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Start Over Author "Austin, N." Publisher escholarship, university of california
13 results on '"Austin, N."'

2. Nanopore sequencing identifies a higher frequency and expanded spectrum of mitochondrial DNA deletion mutations in human aging

Author

Vandiver, Amy R, Hoang, Austin N, Herbst, Allen, Lee, Cathy C, Aiken, Judd M, McKenzie, Debbie, Teitell, Michael A, Timp, Winston, and Wanagat, Jonathan

Subjects
Biological Sciences, Genetics, Clinical Research, Human Genome, Aging, Male, Humans, Nanopore Sequencing, Sequence Deletion, Longevity, DNA, Mitochondrial, aging, DNA sequencing, human, mitochondrial DNA, skeletal muscle, substantia nigra, Medical and Health Sciences, Developmental Biology, Biological sciences, Biomedical and clinical sciences
Abstract

Mitochondrial DNA (mtDNA) deletion mutations cause many human diseases and are linked to age-induced mitochondrial dysfunction. Mapping the mutation spectrum and quantifying mtDNA deletion mutation frequency is challenging with next-generation sequencing methods. We hypothesized that long-read sequencing of human mtDNA across the lifespan would detect a broader spectrum of mtDNA rearrangements and provide a more accurate measurement of their frequency. We employed nanopore Cas9-targeted sequencing (nCATS) to map and quantitate mtDNA deletion mutations and develop analyses that are fit-for-purpose. We analyzed total DNA from vastus lateralis muscle in 15 males ranging from 20 to 81 years of age and substantia nigra from three 20-year-old and three 79-year-old men. We found that mtDNA deletion mutations detected by nCATS increased exponentially with age and mapped to a wider region of the mitochondrial genome than previously reported. Using simulated data, we observed that large deletions are often reported as chimeric alignments. To address this, we developed two algorithms for deletion identification which yield consistent deletion mapping and identify both previously reported and novel mtDNA deletion breakpoints. The identified mtDNA deletion frequency measured by nCATS correlates strongly with chronological age and predicts the deletion frequency as measured by digital PCR approaches. In substantia nigra, we observed a similar frequency of age-related mtDNA deletions to those observed in muscle samples, but noted a distinct spectrum of deletion breakpoints. NCATS-mtDNA sequencing allows the identification of mtDNA deletions on a single-molecule level, characterizing the strong relationship between mtDNA deletion frequency and chronological aging.

Published
2023

3. Age- and time-dependent mitochondrial genotoxic and myopathic effects of beta-guanidinopropionic acid, a creatine analog, on rodent skeletal muscles

Author

Herbst, Allen, Aiken, Judd M, Kim, Chiye, Gushue, Danielle, McKenzie, Debbie, Moore, Timothy M, Zhou, Jin, Hoang, Austin N, Choi, Solbie, and Wanagat, Jonathan

Subjects
Biological Sciences, Medical Physiology, Biomedical and Clinical Sciences, Aging, Genetics, Metabolic and endocrine, Rats, Animals, Creatine, Rodentia, Muscle, Skeletal, DNA, Mitochondrial, Obesity, DNA Damage, Guanidinopropionic acid, Skeletal muscle, Mitochondria, Clinical sciences
Abstract

Beta-guanidinopropionic acid (GPA) is a creatine analog suggested as a treatment for hypertension, diabetes, and obesity, which manifest primarily in older adults. A notable side effect of GPA is the induction of mitochondrial DNA deletion mutations. We hypothesized that mtDNA deletions contribute to muscle aging and used the mutation promoting effect of GPA to examine the impact of mtDNA deletions on muscles with differential vulnerability to aging. Rats were treated with GPA for up to 4 months starting at 14 or 30 months of age. We examined quadriceps and adductor longus muscles as the quadriceps exhibits profound age-induced deterioration, while adductor longus is maintained. GPA decreased body and muscle mass and mtDNA copy number while increasing mtDNA deletion frequency. The interactions between age and GPA treatment observed in the quadriceps were not observed in the adductor longus. GPA had negative mitochondrial effects in as little as 4 weeks. GPA treatment exacerbated mtDNA deletions and muscle aging phenotypes in the quadriceps, an age-sensitive muscle, while the adductor longus was spared. GPA has been proposed for use in age-associated diseases, yet the pharmacodynamics of GPA differ with age and include the detrimental induction of mtDNA deletions, a mitochondrial genotoxic stress that is pronounced in muscles that are most vulnerable to aging. Further research is needed to determine if the proposed benefits of GPA on hypertension, diabetes, and obesity outweigh the detrimental mitochondrial and myopathic side effects.

