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The dominant DNA damage generated by UV exposure is the cyclobutane pyrimidine dimer (CPD), which alters skin cell physiology and induces cell death and mutation. Genome-wide nucleotide-resolution analysis of CPDs in melanocytes and fibroblasts has identified "CPD hyperhotspots", pyrimidine-pyrimidine sites hundreds of fold more susceptible to the generation of CPDs than the genomic average. Identifying hyperhotspots in keratinocytes could enable measuring individual past UV exposure in small skin samples and predicting future skin cancer risk. We therefore exposed neonatal human epidermal keratinocytes to narrowband UVB and quantified CPDs using the adductSeq high-throughput DNA sequencing method. Keratinocytes contained thousands of CPD hyperhotspots, with a UVB-sensitivity up to 550 fold greater than the genomic average. As with melanocytes, the most sensitive sites were located in promoter regions at ETS-family transcription factor binding sequence motifs, near RNA processing genes. Moreover, they lay at sequence motifs bound to ETS1 in CpG islands. These genes were specifically upregulated in skin and the CPD hyperhotspots were mutated in a fraction of keratinocyte cancers. Crucially for their biological importance and practical application, CPD hyperhotspot locations and UV-sensitivity ranking demonstrated high reproducibility across experiments and across skin donors. CPD hyperhotspots are therefore sensitive indicators of UV exposure.

If the genome contains outlier sequences extraordinarily sensitive to environmental agents, these would be sentinels for monitoring personal carcinogen exposure and might drive direct changes in cell physiology rather than acting through rare mutations. New methods, adductSeq and freqSeq, provided statistical resolution to quantify rare lesions at single-base resolution across the genome. Primary human melanocytes, but not fibroblasts, carried spontaneous apurinic sites and TG sequence lesions more frequent than ultraviolet (UV)-induced cyclobutane pyrimidine dimers (CPDs). UV exposure revealed hyperhotspots acquiring CPDs up to 170-fold more frequently than the genomic average; these sites were more prevalent in melanocytes. Hyperhotspots were disproportionately located near genes, particularly for RNA-binding proteins, with the most-recurrent hyperhotspots at a fixed position within 2 motifs. One motif occurs at ETS family transcription factor binding sites, known to be UV targets and now shown to be among the most sensitive in the genome, and at sites of mTOR/5′ terminal oligopyrimidine-tract translation regulation. The second occurs at A 2–15 TTCTY, which developed “dark CPDs” long after UV exposure, repaired CPDs slowly, and had accumulated CPDs prior to the experiment. Motif locations active as hyperhotspots differed between cell types. Melanocyte CPD hyperhotspots aligned precisely with recurrent UV signature mutations in individual gene promoters of melanomas and with known cancer drivers. At sunburn levels of UV exposure, every cell would have a hyperhotspot CPD in each of the ∼20 targeted cell pathways, letting hyperhotspots act as epigenetic marks that create phenome instability; high prevalence favors cooccurring mutations, which would allow tumor evolution to use weak drivers.

