Improved plasmids for gene targeting at the his-3 locus of Neurospora crassa by electroporation: Correction

Two mistakes in our article on gene replacement by gene targeting at the his-3 locus (Margolin, B.S. et al., 1997, FGN 44:34-36) have come to our attention

Improved plasmids for gene targeting at the his-3 locus of Neurospora crassa by electroporation

We report two new plasmids, pBM60 and pBM61, and procedures to efficiently generate single- copy transformants targeted to the his-3 locus in Neurospora crassa

Different frequencies of RIP among early vs. late ascospores of Neurospora crassa

We have noticed that the frequency of RIP can be quite variable, even in crosses of the same strains. One possible source of variability is the time at which ascospores are harvested. We reasoned that the earliest ascospores shot from a perithecium might contain DNA that went through relatively few mitotic divisions in pre-meiosis. RIP occurs between fertilization and premeiotic DNA synthesis (Selker et al. 1987 Cell 51:741-752). Thus, early spores might have less exposure to RIP than late spores. Since all ascospores from a perithecium are thought to arise from a single fertilization event, a minimum of 7- 10 divisions are required to account for the number of ascospores normally produced (Perkins and Barry, 1977 Adv. Genet. 211:541-544). It is likely, however, that some ascospore lineages contain fewer divisions than others

Updates in the management of brain metastases

The clinical management/understanding of brain metastases (BM) has changed substantially in the last 5 years, with key advances and clinical trials highlighted in this review. Several of these changes stem from improvements in systemic therapy, which have led to better systemic control and longer overall patient survival, associated with increased time at risk for developing BM. Development of systemic therapies capable of preventing BM and controlling both intracranial and extracranial disease once BM are diagnosed is paramount. The increase in use of stereotactic radiosurgery alone for many patients with multiple BM is an outgrowth of the desire to employ treatments focused on local control while minimizing cognitive effects associated with whole brain radiotherapy. Complications from BM and their treatment must be considered in comprehensive patient management, especially with greater awareness that the majority of patients do not die from their BM. Being aware of significant heterogeneity in prognosis and therapeutic options for patients with BM is crucial for appropriate management, with greater attention to developing individual patient treatment plans based on predicted outcomes; in this context, recent prognostic models of survival have been extensively revised to incorporate molecular markers unique to different primary cancers

Completeness and accuracy of national cancer and death registration for outcome ascertainment in trials—an ovarian cancer exemplar

BACKGROUND: There is a trend to increasing use of routinely collected health data to ascertain outcome measures in trials. We report on the completeness and accuracy of national ovarian cancer and death registration in the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS). METHODS: Of the 202,638 participants, 202,632 were successfully linked and followed through national cancer and death registries of Northern Ireland, Wales and England. Women with registrations of any of 19 pre-defined ICD-10 codes suggestive of tubo-ovarian cancer or notification of ovarian/tubal/peritoneal cancer from hospital episode statistics or trial sites were identified. Copies of hospital and primary care notes were retrieved and reviewed by an independent outcomes review committee. National registration of site and cause of death as ovarian/tubal/peritoneal cancer (C56/C57/C48) obtained up to 3 months after trial censorship was compared to that assigned by outcomes review (reference standard). RESULTS: Outcome review was undertaken in 3110 women on whom notification was received between 2001 and 2014. Ovarian cancer was confirmed in 1324 of whom 1125 had a relevant cancer registration. Sensitivity and specificity of ovarian/tubal/peritoneal cancer registration were 85.0% (1125/1324; 95% CI 83.7-86.2%) and 94.0% (1679/1786; 95% CI 93.2-94.8%), respectively. Of 2041 death registrations reviewed, 681 were confirmed to have a tubo-ovarian cancer of whom 605 had relevant death registration. Sensitivity and specificity were 88.8% (605/681; 95% CI 86.4-91.2%) and 96.7% (1482/1533, 95% CI 95.8-97.6%), respectively. When multiple electronic health record sources were considered, sensitivity for cancer site increased to 91.1% (1206/1324, 95% CI 89.4-92.5%) and for cause of death 94.0% (640/681, 95% CI 91.9-95.5%). Of 1232 with cancer registration, 8.7% (107/1232) were wrongly designated as ovarian/tubal/peritoneal cancers by the registry and 4.0% (47/1172) of confirmed tubo-ovarian cancers were mis-registered. In 656 with death registrations, 7.8% (51/656) were wrongly assigned as due to ovarian/tubal/peritoneal cancers while 6.2% (40/645) of confirmed tubo-ovarian cancer deaths were mis-registered. CONCLUSION: Follow-up of trial participants for tubo-ovarian cancer using national registry data will result in incomplete ascertainment, particularly of the site due in part to the latency of registration. This can be reduced by using other routinely collected data such as hospital episode statistics. Central adjudication by experts though resource intensive adds value by improving the accuracy of diagnoses. TRIAL REGISTRATION: ISRCTN: ISRCTN22488978 . Registered on 6 April 2000