Published
2023

4. Long read mitochondrial genome sequencing using Cas9-guided adaptor ligation

Author

Vandiver, Amy R, Pielstick, Brittany, Gilpatrick, Timothy, Hoang, Austin N, Vernon, Hillary J, Wanagat, Jonathan, and Timp, Winston

Subjects
Biological Sciences, Genetics, Clinical Research, HIV/AIDS, Human Genome, Base Sequence, CRISPR-Cas Systems, DNA, Mitochondrial, Genome, Mitochondrial, High-Throughput Nucleotide Sequencing, Humans, Mitochondria, Sequence Analysis, DNA, mtDNA, Sequencing, mtDNA deletions, SNPs, Aging, Biochemistry & Molecular Biology, Biochemistry and cell biology
Abstract

The mitochondrial genome (mtDNA) is an important source of disease-causing genetic variability, but existing sequencing methods limit understanding, precluding phased measurement of mutations and clear detection of large sporadic deletions. We adapted a method for amplification-free sequence enrichment using Cas9 cleavage to obtain full length nanopore reads of mtDNA. We then utilized the long reads to phase mutations in a patient with an mtDNA-linked syndrome and demonstrated that this method can map age-induced mtDNA deletions. We believe this method will offer deeper insight into our understanding of mtDNA variation.

Published
2022

5. Age‐induced mitochondrial DNA point mutations are inadequate to alter metabolic homeostasis in response to nutrient challenge

Author

Moore, Timothy M, Zhou, Zhenqi, Strumwasser, Alexander R, Cohn, Whitaker, Lin, Amanda J, Cory, Kevin, Whitney, Kate, Ho, Theodore, Ho, Timothy, Lee, Joseph L, Rucker, Daniel H, Hoang, Austin N, Widjaja, Kevin, Abrishami, Aaron D, Charugundla, Sarada, Stiles, Linsey, Whitelegge, Julian P, Turcotte, Lorraine P, Wanagat, Jonathan, and Hevener, Andrea L

Subjects
Biochemistry and Cell Biology, Biomedical and Clinical Sciences, Biological Sciences, Genetics, Nutrition, Diabetes, Obesity, Aging, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Metabolic and endocrine, Animals, DNA, Mitochondrial, Diet, High-Fat, Disease Models, Animal, Homeostasis, Mice, Mitochondria, Liver, Mitochondria, Muscle, Nutrients, Point Mutation, Starvation, aging, insulin resistance, metabolism, mitochondria, mitochondrial DNA, obesity, POLG, Medical and Health Sciences, Developmental Biology, Biological sciences, Biomedical and clinical sciences
Abstract

Mitochondrial dysfunction is frequently associated with impairment in metabolic homeostasis and insulin action, and is thought to underlie cellular aging. However, it is unclear whether mitochondrial dysfunction is a cause or consequence of insulin resistance in humans. To determine the impact of intrinsic mitochondrial dysfunction on metabolism and insulin action, we performed comprehensive metabolic phenotyping of the polymerase gamma (PolG) D257A "mutator" mouse, a model known to accumulate supraphysiological mitochondrial DNA (mtDNA) point mutations. We utilized the heterozygous PolG mutator mouse (PolG+/mut ) because it accumulates mtDNA point mutations ~ 500-fold > wild-type mice (WT), but fails to develop an overt progeria phenotype, unlike PolGmut/mut animals. To determine whether mtDNA point mutations induce metabolic dysfunction, we examined male PolG+/mut mice at 6 and 12 months of age during normal chow feeding, after 24-hr starvation, and following high-fat diet (HFD) feeding. No marked differences were observed in glucose homeostasis, adiposity, protein/gene markers of metabolism, or oxygen consumption in muscle between WT and PolG+/mut mice during any of the conditions or ages studied. However, proteomic analyses performed on isolated mitochondria from 12-month-old PolG+/mut mouse muscle revealed alterations in the expression of mitochondrial ribosomal proteins, electron transport chain components, and oxidative stress-related factors compared with WT. These findings suggest that mtDNA point mutations at levels observed in mammalian aging are insufficient to disrupt metabolic homeostasis and insulin action in male mice.

