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Date: (13-03-09) Pages: () |
Abstract: T cell recognition of allopeptides in context of syngeneic MHC. Liu Z, Braunstein NS, Suciu-Foca N. College of Physicians and Surgeons, Columbia University, New York, NY 10032. We have analyzed the ability of T cells to recognize peptides corresponding in sequence to an allogeneic HLA-DR molecule, in context of syngeneic MHC. PBMC from a responder with the HLA-DR beta 1*1101/DR beta 1*1201 genotype were stimulated in vitro with a mixture of four synthetic peptides derived from the first domain of the DR beta 1*0101 chain (amino acid residue 1-20, 21-42, 43-62, and 66-90). An alloreactive T cell line, TCL-LS, which proliferates only in response to peptide 21-42 presented by HLA-DR beta 1*1101, was obtained. The blastogenic response of the line was inhibited by anti-HLA-DR and CD4 antibodies but was not affected by antibodies to HLA-DQ, HLA-DP, HLA-ABC, and CD8. In the presence of irradiated, autologous APC, TCL-LS displayed specific proliferative responses to stimulating cells obtained from individuals carrying the DR beta 1*0101 allele. In the absence of autologous APC, TCL-LS recognized HLA-DR1 on allogeneic cells only when expressed together with HLA-DR beta 1*1101, the restrictive element. This indicates that TCL-LS recognizes processed HLA-DR1 molecule presented as nominal Ag. Study of TCR-V beta gene repertoire expressed by TCL-LS showed that only two V beta genes were used (V beta 13.2 and V beta 12). Two T cell clones (TCC) derived from this line, TCC-A5 and B4, exhibited a similar pattern of reactivity and expressed V beta 13.2. These results indicate that T cells recognizing peptides, which are derived from the breakdown of allogeneic MHC class II proteins and are presented by self-HLA-DR molecules, participate in allorecognition. PM ID: 1530797 [PubMed - indexed for MEDLINE]
Many CAD-based recognition systems have relied on accurate pose estimation and back-projection in order to verify weak correspondences between simple image and model features. This coupling of recognition and localization requires object models which capture the exact geometry of the object, precluding the recogni-lion of generic objects in less restricted domains. In this paper, we synthesize a new approach to 3-0 object shape recovery which decouples the processes of recog-nizing and localizing objects. We first use qualitative shape recovery...
This paper discusses how local measurements of three-dimensional pool[ions and surface normals (recorded by a set of tactile sensors, or by threedimensional range sensors), may be used o identify and locate objects, from among a set, of known objects. The objects are modeled as po!yhedra having up to six degrees of freedom relative to the sensors. We show tiat inconsistent, hypotheses about pairings between sensed points and object, surfaces can be discarded efficiently by using local constraints on: distoances bet,ween faces, angles betwee, fa...
This paper discusses how local measurements of three-dimensional pool[ions and surface normals (recorded by a set of tactile sensors, or by threedimensional range sensors), may be used o identify and locate objects, from among a set, of known objects. The objects are modeled as po!yhedra having up to six degrees of freedom relative to the sensors. We show tiat inconsistent, hypotheses about pairings between sensed points and object, surfaces can be discarded efficiently by using local constraints on: distoances bet,ween faces, angles betwee, fa...