Stochastic pump effect and geometric phases in dissipative and stochastic systems

The success of Berry phases in quantum mechanics stimulated the study of similar phenomena in other areas of physics, including the theory of living cell locomotion and motion of patterns in nonlinear media. More recently, geometric phases have been applied to systems operating in a strongly stochastic environment, such as molecular motors. We discuss such geometric effects in purely classical dissipative stochastic systems and their role in the theory of the stochastic pump effect (SPE).Comment: Review. 35 pages. J. Phys. A: Math, Theor. (in press

Genotype to phenotype mapping and the fitness landscape of the E. coli lac promoter

Genotype-to-phenotype maps and the related fitness landscapes that include epistatic interactions are difficult to measure because of their high dimensional structure. Here we construct such a map using the recently collected corpora of high-throughput sequence data from the 75 base pairs long mutagenized E. coli lac promoter region, where each sequence is associated with its phenotype, the induced transcriptional activity measured by a fluorescent reporter. We find that the additive (non-epistatic) contributions of individual mutations account for about two-thirds of the explainable phenotype variance, while pairwise epistasis explains about 7% of the variance for the full mutagenized sequence and about 15% for the subsequence associated with protein binding sites. Surprisingly, there is no evidence for third order epistatic contributions, and our inferred fitness landscape is essentially single peaked, with a small amount of antagonistic epistasis. There is a significant selective pressure on the wild type, which we deduce to be multi-objective optimal for gene expression in environments with different nutrient sources. We identify transcription factor (CRP) and RNA polymerase binding sites in the promotor region and their interactions without difficult optimization steps. In particular, we observe evidence for previously unexplored genetic regulatory mechanisms, possibly kinetic in nature. We conclude with a cautionary note that inferred properties of fitness landscapes may be severely influenced by biases in the sequence data

Network Inference Algorithms Elucidate Nrf2 Regulation of Mouse Lung Oxidative Stress

A variety of cardiovascular, neurological, and neoplastic conditions have been associated with oxidative stress, i.e., conditions under which levels of reactive oxygen species (ROS) are elevated over significant periods. Nuclear factor erythroid 2-related factor (Nrf2) regulates the transcription of several gene products involved in the protective response to oxidative stress. The transcriptional regulatory and signaling relationships linking gene products involved in the response to oxidative stress are, currently, only partially resolved. Microarray data constitute RNA abundance measures representing gene expression patterns. In some cases, these patterns can identify the molecular interactions of gene products. They can be, in effect, proxies for protein–protein and protein–DNA interactions. Traditional techniques used for clustering coregulated genes on high-throughput gene arrays are rarely capable of distinguishing between direct transcriptional regulatory interactions and indirect ones. In this study, newly developed information-theoretic algorithms that employ the concept of mutual information were used: the Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNE), and Context Likelihood of Relatedness (CLR). These algorithms captured dependencies in the gene expression profiles of the mouse lung, allowing the regulatory effect of Nrf2 in response to oxidative stress to be determined more precisely. In addition, a characterization of promoter sequences of Nrf2 regulatory targets was conducted using a Support Vector Machine classification algorithm to corroborate ARACNE and CLR predictions. Inferred networks were analyzed, compared, and integrated using the Collective Analysis of Biological Interaction Networks (CABIN) plug-in of Cytoscape. Using the two network inference algorithms and one machine learning algorithm, a number of both previously known and novel targets of Nrf2 transcriptional activation were identified. Genes predicted as novel Nrf2 targets include Atf1, Srxn1, Prnp, Sod2, Als2, Nfkbib, and Ppp1r15b. Furthermore, microarray and quantitative RT-PCR experiments following cigarette-smoke-induced oxidative stress in Nrf2+/+ and Nrf2−/− mouse lung affirmed many of the predictions made. Several new potential feed-forward regulatory loops involving Nrf2, Nqo1, Srxn1, Prdx1, Als2, Atf1, Sod1, and Park7 were predicted. This work shows the promise of network inference algorithms operating on high-throughput gene expression data in identifying transcriptional regulatory and other signaling relationships implicated in mammalian disease