Genome biology approaches have made enormous contributions to our understanding of biological rhythms, particularly in identifying outputs of the clock, including RNAs, proteins, and metabolites, whose abundance oscillates throughout the day. These methods hold significant promise for future discovery, particularly when combined with computational modeling. However, genome-scale experiments are costly and laborious, yielding “big data” that are conceptually and statistically difficult to analyze. There is no obvious consensus regarding design or analysis. Here we discuss the relevant technical considerations to generate reproducible, statistically sound, and broadly useful genome-scale data. Rather than suggest a set of rigid rules, we aim to codify principles by which investigators, reviewers, and readers of the primary literature can evaluate the suitability of different experimental designs for measuring different aspects of biological rhythms. We introduce CircaInSilico, a web-based application for generating synthetic genome biology data to benchmark statistical methods for studying biological rhythms. Finally, we discuss several unmet analytical needs, including applications to clinical medicine, and suggest productive avenues to address them. Fil: Hughes, Michael E.. Washington University School Of Medicine In St. Louis; Estados Unidos Fil: Abruzzi, Katherine C.. Brandeis University; Estados Unidos Fil: Allada, Ravi. Northwestern University; Estados Unidos Fil: Anafi, Ron. University of Pennsylvania; Estados Unidos Fil: Arpat, Alaaddin Bulak. Universite de Lausanne; Suiza Fil: Asher, Gad. Weizmann Institute Of Science Israel; Israel Fil: Baldi, Pierre. University of California at Irvine; Estados Unidos Fil: de Bekker, Charissa. University Of Central Florida; Estados Unidos Fil: Bell Pedersen, Deborah. Texas A&M University; Estados Unidos Fil: Blau, Justin. University of New York; Estados Unidos Fil: Brown, Steve. Universitat Zurich; Suiza Fil: Ceriani, Maria Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina Fil: Chen, Zheng. University Of Texas Health Science Center At Houston; Estados Unidos Fil: Chiu, Joanna C.. University of California at Davis; Estados Unidos Fil: Cox, Juergen. Max Planck Institute Of Biochemistry; Alemania Fil: Crowell, Alexander M.. Geisel School Of Medicine At Dartmouth; Estados Unidos Fil: DeBruyne, Jason P.. Morehouse School Of Medicine; Estados Unidos Fil: Dijk, Derk-Jan. University Of Surrey; Reino Unido Fil: DiTacchio, Luciano. University Of Kansas Medical Center; Estados Unidos Fil: Doyle, Francis J.. Harvard University; Estados Unidos Fil: Duffield, Giles E.. University of Notre Dame; Estados Unidos Fil: Dunlap, Jay C.. Geisel School Of Medicine At Dartmouth; Estados Unidos Fil: Eckel Mahan, Kristin. University Of Texas Medical School At Houston; Estados Unidos Fil: Esser, Karyn A.. University Of Florida College Of Medicine; Estados Unidos Fil: FitzGerald, Garret A.. University of Pennsylvania; Estados Unidos Fil: Forger, Daniel B.. University Of Michigan; Estados Unidos Fil: Francey, Lauren J.. Cincinnati Children's Hospital Medical Center; Estados Unidos Fil: Fu, Ying Hui. University of California; Estados Unidos Fil: Gachon, Frédéric. Nestlé Institute Of Health Sciences; Suiza Fil: Gatfield, David. Universite de Lausanne; Suiza Fil: de Goede, Paul. University Of Amsterdam; Países Bajos Fil: Golden, Susan S.. University of California at San Diego; Estados Unidos Fil: Green, Carla. University of Texas; Estados Unidos Fil: Harer, John. University of Duke; Estados Unidos Fil: Harmer, Stacey. University of California at Davis; Estados Unidos Fil: Haspel, Jeff. Washington University; Estados Unidos Fil: Hastings, Michael H.. The Medical Research Council Laboratory Of Molecular Biology; Reino Unido Fil: Herzel, Hanspeter. Charité Universitätsmedizin Berlin; Alemania Fil: Herzog, Erik D.. Washington University in St. Louis; Estados Unidos Fil: Hoffmann, Christy. Washington University in St. Louis; Estados Unidos Fil: Hong, Christian. Cincinnati Children's Hospital Medical Center; Estados Unidos Fil: Hughey, Jacob J.. Vanderbilt University School Of Medicine; Estados Unidos Fil: Hurley, Jennifer M.. Rensselaer Polytechnic Institute; Estados Unidos Fil: de la Iglesia, Daniel Horacio. University Of Washington; Estados Unidos Fil: Johnson, Carl. Vanderbilt University; Estados Unidos Fil: Kay, Steve A.. University of California at San Diego; Estados Unidos Fil: Koike, Nobuya. Kyoto Prefectural University Of Medicine; Japón Fil: Kornacker, Karl. Ohio State University; Estados Unidos Fil: Kramer, Achim. Charité Universitätsmedizin Berlin; Alemania Fil: Lamia, Katja. The Scripps Research Institute; Estados Unidos Fil: Leise, Tanya. Amherst College; Estados Unidos Fil: Lewis, Scott A.. Washington University; Estados Unidos Fil: Li, Jiajia. Washington University; Estados Unidos Fil: Li, Xiaodong. Wuhan University; China Fil: Liu, Andrew C.. The University Of Memphis; Estados Unidos Fil: Loros, Jennifer J.. Geisel School Of Medicine At Dartmouth; Estados Unidos Fil: Martino, Tami A.. University of Guelph; Canadá Fil: Menet, Jerome S.. Texas A&M University; Estados Unidos Fil: Merrow, Martha. Ludwig Maximilians Universitat; Alemania Fil: Millar, Andrew J.. University of Edinburgh; Reino Unido Fil: Mockler, Todd. Donald Danforth Plant Science Center; Estados Unidos Fil: Naef, Felix. Ecole Polytechnique Federale de Lausanne; Suiza Fil: Nagoshi, Emi. Universidad de Ginebra; Suiza Fil: Nitabach, Michael N.. University of Yale. School of Medicine; Estados Unidos Fil: Olmedo, Maria. Universidad de Sevilla; España Fil: Nusinow, Dmitri A.. Donald Danforth Plant Science Center; Estados Unidos Fil: Ptácek, Louis J.. University of California; Estados Unidos Fil: Rand, David. University of Warwick; Reino Unido Fil: Reddy, Akhilesh B.. The Francis Crick Institute; Reino Unido Fil: Robles, Maria S.. Ludwig Maximilians Universitat; Alemania Fil: Roenneberg, Till. Ludwig Maximilians Universitat; Alemania Fil: Rosbash, Michael. Brandeis University; Estados Unidos Fil: Ruben, Marc D.. Cincinnati Children's Hospital Medical Center; Estados Unidos Fil: Rund, Samuel S.C.. University of Edinburgh; Reino Unido Fil: Sancar, Aziz. University of North Carolina; Estados Unidos Fil: Sassone Corsi, Paolo. University of California at Irvine; Estados Unidos Fil: Sehgal, Amita. University of Pennsylvania; Estados Unidos Fil: Sherrill Mix, Scott. University of Pennsylvania; Estados Unidos Fil: Skene, Debra J.. University Of Surrey; Reino Unido Fil: Storch, Kai Florian. Mcgill University, Douglas Mental Health University Institute; Canadá Fil: Takahashi, Joseph S.. Ut Southwestern Medical Center; Estados Unidos Fil: Ueda, Hiroki R.. The University of Tokyo; Japón Fil: Wang, Han. Soochow University; China Fil: Weitz, Charles. Harvard Medical School; Estados Unidos Fil: Westermark, P. O.. Leibniz Institute For Farm Animal Biology; Alemania Fil: Wijnen, Herman. University of Southampton; Reino Unido Fil: Xu, Ying. Soochow University; China Fil: Wu, Gang. Cincinnati Children's Hospital Medical Center; Estados Unidos Fil: Yoo, Seung Hee. University of Texas; Estados Unidos Fil: Young, Michael. The Rockefeller University; Estados Unidos Fil: Zhang, Eric Erquan. National Institute Of Biological Sciences, Beijing; China Fil: Zielinski, Tomasz. University of Edinburgh; Reino Unido Fil: Hogenesch, John B.. Cincinnati Children's Hospital Medical Center; Estados Unidos