Published
2020

6. Mitochondrial DNA alterations in aged macrophage migration inhibitory factor-knockout mice

Author

Herbst, Allen, Hoang, Austin N, Woo, Wendy, McKenzie, Debbie, Aiken, Judd M, Miller, Richard A, Allison, David B, Liu, Nianjun, and Wanagat, Jonathan

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Aging, 2.1 Biological and endogenous factors, Aetiology, Animals, Cellular Senescence, DNA Copy Number Variations, DNA, Mitochondrial, Intramolecular Oxidoreductases, Longevity, Macrophage Migration-Inhibitory Factors, Macrophages, Mice, Mice, Knockout, Macrophage migration inhibitory factor, Mitochondrial DNA, Mutation, Skeletal muscle, Clinical Sciences, Gerontology, Biochemistry and cell biology, Clinical sciences
Abstract

The age-induced, exponential accumulation of mitochondrial DNA (mtDNA) deletion mutations contributes to muscle fiber loss. The causes of these mutations are not known. Systemic inflammation is associated with decreased muscle mass in older adults and is implicated in the formation of sporadic mtDNA deletions. Macrophage migration inhibitory factor knockout (MIF-KO) mice are long-lived with decreased inflammation. We hypothesized that aged MIF-KO mice would have lower mtDNA deletion frequencies and fewer electron transport chain (ETC) deficient fibers. We measured mtDNA copy number and mutation frequency as well as the number and length of ETC deficient fibers in 22-month old MIF-KO and F2 hybrid control mice. We also measured mtDNA copy number and deletion frequency in female UM-HET3 mice, a strain whose lifespan matches the MIF-KO mice. We did not observe a significant effect of MIF ablation on muscle mtDNA deletion frequency. There was a significantly lower mtDNA copy number in the MIF-KO mice and the lifespan-matched UM-HET3 mice compared to the F2 hybrids, suggesting the importance of genetic background in mtDNA copy number control. Our data do not support a definitive role for MIF in age-induced mtDNA deletions.

Published
2019

7. Age-Related Differences in Socio-demographic and Behavioral Determinants of HIV Testing and Counseling in HPTN 043/NIMH Project Accept

Author

Salazar-Austin, N, Kulich, M, Chingono, A, Chariyalertsak, S, Srithanaviboonchai, K, Gray, G, Richter, L, van Rooyen, H, Morin, S, Sweat, M, Mbwambo, J, Szekeres, G, Coates, T, Celentano, D, and The NIMH Project Accept (HPTN 043) Study Team

Subjects
Public Health, Health Sciences, Behavioral and Social Science, Pediatric AIDS, Mental Health, Sexually Transmitted Infections, Pediatric, Infectious Diseases, Clinical Trials and Supportive Activities, HIV/AIDS, Clinical Research, Infection, Adolescent, Adult, Age Factors, Counseling, Cross-Sectional Studies, Female, HIV Infections, Humans, Male, Mass Screening, Patient Acceptance of Health Care, Sexual Partners, Socioeconomic Factors, South Africa, Tanzania, Thailand, Young Adult, Zimbabwe, NIMH Project Accept (HPTN 043) Study Team, Determinants HTC, High-risk sexual behavior, Mobile HIV testing and counseling, Project accept, Youth, Public Health and Health Services, Social Work, Public health
Abstract

Youth represent a large proportion of new HIV infections worldwide, yet their utilization of HIV testing and counseling (HTC) remains low. Using the post-intervention, cross-sectional, population-based household survey done in 2011 as part of HPTN 043/NIMH Project Accept, a cluster-randomized trial of community mobilization and mobile HTC in South Africa (Soweto and KwaZulu Natal), Zimbabwe, Tanzania and Thailand, we evaluated age-related differences among socio-demographic and behavioral determinants of HTC in study participants by study arm, site, and gender. A multivariate logistic regression model was developed using complete individual data from 13,755 participants with recent HIV testing (prior 12 months) as the outcome. Youth (18-24 years) was not predictive of recent HTC, except for high-risk youth with multiple concurrent partners, who were less likely (aOR 0.75; 95% CI 0.61-0.92) to have recently been tested than youth reporting a single partner. Importantly, the intervention was successful in reaching men with site specific success ranging from aOR 1.27 (95% CI 1.05-1.53) in South Africa to aOR 2.30 in Thailand (95% CI 1.85-2.84). Finally, across a diverse range of settings, higher education (aOR 1.67; 95% CI 1.42, 1.96), higher socio-economic status (aOR 1.21; 95% CI 1.08-1.36), and marriage (aOR 1.55; 95% CI 1.37-1.75) were all predictive of recent HTC, which did not significantly vary across study arm, site, gender or age category (18-24 vs. 25-32 years).

