Movement analysis in infancy may be useful for early diagnosis of autism

All of the 17 autistic children studied in the present paper showed disturbances of movement that with our methods could be detected clearly at the age of 4–6 months, and sometimes even at birth. We used the Eshkol–Wachman Movement Analysis System in combination with still-frame videodisc analysis to study videos obtained from parents of children who had been diagnosed as autistic by conventional methods, usually around 3 years old. The videos showed their behaviors when they were infants, long before they had been diagnosed as autistic. The movement disorders varied from child to child. Disturbances were revealed in the shape of the mouth and in some or all of the milestones of development, including, lying, righting, sitting, crawling, and walking. Our findings support the view that movement disturbances play an intrinsic part in the phenomenon of autism, that they are present at birth, and that they can be used to diagnose the presence of autism in the first few months of life. They indicate the need for the development of methods of therapy to be applied from the first few months of life in autism.

Directional cDNA library construction assisted by the in vitro recombination reaction

We report here a new directional cDNA library construction method using an in vitro site-specific recombination reaction, based on the integrase–excisionase system of bacteriophage λ. Preliminary experiments revealed that in vitro recombinational cloning (RC) provided important advantages over conventional ligation-assisted cloning: it eliminated restriction digestion for directional cloning, generated low levels of chimeric clones, reduced size bias and, in our hands, gave a higher cloning efficiency than conventional ligation reactions. In a cDNA cloning experiment using an in vitro synthesized long poly(A)+ RNA (7.8 kb), the RC gave a higher full-length cDNA clone content and about 10 times more transformants than conventional ligation-assisted cloning. Furthermore, characterization of rat brain cDNA clones yielded by the RC method showed that the frequency of cDNA clones >2 kb having internal NotI sites was ∼6%, whereas these cDNAs could not be cloned at all or could be isolated only in a truncated form by conventional methods. Taken together, these results indicate that the RC method makes it possible to prepare cDNA libraries better representing the entire population of cDNAs, without sacrificing the simplicity of current conventional ligation-assisted methods.

Significance analysis of microarrays applied to the ionizing radiation response

Microarrays can measure the expression of thousands of genes to identify changes in expression between different biological states. Methods are needed to determine the significance of these changes while accounting for the enormous number of genes. We describe a method, Significance Analysis of Microarrays (SAM), that assigns a score to each gene on the basis of change in gene expression relative to the standard deviation of repeated measurements. For genes with scores greater than an adjustable threshold, SAM uses permutations of the repeated measurements to estimate the percentage of genes identified by chance, the false discovery rate (FDR). When the transcriptional response of human cells to ionizing radiation was measured by microarrays, SAM identified 34 genes that changed at least 1.5-fold with an estimated FDR of 12%, compared with FDRs of 60 and 84% by using conventional methods of analysis. Of the 34 genes, 19 were involved in cell cycle regulation and 3 in apoptosis. Surprisingly, four nucleotide excision repair genes were induced, suggesting that this repair pathway for UV-damaged DNA might play a previously unrecognized role in repairing DNA damaged by ionizing radiation.

An approach to three-dimensional structures of biomolecules by using single-molecule diffraction images

We describe an approach to the high-resolution three-dimensional structural determination of macromolecules that utilizes ultrashort, intense x-ray pulses to record diffraction data in combination with direct phase retrieval by the oversampling technique. It is shown that a simulated molecular diffraction pattern at 2.5-Å resolution accumulated from multiple copies of single rubisco biomolecules, each generated by a femtosecond-level x-ray free electron laser pulse, can be successfully phased and transformed into an accurate electron density map comparable to that obtained by more conventional methods. The phase problem is solved by using an iterative algorithm with a random phase set as an initial input. The convergence speed of the algorithm is reasonably fast, typically around a few hundred iterations. This approach and phasing method do not require any ab initio information about the molecule, do not require an extended ordered lattice array, and can tolerate high noise and some missing intensity data at the center of the diffraction pattern. With the prospects of the x-ray free electron lasers, this approach could provide a major new opportunity for the high-resolution three-dimensional structure determination of single biomolecules.

