Sequence and Functional Analysis of the Intergenic Regions Separating Babesial Rhoptry-Associated Protein-1 (rap-1)Genes

1998 ◽  
Vol 90 (2) ◽  
pp. 189-194 ◽  
Author(s):  
Carlos E. Suarez ◽  
Guy H. Palmer ◽  
Isidro Hötzel ◽  
Stephen A. Hines ◽  
Terry F. McElwain
Author(s):  
Н.Ю. Маркелова ◽  
N.Yu. Markelova

In the intergenic regions of the Escherichia coli genome there are 356 REP- elements, containing 1-12 repeated sequences with degenerated consensus. Their biological role is poorly understood, but multiplicity in the genome, preferential localization between convergent genes and ability to form hairpin structures have led to the assumption that REP-elements participate in the transcription termination and processes affecting stability of the corresponding RNAs. Though the direct experiments did not confirm the ability of the model REP-sequence to stop RNA synthesis leaving some ambiguity regarding their primary function. In this study, positional and functional analysis was undertaken for the entire set of annotated REP-sequences and the reduced efficiency of RNA synthesis behind the many REP-modules was observed. However, some REP-modules had no effect on the transcription processivity, assuming the inclusion of REP-sequences into RNA and the possibility of their regulatory action. We also observed REP-associated transcription activation and found overlapping promoters. The most unexpected was specific distribution of REP-sequences nearby promoter islands, which indicates their insulator-like action maintaining functional autonomy of the “islands” and assumes functional significance of “island”-born RNAs.


2003 ◽  
Vol 19 (3) ◽  
pp. 164-174 ◽  
Author(s):  
Stephen N. Haynes ◽  
Andrew E. Williams

Summary: We review the rationale for behavioral clinical case formulations and emphasize the role of the functional analysis in the design of individualized treatments. Standardized treatments may not be optimally effective for clients who have multiple behavior problems. These problems can affect each other in complex ways and each behavior problem can be influenced by multiple, interacting causal variables. The mechanisms of action of standardized treatments may not always address the most important causal variables for a client's behavior problems. The functional analysis integrates judgments about the client's behavior problems, important causal variables, and functional relations among variables. The functional analysis aids treatment decisions by helping the clinician estimate the relative magnitude of effect of each causal variable on the client's behavior problems, so that the most effective treatments can be selected. The parameters of, and issues associated with, a functional analysis and Functional Analytic Clinical Case Models (FACCM) are illustrated with a clinical case. The task of selecting the best treatment for a client is complicated because treatments differ in their level of specificity and have unequally weighted mechanisms of action. Further, a treatment's mechanism of action is often unknown.


1958 ◽  
Vol 3 (6) ◽  
pp. 158-160
Author(s):  
LAWRENCE SCHLESINGER

1973 ◽  
Author(s):  
Robert M. Leve ◽  
Lydia Burdick ◽  
Patricia Fontaine

2011 ◽  
Author(s):  
Stella Tamburello ◽  
Paolo Scapellato ◽  
Anna Contardi ◽  
Ettore De Monte ◽  
Loredana Rosiello

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