Published
2018

8. Distribution and prevalence of vector-borne diseases in California chipmunks (Tamias spp.).

Author

Straub, Mary H, Roy, Austin N, Martin, Amanda, Sholty, Kathleen E, Stephenson, Nicole, and Foley, Janet E

Subjects
Animals, Sciuridae, Prevalence, Disease Vectors, Environmental Exposure, Species Specificity, California, General Science & Technology
Abstract

California, with 13 chipmunk (Tamias) species, has more than any other state or country, occupying habitats ranging from chaparral to the high peaks of the Sierra Nevada. Chipmunks host zoonotic pathogens including Yersinia pestis, Anaplasma phagocytophilum, relapsing fever (RF) Borrelia spp., Borrelia burgdorferi, and spotted fever group (SFG) Rickettsia species. Chipmunk species are often not differentiated by public health workers, yet different species utilize different ecological niches and may have intrinsically different capacities for maintaining vector-borne pathogens and infecting vectors. We surveyed over 700 individuals from nine species of chipmunks throughout California for exposure to and infection by Y. pestis, A. phagocytophilum, RF Borrelia spp., Borrelia burgdorferi, and SFG Rickettsia species. DNA of all five pathogens was found and all chipmunks except Merriam's chipmunk (T. merriami) were PCR-positive for at least one of the pathogens. Anaplasma phagocytophilum was most common (40.0%, 2/5) in Sonoma chipmunks (T. sonomae) from Marin county and B. burgdorferi most common (37.5%, 27/72) in redwood chipmunks (T. ochrogenys) from Mendocino county. RF Borrelia spp. was detected in 2% (6/297) of redwood chipmunks in Mendocino county and 10% (1/10) of both least (T. minimus) and lodgepole (T. speciosus) chipmunks in the western Sierra. Exposure to SFG Rickettsia spp. was found in the Northern Coastal region (Del Norte, Humboldt and Mendocino counties) and in the northern and western Sierra in several species of chipmunks. Y. pestis infection was found only in the western Sierra-in a yellow-pine (T. amoenus) and a long-eared (T. quadrimaculatus) chipmunk. Though more data are needed to thoroughly understand the roles that different chipmunk species play in disease transmission, our findings suggest that some chipmunk species may be more important to the maintenance of vector-borne diseases than others within each geographic area.

Published
2017

9. The ATLAS Experiment at the CERN Large Hadron Collider

Author

Collaboration, The ATLAS, Aad, G, Abat, E, Abdallah, J, Abdelalim, AA, Abdesselam, A, Abdinov, O, Abi, BA, Abolins, M, Abramowicz, H, Acerbi, E, Acharya, BS, Achenbach, R, Ackers, M, Adams, DL, Adamyan, F, Addy, TN, Aderholz, M, Adorisio, C, Adragna, P, Aharrouche, M, Ahlen, SP, Ahles, F, Ahmad, A, Ahmed, H, Aielli, G, Åkesson, PF, Åkesson, TPA, Akimov, AV, Alam, SM, Albert, J, Albrand, S, Aleksa, M, Aleksandrov, IN, Aleppo, M, Alessandria, F, Alexa, C, Alexander, G, Alexopoulos, T, Alimonti, G, Aliyev, M, Allport, PP, Allwood-Spiers, SE, Aloisio, A, Alonso, J, Alves, R, Alviggi, MG, Amako, K, Amaral, P, Amaral, SP, Ambrosini, G, Ambrosio, G, Amelung, C, Ammosov, VV, Amorim, A, Amram, N, Anastopoulos, C, Anderson, B, Anderson, KJ, Anderssen, EC, Andreazza, A, Andrei, V, Andricek, L, Andrieux, M-L, Anduaga, XS, Anghinolfi, F, Antonaki, A, Antonelli, M, Antonelli, S, Apsimon, R, Arabidze, G, Aracena, I, Arai, Y, Arce, ATH, Archambault, JP, Arguin, J-F, Arik, E, Arik, M, Arms, KE, Armstrong, SR, Arnaud, M, Arnault, C, Artamonov, A, Asai, S, Ask, S, Åsman, B, Asner, D, Asquith, L, Assamagan, K, Astbury, A, Athar, B, Atkinson, T, Aubert, B, Auerbach, B, Auge, E, Augsten, K, Aulchenko, VM, Austin, N, Avolio, G, and Avramidou, R

