of a living cell}}
'''Regulome''' refers to the whole set of regulatory components in a [[cell (biology)|cell]].<ref>{{cite book |last1=Singh |first1=Prithipal |title=Biodiversity, Conservation and Systematics |date=2019 |publisher=Scientific Publishers |isbn=9388449738 |page=209}}</ref> Those components can be regulatory elements, [[gene]]s, [[mRNA]]s, [[protein]]s, and [[metabolite]]s. The description includes the interplay of regulatory effects between these components, and their dependence on variables such as [[subcellular localization]], [[Biological tissue|tissue]], developmental stage, and pathological state.

== Components ==

One of the major players in cellular regulation are [[transcription factor]]s, proteins that regulate the expression of genes.<ref>{{cite journal |last1=Lee |first1=Tong Ihn|last2=Young |first2=Richard A.|title=Transcriptional Regulation and Its Misregulation in Disease |journal=Cell |date=March 2013 |volume=152 |issue=6 |pages=1237–1251 |doi=10.1016/j.cell.2013.02.014|pmc=3640494|hdl=1721.1/103908 |hdl-access=free }}</ref> Other proteins that bind to transcription factors to form [[Transcription preinitiation complex|transcriptional complexes]] might modify the activity of transcription factors, for example blocking their capacity to bind to a [[promotor (biology)|promoter]].

[[Signaling pathway]]s are groups of proteins that produce an effect in a chain that transmit a signal from one part of the cell to another part, for example, linking the presence of substance at the exterior of the cell to the activation of the expression of a gene.

== Measuring ==

High-throughput technologies for the analysis of biological samples (for example, [[DNA microarray]]s, [[proteomics]] analysis) allow the measurement of thousands of biological components such as mRNAs, proteins, or metabolites.<ref>{{cite web |title=Technologies used in functional genomic studies {{!}} Functional genomics |url=https://www.ebi.ac.uk/training/online/courses/functional-genomics-introduction-embl-ebi-resource/what-is-functional-genomics/technologies-used-in-functional-genomic-studies/ |access-date=30 September 2021 |language=en}}</ref> [[Chromatin immunoprecipitation]] of transcription factors can be used to map transcription factor binding sites in the genome.<ref>{{cite journal |last1=Collas |first1=Philippe |title=The Current State of Chromatin Immunoprecipitation |journal=Molecular Biotechnology |date=May 2010 |volume=45 |issue=1 |pages=87–100 |doi=10.1007/s12033-009-9239-8}}</ref>

Such techniques allow researchers to study the effects of particular substances and/or situations on a cellular sample at a genomic level (for example, by addition of a drug, or by placing cells in a situation of stress). The information obtained allows parts of the regulome to be inferred.

== Modeling ==

One of the objectives of [[systems biology]] is the modeling of biological processes using [[mathematics]] and [[computer simulation]].<ref>{{cite journal |last1=Tavassoly |first1=Iman |last2=Goldfarb |first2=Joseph |last3=Iyengar |first3=Ravi |title=Systems biology primer: the basic methods and approaches |journal=Essays in Biochemistry |date=26 October 2018 |volume=62 |issue=4 |pages=487–500 |doi=10.1042/EBC20180003}}</ref> The production of data from techniques of genomic analysis is not always amenable to interpretation mainly due to the complexity of the data and the large number of data points. Modeling can handle the data and allow to test a hypothesis (for example, gene A is regulated by protein B) that can be verified experimentally.

== Applications ==

The complete knowledge of the regulome will allow researchers to model cell behaviour entirely. This will facilitate the [[drug design|design of drugs]] for therapy,<ref>{{cite web |title=An integrated systems-level framework for deciphering multidrug resistant epilepsy. |url=https://gtr.ukri.org/projects?ref=MR%2FS02638X%2F1 |access-date=30 September 2021}}</ref> the control of [[stem cell]] differentiation, and the prognosis of [[disease]].

==See also==
{{Div col|colwidth=22em}}
* [[Genome]]
* [[Proteome]]
* [[Cytome]]
* [[Bioinformatics]]
* [[Systems biology]]
* [[DNA microarray]]
* [[Mass spectrometry]]
* [[2-D electrophoresis]]
* [[Protein engineering]]
* [[Swiss-Prot]]
* [[List of omics topics in biology]]
{{div col end}}

==References==
{{reflist}}

[[Category:Systems biology]]
[[Category:Bioinformatics]]