A genome-wide approach to comparative oncology: high-resolution oligonucleotide aCGH of canine and human osteosarcoma pinpoints shared microaberrations

2012 ◽  
Vol 205 (11) ◽  
pp. 572-587 ◽  
Author(s):  
Andrea Y. Angstadt ◽  
Venugopal Thayanithy ◽  
Subbaya Subramanian ◽  
Jaime F. Modiano ◽  
Matthew Breen
2014 ◽  
Vol 22 (S3) ◽  
pp. 1419-1427 ◽  
Author(s):  
Pei-Ching Lin ◽  
Jen-Kou Lin ◽  
Chien-Hsing Lin ◽  
Hung-Hsin Lin ◽  
Shung-Haur Yang ◽  
...  

2018 ◽  
Author(s):  
Jie Zhang ◽  
Massimo Cavallaro ◽  
Daniel Hebenstreit

Transcription of many genes in metazoans is subject to polymerase pausing, which corresponds to the transient arrest of transcriptionally engaged polymerase. It occurs mainly at promoter proximal regions and is not well understood. In particular, a genome-wide measurement of pausing times at high resolution has been lacking.We present here an extension of PRO-seq, time variant PRO-seq (TV-PRO-seq), that allowed us to estimate genome-wide pausing times at single base resolution. Its application to human cells reveals that promoter proximal pausing is surprisingly short compared to other regions and displays an intricate pattern. We also find precisely conserved pausing profiles at tRNA and rRNA genes and identified DNA motifs associated with pausing time. Finally, we show how chromatin states reflect differences in pausing times.


2013 ◽  
Vol 15 (5) ◽  
pp. 581-591 ◽  
Author(s):  
Lu Wang ◽  
Mamta Rao ◽  
Yuqiang Fang ◽  
Meera Hameed ◽  
Agnes Viale ◽  
...  

2019 ◽  
Vol 36 (1) ◽  
pp. 10-16
Author(s):  
Peng Xu ◽  
Timothy Kennell ◽  
Min Gao ◽  
Robert P Kimberly ◽  
Zechen Chong ◽  
...  

Abstract Motivation Meiotic recombination facilitates the transmission of exchanged genetic material between homologous chromosomes and plays a crucial role in increasing the genetic variations in eukaryotic organisms. In humans, thousands of crossover events have been identified by genotyping related family members. However, most of these crossover regions span tens to hundreds of kb, which is not sufficient resolution to accurately identify the crossover breakpoints in a typical trio family. Results We have developed MRLR, a software using 10X linked reads to identify crossover events at a high resolution. By reconstructing the gamete genome, MRLR only requires a trio family dataset and can efficiently discover the crossover events. Using MRLR, we revealed a fine-scale pattern of crossover regions in six human families. From the two closest heterozygous alleles around the crossovers, we determined that MRLR achieved a median resolution 4.5 kb. This method can delineate a genome-wide landscape of crossover events at a precise scale, which is important for both functional and genomic features analysis of meiotic recombination. Availability and implementation MRLR is freely available at https://github.com/ChongLab/MRLR, implemented in Perl. Supplementary information Supplementary data are available at Bioinformatics online.


Genetics ◽  
1996 ◽  
Vol 142 (1) ◽  
pp. 247-258
Author(s):  
Sin-Chieh Liu ◽  
Stanley P Kowalski ◽  
Tien-Hung Lan ◽  
Kenneth A Feldmann ◽  
Andrew H Paterson

We demonstrate a method for developing populations suitable for genome-wide high-resolution genetic linkage mapping, by recurrent intermating among F2 individuals derived from crosses between homozygous parents. Comparison of intermated progenies to F2 and “recombinant inbred” (RI) populations from the same pedigree corroborate theoretical expectations that progenies intermated for four generations harbor about threefold more information for estimating recombination fraction between closely linked markers than either RI-selfed or F2 individuals (which are, in fact, equivalent in this regard). Although intermated populations are heterozygous, homozygous “intermated recombinant inbred” (IRI) populations can readily be generated, combining additional information afforded by intermating with the permanence of RI populations. Intermated populations permit fine-mapping of genetic markers throughout a genome, helping to bridge the gap between genetic map resolution and the DNA-carrying capacity of modern cloning vectors, thus facilitating merger of genetic and physical maps. Intermating can also facilitate high-resolution mapping of genes and QTLs, accelerating map-based cloning. Finally, intermated populations will facilitate investigation of other fundamental genetic questions requiring a genome-wide high-resolution analysis, such as comparative mapping of distantly related species, and the genetic basis of heterosis.


2011 ◽  
Vol 50 (9) ◽  
pp. 673-679 ◽  
Author(s):  
Twinkal C. Pansuriya ◽  
Jan Oosting ◽  
Suzan H. M. Verdegaal ◽  
Adrienne M. Flanagan ◽  
Raf Sciot ◽  
...  