Subjects
ATLAS, LHC, CERN, Accelerator, Proton-proton collisions, Heavy-ion collisions, Minimum-bias events, Bunch-crossings, Pile-up, Superconducting magnets, Solenoidal field, Toroidal field, Magnetic field measurements, Hall probes, Inner detector, Charged-particle tracking, Vertex measurement, Pixel detectors, Silicon micro-strip detectors, Transition radiation, Time-over-threshold, Radiation-hard electronics, Fluorinert cooling, Carbon-fibre reinforced plastics, Optical fibres, Calorimetry, Sampling calorimeters, Liquid argon, Scintillator tiles, Electromagnetic and hadronic interactions, Forward calorimetry, Accordion geometry, Lateral segmentation, Longitudinal segmentation, Muon spectrometer, Precision-tracking chambers, Trigger chambers, Drift tubes, Thin-gap chambers, Resistive-plate chambers, Optical alignment systems, Forward detectors, Cerenkov light, Roman Pots, Zero-degree calorimetry, Trigger and data acquisition, High-level trigger, Event filter, Detector control system, Bandwidth, Processor farm, Electrons, Muons, Leptons, Photons, Jets, Taus, Missing transverse energy, b-tagging, Particle identification, Tracking algorithms, Vertexing algorithms, Impact parameter measurements, Physical Sciences, Engineering, Nuclear & Particles Physics
Published
2008

10. The ATLAS experiment at the CERN large hadron collider

Author

Aad, G, Abat, E, Abdallah, J, Abdelalim, AA, Abdesselam, A, Abdinov, O, Abi, BA, Abolins, M, Abramowicz, H, Acerbi, E, Acharya, BS, Achenbach, R, Ackers, M, Adams, DL, Adamyan, F, Addy, TN, Aderholz, M, Adorisio, C, Adragna, P, Aharrouche, M, Ahlen, SP, Ahles, F, Ahmad, A, Ahmed, H, Aielli, G, Åkesson, PF, Akesson, TPA, Akimov, AV, Alam, SM, Albert, J, Albrand, S, Aleksa, M, Aleksandrov, IN, Aleppo, M, Alessandria, F, Alexa, C, Alexander, G, Alexopoulos, T, Alimonti, G, Aliyev, M, Allport, PP, Allwood-Spiers, SE, Aloisio, A, Alonso, J, Alves, R, Alviggi, MG, Amako, K, Amaral, P, Amaral, SP, Ambrosini, G, Ambrosio, G, Amelung, C, Ammosov, VV, Amorim, A, Amram, N, Anastopoulos, C, Anderson, B, Anderson, KJ, Anderssen, EC, Andreazza, A, Andrei, V, Andricek, L, Andrieux, ML, Anduaga, XS, Anghinolfi, F, Antonaki, A, Antonelli, M, Antonelli, S, Apsimon, R, Arabidze, G, Aracena, I, Arai, Y, Arce, ATH, Archambault, JP, Arguin, JF, Arik, E, Arik, M, Arms, KE, Armstrong, SR, Arnaud, M, Arnault, C, Artamonov, A, Asai, S, Ask, S, Åsman, B, Asner, D, Asquith, L, Assamagan, K, Astbury, A, Athar, B, Atkinson, T, Aubert, B, Auerbach, B, Auge, E, Augsten, K, Aulchenko, VM, Austin, N, Avolio, G, Avramidou, R, and Axen, A

Subjects
ATLAS, LHC, CERN, Accelerator, Proton-proton collisions, Heavy-ion collisions, Minimum-bias events, Bunch-crossings, Pile-up, Superconducting magnets, Solenoidal field, Toroidal field, Magnetic field measurements, Hall probes, Inner detector, Charged-particle tracking, Vertex measurement, Pixel detectors, Silicon micro-strip detectors, Transition radiation, Time-over-threshold, Radiation-hard electronics, Fluorinert cooling, Carbon-fibre reinforced plastics, Optical fibres, Calorimetry, Sampling calorimeters, Liquid argon, Scintillator tiles, Electromagnetic and hadronic interactions, Forward calorimetry, Accordion geometry, Lateral segmentation, Longitudinal segmentation, Muon spectrometer, Precision-tracking chambers, Trigger chambers, Drift tubes, Thin-gap chambers, Resistive-plate chambers, Optical alignment systems, Forward detectors, Cerenkov light, Roman Pots, Zero-degree calorimetry, Trigger and data acquisition, High-level trigger, Event filter, Detector control system, Bandwidth, Processor farm, Electrons, Muons, Leptons, Photons, Jets, Taus, Missing transverse energy, b-tagging, Particle identification, Tracking algorithms, Vertexing algorithms, Impact parameter measurements, Nuclear & Particles Physics, Other Physical Sciences, Physical Sciences, Engineering
Published
2008

