Differential Effector Engagement by Oncogenic KRAS

1. Download high-res image (291KB)
2. Download full-size image

     

Effects of the egg incubation environment on turtle carapace development

Developing organisms are often exposed to fluctuating environments that destabilize tissue-scale processes and induce abnormal phenotypes. This might be common in species that lay eggs in the external environment and with little parental care, such as many reptiles. In turtles, morphological development has provided striking examples of abnormal phenotypic patterns, though the influence of the environment remains unclear. To this end, we compared fluctuating asymmetry, as a proxy for developmental instability, in turtle hatchlings incubated in controlled laboratory and unstable natural conditions. Wild and laboratory hatchlings featured similar proportions of supernumerary scales (scutes) on the dorsal shell (carapace). Such abnormal scutes likely elevated shape asymmetry, which was highest in natural nests. Moreover, we tested the hypothesis that hot and dry environments cause abnormal scute formation by subjecting eggs to a range of hydric and thermal laboratory incubation regimes. Shape asymmetry was similar in hatchlings incubated at five constant temperatures (26–30°C). A hot (30°C) and severely Dry substrate yielded smaller hatchlings but scutes were not overtly affected. Our study suggests that changing nest environments contribute to fluctuating asymmetry in egg-laying reptiles, while clarifying the conditions at which turtle shell development remains buffered from the external environment.     

Fetal growth and subsequent risk of breast cancer: results from long term follow up of Swedish cohort

ObjectiveTo investigate whether size at birth and rate of fetal growth influence the risk of breast cancer in adulthood.DesignCohort identified from detailed birth records, with 97% follow up.SettingUppsala Academic Hospital, Sweden.Participants5358 singleton females born during 1915-29, alive and traced to the 1960 census.ResultsSize at birth was positively associated with rates of breast cancer in premenopausal women. In women who weighed ⩾4000 g at birth rates of breast cancer were 3.5 times (95% confidence interval 1.3 to 9.3) those in women of similar gestational age who weighed <3000 g at birth. Rates in women in the top fifths of the distributions of birth length and head circumference were 3.4 (1.5 to 7.9) and 4.0 (1.6 to 10.0) times those in the lowest fifths (adjusted for gestational age). The effect of birth weight disappeared after adjustment for birth length or head circumference, whereas the effects of birth length and head circumference remained significant after adjustment for birth weight. For a given size at birth, gestational age was inversely associated with risk (P=0.03 for linear trend). Adjustment for markers of adult risk factors did not affect these findings. Birth size was not associated with rates of breast cancer in postmenopausal women.ConclusionsSize at birth, particularly length and head circumference, is associated with risk of breast cancer in women aged <50 years. Fetal growth rate, as measured by birth size adjusted for gestational age, rather than size at birth may be the aetiologically relevant factor in premenopausal breast cancer.

What is already known on this topic

There is some evidence that birth weight is related to risk of breast cancerThe exact nature of any association and whether it differs at premenopausal and postmenopausal ages is unclearFew studies have examined the effect of other measures of birth size and of gestational age

What this study adds

There are strong positive associations between measures of birth size and rates of breast cancer at premenopausal ages that persisted after adjustment for adult risk factorsFor a given birth size, gestational age was inversely associated with risk, suggesting that the rate of fetal growth may be aetiologically relevant to premenopausal breast cancerThere was no association between birth characteristics and rates of breast cancer at postmenopausal ages     

A Pathogenic Mosaic TP53 Mutation in Two Germ Layers Detected by Next Generation Sequencing

Background

Li-Fraumeni syndrome is caused by germline TP53 mutations and is clinically characterized by a predisposition to a range of cancers, most commonly sarcoma, brain tumours and leukemia. Pathogenic mosaic TP53 mutations have only rarely been described.

Methods and Findings

We describe a 2 years old child presenting with three separate cancers over a 6 month period; two soft tissue mesenchymal tumors and an aggressive metastatic neuroblastoma. As conventional testing of blood DNA by Sanger sequencing for mutations in TP53, ALK, and SDH was negative, whole exome sequencing of the blood DNA of the patient and both parents was performed to screen more widely for cancer predisposing mutations. In the patient''s but not the parents'' DNA we found a c.743 G>A, p.Arg248Gln (CCDS11118.1) TP53 mutation in 3–20% of sequencing reads, a level that would not generally be detectable by Sanger sequencing. Homozygosity for this mutation was detected in all tumor samples analyzed, and germline mosaicism was demonstrated by analysis of the child''s newborn blood spot DNA. The occurrence of separate tumors derived from different germ layers suggests that this de novo mutation occurred early in embryogenesis, prior to gastrulation.

Conclusion

The case demonstrates pathogenic mosaicim, detected by next generation deep sequencing, that arose in the early stages of embryogenesis.     

