Nanda Rodrigues

The Dual Specificity Phosphatases M3/6 and MKP-3 Are Highly Selective for Inactivation of Distinct Mitogen-activated Protein Kinases

The mitogen-activated protein (MAP) kinase family includes extracellular signal-regulated kinase (ERK), c-Jun NH2-terminal kinase/stress-activated protein kinase (JNK/SAPK) and p38/RK/CSBP (p38) as structurally and functionally distinct enzyme classes. Here we describe two new dual specificity phosphatases of the CL100/MKP-1 family that are selective for inactivating ERK or JNK/SAPK and p38 MAP kinases when expressed in COS-7 cells. M3/6 is the first phosphatase of this family to display highly specific inactivation of JNK/SAPK and p38 MAP kinases. Although stress-induced activation of p54 SAPKβ, p46 SAPKγ (JNK1) or p38 MAP kinases is abolished upon co-transfection with increasing amounts of M3/6 plasmid, epidermal growth factor-stimulated ERK1 is remarkably insensitive even to the highest levels of M3/6 expression obtained. In contrast to M3/6, the dual specificity phosphatase MKP-3 is selective for inactivation of ERK family MAP kinases. Low level expression of MKP-3 blocks totally epidermal growth factor-stimulated ERK1, whereas stress-induced activation of p54 SAPKβ and p38 MAP kinases is inhibited only partially under identical conditions. Selective regulation by M3/6 and MKP-3 was also observed upon chronic MAP kinase activation by constitutive p21ras GTPases. Hence, although M3/6 expression effectively blocked p54 SAPKβ activation by p21rac (G12V), ERK1 activated by p21ras (G12V) was insensitive to this phosphatase. ERK1 activation by oncogenic p21ras was, however, blocked totally by co-expression of MKP-3. This is the first report demonstrating reciprocally selective inhibition of different MAP kinases by two distinct dual specificity phosphatases.

Crosses of NOD Mice With the Related NON Strain: A Polygenic Model for IDDM

Chromosome locations of non-major histocompatibility complex (MHC) genes contributing to insulin-dependent diabetes mellitus (IDDM) in mice have been determined by outcrossing NOD mice to other inbred strains congenic for the NOD MHC haplotype (H2g7). At least nine non-MHC IDDM susceptibility genes (Idd) were previously identified at first backcross (BC1) after outcross of NOD to C57BL/10.H2g7 congenic mice (B10.H2g7). We investigated whether the same set of Idd loci segregated with IDDM susceptibility after outcross of NOD to NON.H2g7 congenic mice. Since the outcrosses to NON.H2g7 and B10.H2g7 were performed in the same vivarium, direct comparisons were made of the chromosomal locations and relative strengths of Idd alleles in diabetic progeny from the two different outcrosses. In comparison with the NOD x B10.H2g7 outcross, the NOD x NON.H2g7 outcross produced significantly higher IDDM frequencies in F1, F2, and BC1 generations. The high F2 diabetes frequency allowed evaluation of the effects of homozygous expression of both the susceptibility and the resistance allele at Idd loci. This analysis demonstrated that no single non-MHC Idd locus was essential for the onset of diabetes in this cross. After outcross to NON.H2g7, Idd4 (chromosome [Chr] 11), Idd5 (Chr 1), and Idd8 (Chr 14) did not segregate with IDDM in either the BC1 or the F2 generation. Diabetogenic NOD-derived alleles at Idd2 (Chr 9), Idd3 (Chr 3), and Idd10 (Chr 3) were segregating in the BC1. An NON-derived allele contributing to susceptibility on Chr 7 (Idd7) was also detected. Dominant traits, detectable only in the F2 cross, were encoded by Chr 4 (Idd9) and two newly mapped loci on Chr 13 (Idd14) and 5 (Idd15). A third dominant trait was encoded by Chr 6 (possibly Idd6), but here, in contrast to Idd9, Idd14, and Idd15, the NON allele was diabetogenic. Stepwise logistic regression analysis of the BC1 and F2 data confirmed that the ability to identify certainty of the non-MHC Idd loci was contingent on the extent of homozygosity for NOD background genes. This study shows that the diabetogenic phenotype can be achieved through the actions of variable combinations of MHC-unlinked genes and a diabetogenic MHC haplotype.

Correlation of SMNt and SMNc gene copy number with age of onset and survival in spinal muscular atrophy

Childhood-onset autosomal recessive spinal muscular atrophy (SMA) is associated with absence of the telomeric survival motor neuron gene (SMNt) in most patients, and deletion of the neuronal apoptosis inhibitory protein (NAIP) gene in the majority of severely affected patients. Analysis of SMNt has been complicated by the existence of a centromeric copy, SMNc, which is almost identical to SMNt but which can be distinguished from it by restriction enzyme analysis. In this study 143 SMA patients have been genotyped for the presence or absence of the SMNt, SMNc and NAIP genes, and the data correlated with quantifiable clinical variables. Although a significant correlation was observed between the presence or absence of the NAIP gene and the severity of the clinical phenotype in SMA patients generally, there was no difference in age of onset or survival in type I patients with the NAIP+ or NAIP− genotype. Fluorimetric PCR analysis of SMNc gene dosage in 57 patients homozygous for the absence of the SMNt gene but in whom the NAIP gene was present showed a highly significant correlation between SMNc copy number and SMA subtype, and between SMNc copy number and both age of onset and length of survival. The data provide strong statistical support for the emerging consensus that the clinical phenotype in SMA is directed primarily by the level of functional SMN protein. The lower SMNc copy number in type I patients in whom the NAIP gene is present suggests that the SMNt gene is removed by deletion in the majority of such patients, rather than by gene conversion as is the case in SMA types II and III.