The largest risk factor for skin cancers such as melanoma is past sun exposure, so an objective measurement of traces of an individual’s sun history would allow a general practitioner to identify people who should be monitored for early cancer detection. If the genome contains outlier DNA sequences hypersensitive to environmental agents such as ultraviolet light (UV), these would be genomic dosimeters for monitoring personal carcinogen exposure and would facilitate noninvasive measurements on small skin samples. Such DNA sites might also allow UV to drive direct changes in cell physiology rather than acting through rare mutations. New methods, adductSeq and freqSeq, tagged rare UV-induced cyclobutane pyrimidine dimers (CPDs) and provided statistical resolution to quantify rare lesions at single-base resolution across the genome. Primary human melanocytes, but not fibroblasts, carried spontaneous apurinic sites and TG sequence lesions more frequent than UV-induced CPDs. UV exposure revealed hyperhotspots acquiring CPDs up to 200-fold more frequently than the genomic average; these were 20-fold more prevalent in melanocytes. Hyperhotspots were disproportionately located near genes, particularly for RNA-binding proteins, with the most-recurrent hyperhotspots at a fixed position within two motifs. One motif occurred at ETS1 transcription factor binding sites, known to be UV targets, and at sites of mTOR/TOP-tract translation regulation; the second occurred at a sequence that developed delayed CPDs after UV exposure, repaired CPDs slowly, and had accumulated CPDs prior to the experiment. Melanocyte CPD hyperhotspots aligned precisely with recurrent UV signature mutations in individual gene promoters of melanomas and with known cancer drivers. At sunburn levels of UV exposure, every cell would have a hyperhotspot CPD in each of the ~20 cell pathways targeted, rendering CPD hyperhotspots epigenetic marks. This abstract is also being presented as Poster A28. Citation Format: Sanjay Premi, Lynn Han, Sameet Mehta, James Knight, Dejian Zhao, Antonella Bacchiocchi, Ruth Halaban, Meg A. Palmatier, Karl Kornacker, Douglas E. Brash. Genomic UV-hypersensitive sites as sentinels for personal UV exposure [abstract]. In: Proceedings of the AACR Special Conference on Environmental Carcinogenesis: Potential Pathway to Cancer Prevention; 2019 Jun 22-24; Charlotte, NC. Philadelphia (PA): AACR; Can Prev Res 2020;13(7 Suppl): Abstract nr PR01.

