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gammadelta T lymphocytes in the intestinal intraepithelial layer (gammadelta IELs) are thought to contribute to immune competence, but their actual function remains poorly understood. Here we used DNA microarrays to study the gene expression profile of gammadelta IELs in a Yersinia infection system to better define their roles. To validate this approach, mesenteric lymph node CD8(+) alphabeta T cells were similarly analyzed. The transcription profiles show that, whereas lymph node CD8(+) alphabeta T cells must be activated to become cytotoxic effectors, gammadelta IELs are constitutively activated and appear to use different signaling cascades. Our data suggest that gammadelta IELs may respond efficiently to a broad range of pathological situations irrespective of their diverse T cell antigen receptor repertoire. gammadelta IELs may modulate local immune responses and participate in intestinal lipid metabolism, cholesterol homeostasis, and physiology. This study provides a strong basis for further investigations of the roles of these cells as well as mucosal immune defense in general.

Efficient (linear time) algorithms are described for identifying global molecular sequence features allowing for errors including repeats, matches between sequences, dyad symmetry pairings, and other sequence patterns. A multiple sequence alignment algorithm is also described. Specific applications are given to hepatitis B viruses and the J5-C (J, joining; C, constant) region of the immunoglobulin kappa gene.

Four categories of data representations are used to help interpret structures and similarities of nucleic acid and protein sequences. Statistical significance of the observed relationships revealed by these representations are assessed by a hierarchy of permutation procedures and by comparisons with theoretical random models. Applications are presented for various DNA sequences including papovaviruses, Epstein-Barr virus, mitochondrial genomes, and several globin and immunoglobulin genes.

We compare the amino acid sequences of the constant domains of the immunoglobulin kappa chain of human, mouse, and rabbit by using four classification schemes ("alphabets") of the 20 amino acids based on their chemical, functional, charge, and structural properties. The comparison reveals three regions of pronounced similarity across the three species, independent of allotype. Two of these regions (residues 65-73 and 99-103) entail a high degree of identity at the DNA level and are distinguished from the rest of the constant domain in codon usage and in the dinucleotide sequence at abutting sites of adjacent codons. Residues 22-29 are highly conserved among the three species in the chemical and functional alphabets but do not show any three-sequence significant amino acid block identities. These results are discussed in terms of transcript processing, effector functions, and structural interactions within the constant domain and with the heavy chain.

A new high-speed computer algorithm is outlined that ascertains within and between nucleic acid and protein sequences all direct repeats, dyad symmetries, and other structural relationships. Large repeats, repeats of high frequency, dyad symmetries of specified stem length and loop distance, and their distributions are determined. Significance of homologies is assessed by a hierarchy of permutation procedures. Applications are made to papovaviruses, the human papillomavirus HPV, lambda phage, the human and mouse mitochondrial genomes, and the human and mouse immunoglobulin kappa-chain genes.

Concepts and methods [Karlin, S. & Ghandour, G. (1985) Proc. Natl. Acad. Sci. USA 82, 5800-5804] for the analysis of patterns and relationships are extended to multiple DNA and protein sequences. Functionals include multiple sequence common word occurrence distributions, characterizations of high frequency shared words, and ascertainment of long block identities. Various comparisons of sequences using natural alphabets obtained from grouping nucleotides or amino acids by their chemical and functional characteristics are described. Specific applications are given to globin genes, mitochondrial genomes, and a variety of mammalian viruses.