Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
12
pubmed:dateCreated
1995-7-12
pubmed:abstractText
Replication-incompetent retroviral vectors encoding histochemical reporter genes have been used for studying lineal relationships in a variety of species. A crucial element in the interpretation of data generated by this method is the identification of sibling relationships, or clonal boundaries. The use of a library of viruses in which each member is unique can greatly facilitate this aspect of the analysis. A previously reported murine retroviral library containing about 80 members demonstrated the utility of the library approach. However, the relatively low number of tags in the murine library necessitated using low infection rates in order to give confidence in clonal assignments. To obviate the need for low infection rates, a far more complex library was created and characterized. The CHAPOL library was constructed such that each member encodes a histochemical reporter gene and has a DNA tag derived from a degenerate oligonucleotide pool synthesized to have a complexity of > 1 x 10(7). The library was tested after infection of cells in vitro or in vivo. The DNA tag from each histochemically labeled cell or clone of cells was recovered by PCR and sequenced for unambiguous identification. Three hundred and twenty tags have been identified after infection, and so far no tag has been seen to result from more than one independent infection. Thus, an equal distribution of inserts is suggested, and Monte Carlo analysis predicts a complexity of > 10(4) members.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-1411527, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-1411530, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-1632968, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-1731342, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-1734520, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-2088716, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-2104984, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-2111464, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-2163263, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-2447226, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-2471334, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-2821185, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-3078410, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-3137660, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-3332258, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-3600789, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-7813785, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-8185941, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-8187632, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-8231895, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-8455633, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-8464514, http://linkedlifedata.com/resource/pubmed/commentcorrection/7777573-8491198
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0027-8424
pubmed:author
pubmed:issnType
Print
pubmed:day
6
pubmed:volume
92
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
5704-8
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
1995
pubmed:articleTitle
Construction and characterization of a highly complex retroviral library for lineage analysis.
pubmed:affiliation
Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't