Summary: Detecting periodicity in large scale data remains a challenge. While efforts have been made to identify best of breed algorithms, relatively little research has gone into integrating these methods in a generalizable method. Here, we present MetaCycle, an R package that incorporates ARSER, JTK_CYCLE and Lomb-Scargle to conveniently evaluate periodicity in time-series data. MetaCycle has two functions, meta2d and meta3d, designed to analyze two-dimensional and three-dimensional time-series datasets, respectively. Meta2d implements N-version programming concepts using a suite of algorithms and integrating their results. Availability and implementation: MetaCycle package is available on the CRAN repository ( https://cran.r-project.org/web/packages/MetaCycle/index.html ) and GitHub ( https://github.com/gangwug/MetaCycle ). Contact: hogenesch@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online.

Recent studies in our lab identified a mutant mouse model of obstructive nephropathy designated mgb for megabladder. Homozygotic mgb mice (mgb−/−) develop lower urinary tract obstruction in utero due to a lack of bladder smooth muscle differentiation. This defect is the result of a random transgene insertion/translocation into chromosomes 11 and 16. Transcriptional profiling identified a significantly over-expressed cluster of gene products located on the translocated fragment of chromosome 16 including urotensin II-related peptide (Urp), which was shown to be preferentially over-expressed in developing mgb−/− bladders. Pathway analysis of mgb microarray data indicated dysregulation of at least 60 gene products associated with smooth muscle development. In conclusion, the results of this study indicate that the molecular pathways controlling normal smooth muscle development are severely altered in mgb−/− bladders, and provide the first evidence that Urp may play a critical role in bladder smooth muscle development. Developmental Dynamics 237:170–186, 2008. © 2007 Wiley-Liss, Inc.

Background Bed bugs (Cimex lectularius) are hematophagous nocturnal parasites of humans that have attained high impact status due to their worldwide resurgence. The sudden and rampant resurgence of C. lectularius has been attributed to numerous factors including frequent international travel, narrower pest management practices, and insecticide resistance. Results We performed a next-generation RNA sequencing (RNA-Seq) experiment to find differentially expressed genes between pesticide-resistant (PR) and pesticide-susceptible (PS) strains of C. lectularius. A reference transcriptome database of 51,492 expressed sequence tags (ESTs) was created by combining the databases derived from de novo assembled mRNA-Seq tags (30,404 ESTs) and our previous 454 pyrosequenced database (21,088 ESTs). The two-way GLMseq analysis revealed ~15,000 highly significant differentially expressed ESTs between the PR and PS strains. Among the top 5,000 differentially expressed ESTs, 109 putative defense genes (cuticular proteins, cytochrome P450s, antioxidant genes, ABC transporters, glutathione S-transferases, carboxylesterases and acetyl cholinesterase) involved in penetration resistance and metabolic resistance were identified. Tissue and development-specific expression of P450 CYP3 clan members showed high mRNA levels in the cuticle, Malpighian tubules, and midgut; and in early instar nymphs, respectively. Lastly, molecular modeling and docking of a candidate cytochrome P450 (CYP397A1V2) revealed the flexibility of the deduced protein to metabolize a broad range of insecticide substrates including DDT, deltamethrin, permethrin, and imidacloprid. Conclusions We developed significant molecular resources for C. lectularius putatively involved in metabolic resistance as well as those participating in other modes of insecticide resistance. RNA-Seq profiles of PR strains combined with tissue-specific profiles and molecular docking revealed multi-level insecticide resistance in C. lectularius. Future research that is targeted towards RNA interference (RNAi) on the identified metabolic targets such as cytochrome P450s and cuticular proteins could lay the foundation for a better understanding of the genetic basis of insecticide resistance in C. lectularius.

Background: Expression profiling, the measurement of all transcripts of a cell or tissue type, is currently the most comprehensive method to describe their physiological states. Given that accurate profiling methods currently available require RNA amounts found in thousands to millions of cells, many fields of biology working with specialized cell types cannot use these techniques because available cell numbers are limited. Currently available alternative methods for expression profiling from nanograms of RNA or from very small cell populations lack a broad validation of results to provide accurate information about the measured transcripts. Methods and Findings: We provide evidence that currently available methods for expression profiling of very small cell populations are prone to technical noise and therefore cannot be used efficiently as discovery tools. Furthermore, we present Pico Profiling, a new expression profiling method from as few as ten cells, and we show that this approach is as informative as standard techniques from thousands to millions of cells. The central component of Pico Profiling is Whole Transcriptome Amplification (WTA), which generates expression profiles that are highly comparable to those produced by others, at different times, by standard protocols or by Real-time PCR. We provide a complete workflow from RNA isolation to analysis of expression profiles. Conclusions: Pico Profiling, as presented here, allows generating an accurate expression profile from cell populations as small as ten cells.

