2016
DOI: 10.1186/s12977-015-0235-8
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Myristoylation drives dimerization of matrix protein from mouse mammary tumor virus

Abstract: BackgroundMyristoylation of the matrix (MA) domain mediates the transport and binding of Gag polyproteins to the plasma membrane (PM) and is required for the assembly of most retroviruses. In betaretroviruses, which assemble immature particles in the cytoplasm, myristoylation is dispensable for assembly but is crucial for particle transport to the PM. Oligomerization of HIV-1 MA stimulates the transition of the myristoyl group from a sequestered to an exposed conformation, which is more accessible for membrane… Show more

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Cited by 9 publications
(17 citation statements)
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“…A third interesting tool is RetroTector, a software developed for the automated recognition of the best-preserved proviral sequences in the genome of vertebrates [ 45 , 46 ]. The HERV recognition process through RetroTector led to a related study that analyzed the human genome assembly GRCh 37/hg19, identifying, characterizing and classifying a total of 3173 HERV sequences [ 3 ]. The classification work, based on a multiple approach, split the HERV proviruses into 39 well-supported phylogenetic groups, belonging to the retroviral classes I (Gamma- and Epsilon-like), II (Beta-like), and III (Spuma-like) [ 3 ].…”
Section: Identification Of Hervs In the Human Genomementioning
confidence: 99%
See 4 more Smart Citations
“…A third interesting tool is RetroTector, a software developed for the automated recognition of the best-preserved proviral sequences in the genome of vertebrates [ 45 , 46 ]. The HERV recognition process through RetroTector led to a related study that analyzed the human genome assembly GRCh 37/hg19, identifying, characterizing and classifying a total of 3173 HERV sequences [ 3 ]. The classification work, based on a multiple approach, split the HERV proviruses into 39 well-supported phylogenetic groups, belonging to the retroviral classes I (Gamma- and Epsilon-like), II (Beta-like), and III (Spuma-like) [ 3 ].…”
Section: Identification Of Hervs In the Human Genomementioning
confidence: 99%
“…The HERV recognition process through RetroTector led to a related study that analyzed the human genome assembly GRCh 37/hg19, identifying, characterizing and classifying a total of 3173 HERV sequences [ 3 ]. The classification work, based on a multiple approach, split the HERV proviruses into 39 well-supported phylogenetic groups, belonging to the retroviral classes I (Gamma- and Epsilon-like), II (Beta-like), and III (Spuma-like) [ 3 ]. Interestingly, an additional 31 noncanonical HERV groups were identified, revealing a high degree of mosaicism [ 3 ].…”
Section: Identification Of Hervs In the Human Genomementioning
confidence: 99%
See 3 more Smart Citations