Adenovirus DNA in Guthrie cards from children who develop acute lymphoblastic leukaemia (ALL)

Aims: The aim of this thesis was to increase understanding of how molecular processes influence the development and risk assessment of childhood leukemia. Studies I and II investigates whether a specific virus infection in utero could be involved in a “first hit” in leukemogenesis. Studies III and IV examine whether alterations in protein expression from cell cycle regulating genes may predict a relapse in children with myeloid malignancies undergoing hematopoietic stem cell transplantation (HSCT). Background: Genetic alterations, analyzed at time of diagnosis in children who develop leukemia, have been traced back to neonatal dried blood spots (DBS). This suggests that the majority of chromosome translocations occur in utero during fetal hematopoiesis, generating a “first hit”. A “second hit” is then required to generate a leukemic clone. Today, experiments in vitro, animal models, and clinical observations have revealed that several viruses are oncogenic and capable of initiating a genetic alteration. Smith M postulated the theory that an in utero infection might be the “first hit”, causing genetic aberrations that could later lead to the development of the leukemic clone, which is supported by the early age of onset and space-time clustering data, based on time, place of birth, and diagnosis. Leukemia develops as a result of hematopoietic or lymphoid tissue with uncontrolled cell division. Normally cell division is controlled by the cell cycle, the network of which is complex with numerous regulating proteins both up and down stream, but also containing several feedback loops. The important regulators of this process are tumor suppressor genes, essential for normal cell proliferation and differentiation as well as for controlling DNA integrity. Errors in these genes or their protein expression affect the ability of the cell to check for DNA damage, thus tumors may occur. Proteins from these genes could serve as prognostic markers and predict relapse. Methods: In studies I and II we investigated neonatal DBS by PCR for the presence of adenovirus DNA (243 samples) and the three newly discovered polyomaviruses (50 samples) from children who later developed leukemia but also from controls (486 and 100 samples respectively). In studies III and IV we explored the expression of one (p53) respectively four (p53, p21, p16 and PTEN) cell cycle regulating proteins in bone marrow at diagnosis as well as pre and post HSCT in myeloid malignancies in children. We retrospectively collected clinical data and bone marrow samples from 33 children diagnosed with chronic myeloid malignancies (MDS, JMML and CML), 34 children diagnosed with AML as well as 55 controls. The samples were prepared by tissue micro array (TMA) as well as immunohistochemistry and examined for protein expression in a light microscope. Results: In study I we detected adenovirus DNA in only two patients who later developed leukemia, but in none of the controls. In study II all the samples were negative for KIPyV, WUPyV and MCPyV DNA in both patients and controls. In study III we found an overexpression of p53 protein at diagnosis that significantly predicted relapse after HSCT in children with rare chronic myeloid malignancies. In study IV a significantly higher p53 expression was found in the relapse compared to the non-relapse group at six months post HSCT in children with AML, suggesting that p53 may be used as prognostic markers for predicting a relapse. In addition, the calculated cut off level for p53 at diagnosis (study III) and at six months (study IV) post HSCT was approximately 20%, which indicates that a p53 expression over 20% may predict relapse in children with myeloid malignancies. Conclusion: Although we did not find an association between adenoviruses or the three newly discovered polyomaviruses and the development of childhood leukemia, a virus could still be involved in this process; the virus may have escaped detection, other new viruses could be involved or a virus could precipitate the “second hit”. We suggest that evaluation of p53 protein expression may be used as a supplement to regular prognostic markers both pre and post HSCT. To further evaluate this, a prospective multicenter study has been started

FGF receptor genes and breast cancer susceptibility: results from the Breast Cancer Association Consortium

Background:Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium. Methods:Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression. Results:Little evidence of association with breast cancer risk was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95 confidence interval=1.02-1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2. Conclusion:Our results suggest that common variants in the other FGF receptors are not associated with risk of breast cancer to the degree observed for FGFR2. © 2014 Cancer Research UK