The approximately 25,000 genes in mammalian genomes can be transcribed at different levels. Measurements of gene expression for ten thousands of genes in parallel give the most comprehensive picture of steady-state levels of transcripts and is used in basic and applied research. Microarrays are the most frequently used technology for genome-wide expression profiling; from the various available microarray platforms, Affymetrix GeneChips are most frequently used for expression profiling and over 3,000 scientific publications describe results of this technology. In medical research, expression profiling by microarrays holds great promises for better understanding of diseases, identification of new therapeutic targets, and subclassification of diseases to identify individualized treatment strategies.

The approximately 25,000 genes in mammalian genomes can be transcribed at different levels. Measurements of gene expression for ten thousands of genes in parallel give the most comprehensive picture of steady-state levels of transcripts and is used in basic and applied research. Microarrays are the most frequently used technology for genome-wide expression profiling; from the various available microarray platforms, Affymetrix GeneChips are most frequently used for expression profiling and over 3,000 scientific publications describe results of this technology. In medical research, expression profiling by microarrays holds great promises for better understanding of diseases, identification of new therapeutic targets, and subclassification of diseases to identify individualized treatment strategies.

Retinitis pigmentosa is an incurable retinal disease that leads to blindness. One puzzling aspect concerns the progression of the disease. Although most mutations that cause retinitis pigmentosa are in rod photoreceptor–specific genes, cone photoreceptors also die as a result of such mutations. To understand the mechanism of non-autonomous cone death, we analyzed four mouse models harboring mutations in rod-specific genes. We found changes in the insulin/mammalian target of rapamycin pathway that coincided with the activation of autophagy during the period of cone death. We increased or decreased the insulin level and measured the survival of cones in one of the models. Mice that were treated systemically with insulin had prolonged cone survival, whereas depletion of endogenous insulin had the opposite effect. These data suggest that the non-autonomous cone death in retinitis pigmentosa could, at least in part, be a result of the starvation of cones. Retinitis pigmentosa is a type of inherited retinal degeneration. It is currently untreatable and usually leads to blindness. With over 40 reintitis pigmentosa genes identified, it is the most common type of retinal degeneration caused by a single disease allele (RetNet, http://www.sph.uth.tmc.edu/Retnet/). The phenotype is characterized by an initial loss of night vision as a result of the malfunction and death of rod photoreceptors. This phase is followed by a progressive loss of cones. Because cones are responsible for color and high-acuity vision, it is their loss that leads to a reduction in the quality of life. In many cases, the disease-causing allele is expressed exclusively in rods; nonetheless, cones die as well. Indeed, to date there is no known form of retinal degeneration in humans or mice where rods die and cones survive. In contrast, mutations in cone-specific genes result only in cone death. Several theories have been proposed to explain this finding. For example, cone death could be a result of the release of a toxin produced by dying rods or the loss of a trophic factor that is produced by healthy rods 1‐6 . Alternatively, cone death could be caused by microglia that are mobilized initially during rod death 7 or by oxidative stress 8,9 .O xidative stress might also directly harm cones. The constant flow of oxygen through the retinal pigmented epithelium (RPE) to photoreceptors and the loss of rods, which are 95% of the photoreceptors in human and mouse, may result in an overload of oxygen to the remaining cones 10 . Evidence for all of these mechanisms exists in mice, yet none are able to fully explain why cones may survive for many years in the absence of rods in humans. Nonetheless, rodents are a very good model for this type of retinal degeneration. Although the rodent retina lacks a macula, which is the cone-rich and rod-free area that is present in humans, the macula is not involved in the initial phase of the disease. In humans, retinitis pigmentosa starts outside of the macula, where the distribution of rods and cones is similar to that in mice. To determine the common underlying mechanism for cone death in retinitis pigmentosa, we compared four mouse models harboring mutations in rod-specific genes (Pde6b ‐/‐ (ref. 11), Pde6g ‐/‐ (ref. 12), Rho ‐/‐ (ref. 13) and P23H 14 , which carries a Rho transgene that has an amino acid subsitution of histidine for proline at amino acid 23, as occurs in some human cases of retinitis pigmentosa, see Methods). Affymetrix arrays were used to identify common changes in gene expression that accompany cone death. Changes in a substantial number of genes involved in cellular metabolism coincided with the onset of cone death. These changes were suggestive of cones suffering from a shortage of nutrients. We then found that cones showed signs of autophagy, a cellular self-digestion process, which is consistent with prolonged starvation. We also found that several aspects of the insulin/ mammalian target of rapamycin (mTOR) pathway, an important pathway that regulates cellular metabolism, were affected during the period of cone degeneration. As a result of this finding, we increased and decreased the insulin level and measured the survival of cones in one of the models. Mice treated systemically with insulin had prolonged cone survival, whereas depletion of endogenous insulin had the opposite effect. Therefore, cone starvation is a likely contributor to the slow demise of cones in humans with retinitis pigmentosa. Treatments aimed at improving nutrition of cones are thus a plausible therapeutic avenue. RESULTS Photoreceptor death kinetics and microarray analysis To establish a framework for comparing gene expression in four different models of retinitis pigmentosa, we established the equivalent stages of disease pathology through examination of the kinetics of rod (Fig. 1 and Supplementary Figs. 1 and 2 online) and cone (Fig. 2 and