Interactions of a Rel protein with its inhibitor.

Cactus, a Drosophila homologue of I kappa B, binds to and inhibits Dorsal, a homologue of the p50 and p65 components of NF-kappa B. We describe experiments in yeast with various Dorsal and Cactus derivatives showing that Cactus blocks the DNA binding and nuclear localization functions of Dorsal. In contrast, Dorsal's transcriptional activating region is functional in the Dorsal-Cactus complex. We identify two Dorsal mutants, Dorsal C233R and Dorsal S234P, that escape Cactus inhibition in vivo, and we show that these mutants fail to interact with Cactus in vitro. From this and data of others, we identify the likely surface of Dorsal that binds Cactus. We also describe a modified PCR mutagenesis procedure, easier to use than conventional methods, that produces a library of high complexity.

Rapid RNA polymerase genetics: one-day, no-column preparation of reconstituted recombinant Escherichia coli RNA polymerase.

We present a simple, rapid procedure for reconstitution of Escherichia coli RNA polymerase holoenzyme (RNAP) from individual recombinant alpha, beta, beta', and sigma 70 subunits. Hexahistidine-tagged recombinant alpha subunit purified by batch-mode metal-ion-affinity chromatography is incubated with crude recombinant beta, beta', and sigma 70 subunits from inclusion bodies, and the resulting reconstituted recombinant RNAP is purified by batch-mode metal-ion-affinity chromatography. RNAP prepared by this procedure is indistinguishable from RNAP prepared by conventional methods with respect to subunit stoichiometry, alpha-DNA interaction, catabolite gene activator protein (CAP)-independent transcription, and CAP-dependent transcription. Experiments with alpha (1-235), an alpha subunit C-terminal deletion mutant, establish that the procedure is suitable for biochemical screening of subunit lethal mutants.

Sources of selection bias in evaluating social programs: An interpretation of conventional measures and evidence on the effectiveness of matching as a program evaluation method

This paper decomposes the conventional measure of selection bias in observational studies into three components. The first two components are due to differences in the distributions of characteristics between participant and nonparticipant (comparison) group members: the first arises from differences in the supports, and the second from differences in densities over the region of common support. The third component arises from selection bias precisely defined. Using data from a recent social experiment, we find that the component due to selection bias, precisely defined, is smaller than the first two components. However, selection bias still represents a substantial fraction of the experimental impact estimate. The empirical performance of matching methods of program evaluation is also examined. We find that matching based on the propensity score eliminates some but not all of the measured selection bias, with the remaining bias still a substantial fraction of the estimated impact. We find that the support of the distribution of propensity scores for the comparison group is typically only a small portion of the support for the participant group. For values outside the common support, it is impossible to reliably estimate the effect of program participation using matching methods. If the impact of participation depends on the propensity score, as we find in our data, the failure of the common support condition severely limits matching compared with random assignment as an evaluation estimator.

Mutation detection by highly sensitive methods indicates that p53 gene mutations in breast cancer can have important prognostic value.

Human cancer cells with a mutated p53 tumor-suppressor gene have a selective growth advantage and may exhibit resistance to ionizing radiation and certain chemotherapeutic agents. To examine the prognostic value of mutations in the p53 gene, a cohort of 90 Midwestern Caucasian breast cancer patients were analyzed with methodology that detects virtually 100% of all mutations. The presence of a p53 gene mutation was by far the single most predictive indicator for recurrence and death (relative risks of 4.7 and 23.2, respectively). Direct detection of p53 mutations had substantially greater prognostic value than immunohistochemical detection of p53 overexpression. Analysis of p53 gene mutations may permit identification of a subset of breast cancer patients who, despite lack of conventional indicators of poor prognosis, are at high risk of early recurrence and death.