The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement

Routinely collected health data, obtained for administrative and clinical purposes without specific a priori research goals, are increasingly used for research. The rapid evolution and availability of these data have revealed issues not addressed by existing reporting guidelines, such as Strengthening the Reporting of Observational Studies in Epidemiology (STROBE). The REporting of studies Conducted using Observational Routinely collected health Data (RECORD) statement was created to fill these gaps. RECORD was created as an extension to the STROBE statement to address reporting items specific to observational studies using routinely collected health data. RECORD consists of a checklist of 13 items related to the title, abstract, introduction, methods, results, and discussion section of articles, and other information required for inclusion in such research reports. This document contains the checklist and explanatory and elaboration information to enhance the use of the checklist. Examples of good reporting for each RECORD checklist item are also included herein. This document, as well as the accompanying website and message board (http://www.record-statement.org), will enhance the implementation and understanding of RECORD. Through implementation of RECORD, authors, journals editors, and peer reviewers can encourage transparency of research reporting.     

Sequencing, cloning, and expression of human red cell-type acid phosphatase, a cytoplasmic phosphotyrosyl protein phosphatase.

Low molecular weight phosphotyrosyl protein phosphatases of human placenta and human red cell were purified and sequenced by a combination of Edman degradation and tandem mass spectrometry. Screening of a human placental lambda gt11 cDNA library yielded overlapping cDNA clones coding for two distinct human cytoplasmic low molecular weight phosphotyrosyl protein phosphatases (HCPTPs). The two longest clones, designated HCPTP1-1 and HCPTP2-1, were found to have identical nucleotide sequences, with the exception of a 108-base pair segment in the middle of the open reading frame. Polymerase chain reaction studies with human genomic DNA suggest that the difference between HCPTP1-1 and HCPTP2-1 does not result from alternative RNA splicing. Studies with a human chromosome 2-specific library confirmed that these sequences are located on chromosome 2, which is known to be the location of red cell acid phosphatase locus ACP1. The coding sequences of HCPTP1-1 and HCPTP2-1 were placed downstream from a bacteriophage T7 promoter and the proteins were expressed in Escherichia coli. The resulting recombinant enzymes (designated HCPTP-A and HCPTP-B, respectively) showed molecular weights of 18,000 by sodium dodecyl sulfate-polyacrylamide gel electrophoresis, and both of them exhibited immunoreactivity with antisera raised against authentic human placental and bovine heart enzymes. The expressed proteins were highly active towards the phosphatase substrates p-nitrophenyl phosphate, beta-naphthyl phosphate, and O-phospho-L-tyrosine, but not alpha-naphthyl phosphate, threonine phosphate, or O-phospho-L-serine. HCPTP-A and -B possessed effectively identical amino acid compositions, immunoreactivities, inhibition by formaldehyde, and kinetic properties when compared with two human red cell acid phosphatase isoenzymes. It is concluded that HCPTP-A and -B are the fast and slow forms of red cell acid phosphatase, respectively, and that this enzyme is not unique to the red cell but is instead expressed in all human tissues.     

Phylogenetic diversity and community assembly in a naturally fragmented system

We sought to assess effects of fragmentation and quantify the contribution of ecological processes to community assembly by measuring species richness, phylogenetic, and phenotypic diversity of species found in local and regional plant communities. Specifically, our fragmented system is Craters of the Moon National Monument and Preserve, Idaho, USA. CRMO is characterized by vegetated islands, kipukas, that are isolated in a matrix of lava. We used floristic surveys of vascular plants in 19 kipukas to create a local species list to compare traditional dispersion metrics, mean pairwise distance, and mean nearest taxon distance (MPD and MNTD), to a regional species list with phenotypic and phylogenetic data. We combined phylogenetic and functional trait data in a novel machine‐learning model selection approach, Community Assembly Model Inference (CAMI), to infer probability associated with different models of community assembly given the data. Finally, we used linear regression to explore whether the geography of kipukas explained estimated support for community assembly models. Using traditional metrics of MPD and MNTD neutral processes received the most support when comparing kipuka species to regional species. Individually no kipukas showed significant support for overdispersion. Rather, five kipukas showed significant support for phylogenetic clustering using MPD and two kipukas using MNTD. Using CAMI, we inferred neutral and filtering models structured the kipuka plant community for our trait of interest. Finally, we found as species richness in kipukas increases, model support for competition decreases and lower elevation kipukas show more support for habitat filtering models. While traditional phylogenetic community approaches suggest neutral assembly dynamics, recently developed approaches utilizing machine learning and model choice revealed joint influences of assembly processes to form the kipuka plant communities. Understanding ecological processes at play in naturally fragmented systems will aid in guiding our understanding of how fragmentation impacts future changes in landscapes.