Homeodomain-containing transcription factors are important regulators of stem cell behavior. HOXB4 mediates expansion of adult and embryo-derived hematopoietic stem cells (HSCs) when expressed ectopically. To define the underlying molecular mechanisms, we performed gene expression profiling in combination with subsequent functional analysis with enriched adult HSCs and embryonic derivatives expressing inducible HOXB4. Thereby, we identified a set of overlapping genes that likely represent “universal” targets of HOXB4. A substantial number of loci are involved in signaling pathways important for controlling self-renewal, maintenance, and differentiation of stem cells. Functional assays performed on selected pathways confirmed the biological coherence of the array results. HOXB4 activity protected adult HSCs from the detrimental effects mediated by the proinflammatory cytokine TNF-α. This protection likely contributes to the competitive repopulation advantage of HOXB4-expressing HSCs observed in vivo . The concept of TNF-α inhibition may also prove beneficial for patients undergoing bone marrow transplantation. Furthermore, we demonstrate that HOXB4 activity and FGF signaling are intertwined. HOXB4-mediated expansion of adult and ES cell-derived HSCs was enhanced by specific and complete inhibition of FGF receptors. In contrast, the expanding activity of HOXB4 on hematopoietic progenitors in day 4–6 embryoid bodies was blunted in the presence of basic FGF (FGF2), indicating a dominant negative effect of FGF signaling on the earliest hematopoietic cells. In summary, our results strongly suggest that HOXB4 modulates the response of HSCs to multiple extrinsic signals in a concerted manner, thereby shifting the balance toward stem cell self-renewal.

The E2f7 and E2f8 family members are thought to function as transcriptional repressors important for the control of cell proliferation. Here, we have analyzed the consequences of inactivating E2f7 and E2f8 in mice and show that their individual loss had no significant effect on development. Their combined ablation, however, resulted in massive apoptosis and dilation of blood vessels, culminating in lethality by embryonic day E11.5. A deficiency in E2f7 and E2f8 led to an increase in E2f1 and p53, as well as in many stress-related genes. Homo- and heterodimers of E2F7 and E2F8 were found on target promoters, including E2f1. Importantly, loss of either E2f1 or p53 suppressed the massive apoptosis in double-mutant embryos. These results identify E2F7 and E2F8 as a unique repressive arm of the E2F transcriptional network that is critical for embryonic development and control of the E2F1-p53 apoptotic axis.

Microarrays have revolutionized many areas of biology due to our technical ability to quantify tens of thousands of transcripts within a single experiment. However, there are still many areas that cannot benefit from this technology due to the amount of biological material needed for microarray analysis. In response to this demand, chemistries have been developed that boast the capability of generating targets from nanogram amounts of total RnA, reflecting minimal amounts of biological material, on the order of several hundred or thousand cells. Herein, we describe the evaluation of four chemistries for RnA amplification in terms of reproducibility, sensitivity, accuracy, and comparability to results from a single round of T7 amplification. No evidence for false-positive measurements of differential expression was observed. In contrast, clear differences between chemistries in sensitivity and accuracy were detected. PCR validation showed an interaction of probe sequence on the array and target labeling chemistry, resulting in a chemistry-dependent probe set sensitivity varying over an order of magnitude.