Gene deletions in spinal muscular atrophy.

Two candidate genes (NAIP and SMN) have recently been reported for childhood onset spinal muscular atrophy (SMA). Although affected subjects show deletions of these genes, these deletions can lead to either a very mild or a severe phenotype. We have analysed a large number of clinically well defined patients, carriers, and normal controls to assess the frequency and extent of deletions encompassing both of these genes. A genotype analysis indicates that more extensive deletions are seen in the severe form of SMA than in the milder forms. In addition, 1 center dot 9% of phenotypically normal carriers are deleted for the NAIP gene; no carriers were deleted for the SMN gene. Our data suggest that deletions in both of these genes, using the currently available assays, are associated with both a severe and very mild phenotype.

Linkage analysis of 84 microsatellite markers in intra- and interspecific backcrosses.

Microsatellite sequences are stretches of repetitive DNA distributed throughout the genomes of most eukaryotes (Weber and May 1989; Stallings et al. 1991). They are characterized by a short basic unit that is repeated several times in a tandem array. The core unit can be a dinucleotide, trinucleotide, or tetranucleotide. Such sequences have been shown to be highly polymorphic not only between different species of mice, but also between different inbred laboratory strains (Love et al. 1990; Dietrich et al. 1992). Microsatellite length variants are easily detected with the polymerase chain reaction (PCR) provided unique flanking sequence is available for PCR primer design and the resulting PCR products can be resolved by acrylamide/agarose gel electrophoresis. This ease of analysis, coupled with the high degree of polymorphism exhibited by microsatellites, makes them extremely useful markers in the construction of highresolution, easily accessible linkage maps (Love et al. 1990; Dietrich et al. 1992). Such genetic linkage maps have proved invaluable in the mapping of disease susceptibility genes (Todd et al. 1991). The nonobese diabetic (NOD) mouse spontaneously develops diabetes with many similarities to the human disorder type 1 (insulin-dependent) diabetes mellitus and as such is a useful tool for the mapping and identification of diabetes susceptibility loci (Todd et al. 1991). To this end we undertook the construction of a linkage map of the mouse genome, using a series of variant microsatellite markers amplified by PCR and DNA purified from the progeny of two reciprocal first backcross generations (BC1), (BIO.H-2 g7 • NOD)F 1 • NOD and NOD • (BIO.H-2 g7 • NOD)F 1. Between 37 and 471 animals were typed for 94 marker loci distributed over 16 autosomes. The use of a con-

Genomic rearrangements in childhood spinal muscular atrophy: linkage disequilibrium with a null allele.

Autosomal recessive childhood onset spinal muscular atrophy has been mapped to chromosome 5q13. We report the analysis of a polymorphic microsatellite which shows linkage disequilibrium with the disease. The linkage disequilibrium is observed with a null allele which is seen as the non-inheritance of alleles from one or both parents. The inheritance of a null allele was observed in 26 out of 36 (72%) informative childhood onset spinal muscular atrophy (SMA) families tested, of all types of severity and from a variety of ethnic backgrounds. In seven families segregating for the severe Werdnig-Hoffmann or SMA type I, no alleles were inherited from either parent using this microsatellite. This null allele may represent a deletion which is either closely associated with, or causes, the disease.

Novel transcribed sequences represented in the complex genomic region 5q13

YACs from the complex repetitive human genomic region 5q13, spanning the spinal muscular atrophy (SMA) locus, have been searched for transcribed sequences using the method of End Ligation Coincident Sequence Cloning. Six transcripts (PT1-6) have been identified, three of which (PT4, PT5 and PT6) are novel. Five of these elements hybridise to multiple loci in 5q13, but PT5 is single copy and maps very close to markers that show linkage disequilibrium with SMA.

Evidence for compound heterozygosity causing mild and severe forms of autosomal recessive spinal muscular atrophy

Spinal muscular atrophy is an autosomal recessive disease of motor neurone degeneration which shows a variable phenotype. Two candidate genes show deletions in affected subjects but with no distinction between different forms of the disease. We report an unusual family in which mild and severe SMA coexists and patients are deleted for the SMN gene. The father is affected with late onset SMA; therefore this family shows pseudodominant inheritance. When typed using closely linked flanking markers the severely affected son does not share the same haplotype as his sib, who is deleted for SMN but shows no signs yet of SMA. This supports the hypothesis that differences in SMA phenotype can be explained by a multiple allele model.