1999 ◽  
Vol 32 (4) ◽  
pp. 285-307 ◽  
Author(s):  
Gunnar von Heijne

1. Introduction 2862. Membrane protein assembly inE. coli2862.1. Role of the SRP 2872.2. YidC – a translocon component devoted to membrane proteins? 2872.3. The TAT pathway 2882.4. ‘Spontaneous’ membrane protein insertion 2883. Membrane protein assembly in the ER 2893.1. How TM segments exit the translocon 2893.2. Proteins with multiple topologies 2903.3. Stop-transfer effector sequences 2913.4. Non-hydrophobic TM segments? 2913.5. ‘Frustrated’ topologies 2913.6. N-tail translocation across the ER 2924. Membrane protein assembly in mitochondria 2924.1. The Oxa1p pathway 2924.2. The TIM22/54 pathway 2935. Evolution of membrane protein topology 2935.1. RnfA/RnfE – two homologous proteins with opposite topologies 2935.2. YrbG – duplicating an odd number of TMs 2946. Genome-wide analysis of membrane proteins 2956.1. Prediction methods 2956.2. How many membrane proteins are there? 2956.3. The positive-inside rule 2966.4. Dominant classes of membrane proteins 2967. The structure of transmembrane α-helices 2967.1. What TM helices look like 2977.2. The ‘helical hairpin’ 2977.3. Prolines in TM helices 2977.4. Charged residues in TM helices: the ‘snorkel’ effect 2987.5. The ‘aromatic belt’ 2988. Helix–helix packing in a membrane environment 2988.1. Lessons learnt from glycophorin A 2988.2. Genetic screens for helix–helix interactions 2998.3. Statistical studies 2998.4. Membrane protein folding 2999. Recent 3D structures 3009.1. KcsA – the first ion channel 3009.2. MscL – sensing lateral pressure changes 3009.3. The cytochrome bc 1 complex 3009.4. Fumarate reductase 3019.5. Bacteriorhodopsin – watching a membrane protein at work 30110. Concluding remarks 30111. Acknowledgements 30212. References 302For a variety of reasons – not the least biomedical importance – integral membrane proteins are now very much in focus in many areas of molecular biology, biochemistry, biophysics, and cell biology. Our understanding of the basic processes of membrane protein assembly, folding, and structure has grown significantly in recent times, both as a result of new methodological developments, more high-resolution structure data, and the possibility to analyze membrane proteins on a genome-wide scale.So what is new in the membrane protein field? Various aspects of membrane protein assembly and structure have been reviewed over the past few years (Cowan & Rosenbusch, 1994; Hegde & Lingappa, 1997; Lanyi, 1997; von Heijne, 1997; Bernstein, 1998); here, I will try to bring together a number of exciting recent developments. Particularly noteworthy are the discoveries related to the mechanisms of membrane protein assembly into the inner membrane of E. coli, the inner membrane of mitochondria, and the way transmembrane segments are handled by the ER translocon.Other advances include detailed studies of the interaction between transmembrane helices and the lipid bilayer, and of helix–helix packing interactions in the membrane environment. The availability of full genomic sequences have made it possible to study membrane proteins on a genome-wide scale. Finally, a handful of new high-resolution 3D structures have appeared.This review will deal only with helix bundle proteins, i.e. integral membrane proteins where the transmembrane segments form α-helices. For reviews on the other major class of integral membrane proteins – the β-barrel proteins – see Schirmer (1998) and Buchanan (1999). For readers who prefer a more ‘literary’ introduction to the membrane protein field, may I suggest von Heijne (1999).


2014 ◽  
Vol 226 (03) ◽  
Author(s):  
F Ponthan ◽  
D Pal ◽  
J Vormoor ◽  
O Heidenreich
Keyword(s):  

2007 ◽  
Vol 30 (4) ◽  
pp. 86
Author(s):  
M. Lanktree ◽  
J. Robinson ◽  
J. Creider ◽  
H. Cao ◽  
D. Carter ◽  
...  

Background: In Dunnigan-type familial partial lipodystrophy (FPLD) patients are born with normal fat distribution, but subcutaneous fat from extremities and gluteal regions are lost during puberty. The abnormal fat distribution leads to the development of metabolic syndrome (MetS), a cluster of phenotypes including hyperglycemia, dyslipidemia, hypertension, and visceral obesity. The study of FPLD as a monogenic model of MetS may uncover genetic risk factors of the common MetS which affects ~30% of adult North Americans. Two molecular forms of FPLD have been identified including FPLD2, resulting from heterozygous mutations in the LMNA gene, and FPLD3, resulting from both heterozygous dominant negative and haploinsufficiency mutations in the PPARG gene. However, many patients with clinically diagnosed FPLD have no mutation in either LMNA or PPARG, suggesting the involvement of additional genes in FPLD etiology. Methods: Here, we report the results of an Affymetrix 10K GeneChip microarray genome-wide linkage analysis study of a German kindred displaying the FPLD phenotype and no known lipodystrophy-causing mutations. Results: The investigation identified three chromosomal loci, namely 1q, 3p, and 9q, with non-parametric logarithm of odds (NPL) scores >2.7. While not meeting the criteria for genome-wide significance, it is interesting to note that the 1q and 3p peaks contain the LMNA and PPARG genes respectively. Conclusions: Three possible conclusions can be drawn from these results: 1) the peaks identified are spurious findings, 2) additional genes physically close to LMNA, PPARG, or within 9q, are involved in FPLD etiology, or 3) alternative disease causing mechanisms not identified by standard exon sequencing approaches, such as promoter mutations, alternative splicing, or epigenetics, are also responsible for FPLD.


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