Alterations of normal gene expression patterns are a hallmark of human cancers. It is now clear that the dysregulation of epigenetic modifications of the DNA and surrounding histones contributes to aberrant gene silencing, thus being major participants not only in the progression but also the initiation of the disease phenotype. The best-studied epigenetic modification is DNA methylation, which converts cytosine to 5-methylcytosine. Aberrant hypermethylation of the promoter is frequently observed in cancer and is generally associated with gene silencing. Currently, accurate and reproducible quantification of DNA methylation remains challenging. Here, we describe Bio-COBRA, a modified protocol for Combined Bisulfite Restriction Analysis (COBRA), that incorporates an electrophoresis step in microfluidics chips. Microfluidics technology involves the handling of small amounts of liquid in miniaturized systems. In the life sciences, microfluidics usually entails the scaling down of at least one application, such as electrophoresis, to chip format, which often results in increased efficiency and reliability. Bio-COBRA provides a platform for the rapid and quantitative assessment of DNA methylation patterns in large sample sets. Its sensitivity and reproducibility also makes it a tool for the analysis of DNA methylation in clinical samples. The Bio-COBRA assay can be performed on 12 samples in less than 1 h. If the protocol is started at the DNA isolation step, however, approximately 48 h would be required to complete the entire procedure.

Urinary tract malformations, obstructive uropathy, and hypoplasia/dysplasia are extremely important in terms of pediatric health care costs, with end-stage renal failure in children estimated to cost >$15 billion annually in the United States alone. Even so, little is known regarding the mechanisms that control these processes. Identified was a unique mutant mouse model that develops in utero megabladder, resulting in variable hydroureteronephrosis and chronic renal failure secondary to obstructive uropathy. These animals, designated mgb for megabladder, possess a primary defect in bladder smooth muscle development that is apparent by embryonic day 15. The mgb mouse represents an excellent model for the study of normal and pathogenic bladder development, including the postnatal progression of chronic renal failure that results from the development of in utero obstructive uropathy.

Background Array-based comparative genomic hybridization (aCGH) is a high-throughput method for measuring genome-wide DNA copy number changes. Current aCGH methods have limited resolution, sensitivity and reproducibility. Microarrays for aCGH are available only for a few organisms and combination of aCGH data with expression data is cumbersome. Results We present a novel method of using commercial oligonucleotide expression microarrays for aCGH, enabling DNA copy number measurements and expression profiles to be combined using the same platform. This method yields aCGH data from genomic DNA without complexity reduction at a median resolution of approximately 17,500 base pairs. Due to the well-defined nature of oligonucleotide probes, DNA amplification and deletion can be defined at the level of individual genes and can easily be combined with gene expression data. Conclusion A novel method of gene resolution analysis of copy number variation (graCNV) yields high-resolution maps of DNA copy number changes and is applicable to a broad range of organisms for which commercial oligonucleotide expression microarrays are available. Due to the standardization of oligonucleotide microarrays, graCNV results can reliably be compared between laboratories and can easily be combined with gene expression data using the same platform.

DNA methylation is the best-studied epigenetic modification and describes the conversion of cytosine to 5-methylcytosine. The importance of this phenomenon is that aberrant promoter hypermethylation is a common occurrence in cancer and is frequently associated with gene silencing. Various techniques are currently available for the analysis of DNA methylation. However, accurate and reproducible quantification of DNA methylation remains challenging. In this report, we describe Bio-COBRA (combined bisulfite restriction analysis coupled with the Agilent 2100 Bioanalyzer platform), as a novel approach to quantitative DNA methylation analysis. The combination of a well-established method, COBRA, which interrogates DNA methylation via the restriction enzyme analysis of PCR-amplified bisulfite treated DNAs, with the Bioanalyzer platform allows for the rapid and quantitative assessment of DNA methylation patterns in large sample sets. The sensitivity and reproducibility of Bio-COBRA make it a valuable tool for the analysis of DNA methylation in clinical samples, which could aid in the development of diagnostic and prognostic parameters with respect to disease detection and management.

Papillary thyroid carcinoma (PTC) is clinically heterogeneous. Apart from an association with ionizing radiation, the etiology and molecular biology of PTC is poorly understood. We used oligo-based DNA arrays to study the expression profiles of eight matched pairs of normal thyroid and PTC tissues. Additional PTC tumors and other tissues were studied by reverse transcriptase–PCR and immunohistochemistry. The PTCs showed concordant expression of many genes and distinct clustered profiles. Genes with increased expression in PTC included many encoding adhesion and extracellular matrix proteins. Expression was increased in 8/8 tumors for 24 genes and in 7/8 tumors for 22 genes. Among these genes were several previously known to be overexpressed in PTC, such as MET , LGALS3 , KRT19 , DPP4 , MDK , TIMP1 , and FN1 . The numerous additional genes include CITED1 , CHI3L1 , ODZ1 , N33 , SFTPB , and SCEL . Reverse transcriptase–PCR showed high expression of CITED1 , CHI3L1 , ODZ1 , and SCEL in 6/6 additional PTCs. Immunohistochemical analysis detected CITED1 and SFTPB in 49/52 and 39/52 PTCs, respectively, but not in follicular thyroid carcinoma and normal thyroid tissue. Genes underexpressed in PTC included tumor suppressors, thyroid function-related proteins, and fatty acid binding proteins. Expression was decreased in 7/8 tumors for eight genes and decreased in 6/8 tumors for 19 genes. We conclude that, despite its clinical heterogeneity, PTC is characterized by consistent and specific molecular changes. These findings reveal clues to the molecular pathways involved in PTC and may provide biomarkers for clinical use.

