James L. Holloway

Molecular cloning, chromosome mapping and characterization of a testis-specific cystatin-like cDNA, cystatin T

The cystatin superfamily of cysteine proteinase inhibitors consists of three major families. In the present study, we report the cloning of the cDNA for mouse cystatin T, which is related to family 2 cystatins. The deduced amino acid sequence of cystatin T contains regions of significant sequence homology including the four highly conserved cysteine residues in exact alignment with all cystatin family 2 members. However, cystatin T lacks some of the conserved motifs believed to be important for inhibition of cysteine proteinase activity. These characteristics are seen in two other recently cloned genes, CRES and Testatin. Thus, cystatin T appears to be the third member of the CRES/Testatin subgroup of family 2 cystatins. The mouse cystatin T gene was mapped on a region of chromosome 2 that contains a cluster of cystatin genes, including cystatin C and CRES. Northern blot analysis demonstrated that expression of mouse cystatin T is highly restricted to the mouse testis. Thus, a shared characteristic of the cystatin family 2 subgroup members is an expression pattern limited primarily to the male reproductive tract.

Walking tree heuristics for biological string alignment, gene location, and phylogenies

Basic biological information is stored in strings of nucleic acids (DNA, RNA) or amino acids (proteins). Teasing out the meaning of these strings is a central problem of modern biology. Matching and aligning strings brings out their shared characteristics. Although string matching is well-understood in the edit-distance model, biological strings with transpositions and inversions violate this model’s assumptions. We propose a family of heuristics called walking trees to align biologically reasonable strings. Both edit-distance and walking tree methods can locate specific genes within a large string when the genes’ sequences are given. When we attempt to match whole strings, the walking tree matches most genes, while the edit-distance method fails. We also give examples in which the walking tree matches substrings even if they have been moved or inverted. The edit-distance method was not designed to handle these problems. We include an example in which the walking tree “discovered” a gene. Calculating scor...