Nat. Genet, 35, 292–293 (2003). The name of the fifth author was spelled incorrectly. The correct spelling is “Guido Marcucci”.

An electrophysiological method was used to examine the neurological basis of stimulus specificity in the frog corneal reflex. Anesthetized frogs possessing an intact corneal reflex were stimulated in a variety of ways and source density maps were constructed from the synaptic potentials recorded in the medulla oblongata at the level of the abducens nucleus. These maps, considered in relation to the effectiveness of the various stimuli for producing an eye retraction, suggest a set of characteristic physiological properties for the afferent nerve fibers which lie in the frog corneal reflex pathway. There appears to be a 100-μ separation in the medulla between the sites of termination of two groups of afferent myelinated nerve fibers. One group, consisting of the fastest conducting fibers, terminates medially, while the other group, consisting of fibers having a slower conduction velocity and a higher electrical threshold, terminates laterally. Two results further suggest that the frog corneal reflex may involve only those fibers which terminate in the lateral locus. First, the reflex motor cell response which follows an effective stimulation of the snout does not occur until 1 or 2 msec after the appearance of lateral activity, in spite of the much greater medial activity which occurs 2 msec before the lateral activity. Secondly, the activity following corneal stimulation is completely confined to the lateral locus. These results also suggest that the stimulus specificity of the frog corneal reflex rests simply on the relatively high density of small diameter fibers terminating peripherally in the cornea and centrally in the lateral locus. Finally, it is shown how ischemia could account for the abnormal eye reflexes which have been induced in amphibia by transplantation.

In this paper I argue that because we always observe nature through some spatial-temporal averaging operation we must interpret all observed statistical covariances of velocities and gradients as partial time derivatives. Systematic application of this result leads to a new interpretation of the radiation wave equation in whichc2 measures the statistical variance of velocity. The Galilean invariance ofc2 is then automatic. These results enable us to recast the Einstein-Minkowski space-time formalism within the framework of classical statistical mechanics. However, the Einstein work-energy relation and the constancy of the speed of light appear as equivalent approximations which become exact only in the adiabatic limit.

An electrostatic mechanism for force generation in muscle is proposed which does not require bond formation between thick and thin filaments nor movement of the cross bridges. The myosin heads, which project from the thick filaments and touch the thin filaments, possess a high negative surface charge density. Owing to their large dielectric increment, the thin filaments are polarized by the electric field generated by the myosin heads. The polarized thin filaments tend to move toward the center of the sarcomere. Myosin ATPase activity is increased in the overlap region to maintain the negative surface potential. Thus, ATP hydrolysis provides the energy for shortening. Calculations give estimated tensions generated by this model that are comparable to those observed experimentally for vertebrate striated muscle.

To each finite dimensional real Lie algebra with integer structure constants there corresponds a countable family of discrete finite nilpotent Lie analogs. Each finite Lie analog maps exponentially onto a finite unipotent group G, and is isomorphic to the Lie algebra of G. Reformulation of quantum field theory in discrete finite form, utilizing nilpotent Lie analogs, should elminate all divergence problems even though some non‐Abelian gauge symmetry may not be spontaneously broken. Preliminary results in the new finite representation theory indicate that a natural hierarchy of spontaneously broken symmetries can arise from a single unbroken non‐Abelian gauge symmetry, and suggest the possibility of a new unified group theoretic interpretation for hadron colors and flavors.

MANY macroscopic quantities have microscopic counterparts. The microscopic counterpart of gas pressure, for example, is the instantaneous mechanical force exerted by gas molecules on a unit area. In the analysis of such physical quantities the role of statistical mechanics is conceptually straightforward; it is the calculation of average (macroscopic) values for selected microscopic mechanical quantities A. Such calculations have contributed a great deal to our understanding of the form taken by the equation of state for various materials placed in different environments1.