11. Age- and time-dependent mitochondrial genotoxic and myopathic effects of beta-guanidinopropionic acid, a creatine analog, on rodent skeletal muscles

Author

Allen Herbst, Judd M. Aiken, Chiye Kim, Danielle Gushue, Debbie McKenzie, Timothy M. Moore, Jin Zhou, Austin N. Hoang, Solbie Choi, and Jonathan Wanagat

Subjects
Aging, Skeletal muscle, Rodentia, Skeletal, DNA, Creatine, Rats, Mitochondrial, Mitochondria, Genetics, Muscle, Animals, Original Article, Guanidinopropionic acid, Obesity, Geriatrics and Gerontology, Metabolic and endocrine, DNA Damage
Abstract

Beta-guanidinopropionic acid (GPA) is a creatine analog suggested as a treatment for hypertension, diabetes, and obesity, which manifest primarily in older adults. A notable side effect of GPA is the induction of mitochondrial DNA deletion mutations. We hypothesized that mtDNA deletions contribute to muscle aging and used the mutation promoting effect of GPA to examine the impact of mtDNA deletions on muscles with differential vulnerability to aging. Rats were treated with GPA for up to 4 months starting at 14 or 30 months of age. We examined quadriceps and adductor longus muscles as the quadriceps exhibits profound age-induced deterioration, while adductor longus is maintained. GPA decreased body and muscle mass and mtDNA copy number while increasing mtDNA deletion frequency. The interactions between age and GPA treatment observed in the quadriceps were not observed in the adductor longus. GPA had negative mitochondrial effects in as little as 4 weeks. GPA treatment exacerbated mtDNA deletions and muscle aging phenotypes in the quadriceps, an age-sensitive muscle, while the adductor longus was spared. GPA has been proposed for use in age-associated diseases, yet the pharmacodynamics of GPA differ with age and include the detrimental induction of mtDNA deletions, a mitochondrial genotoxic stress that is pronounced in muscles that are most vulnerable to aging. Further research is needed to determine if the proposed benefits of GPA on hypertension, diabetes, and obesity outweigh the detrimental mitochondrial and myopathic side effects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11357-022-00667-4.

Published
2023

12. Measurement of the inclusive and dijet cross-sections of b-jets in pp collisions at (Formula presented.) TeV with the ATLAS detector

Author

Aad, G, Abbott, B, Abdallah, JM, Abdelalim, AA, Abdesselam, A, Abdinov, OB, Abi, BA, Abolins, MA, Abramowicz, H, Abreu, H, Acerbi, E, Acharya, BS, Adams, DL, Addy, TN, Adelman, J, Aderholz, M, Adomeit, S, Adragna, P, Adye, TJ, Aefsky, S, Aguilar-Saavedra, JA, Aharrouche, M, Ahlen, SP, Ahles, F, Ahmad, A, Ahsan, MAH, Aielli, G, Akdoǧan, T, Åkesson, TPA, Akimoto, G, Akimov, AV, Akiyama, A, Alam, MS, Alam, MA, Albert, JB, Albrand, S, Aleksa, M, Aleksandrov, IN, Alessandria, F, Alexa, C, Alexander, GK, Alexandre, G, Alexopoulos, TA, Alhroob, M, Aliev, MA, Alimonti, G, Alison, JM, Aliyev, MI, Allport, PP, Allwood-Spiers, SE, Almond, JE, Aloisio, A, Alon, R, Alonso, A, Alviggi, MG, Amako, K, Amaral, PB, Amelung, C, Ammosov, VV, Amorim, AEA, Amorós, G, Amram, N, Anastopoulos, C, Ancu, LS, Andari, N, Andeen, TR, Anders, CF, Anders, G, Anderson, KJ, Andreazza, A, Andrei, V, Andrieux, ML, Anduaga, XS, Angerami, A, Anghinolfi, F, Anjos, N, Annovi, A, Antonaki, A, Antonelli, M, Antonov, A, Antoš, J, Anulli, F, Aoun, S, Aperio Bella, L, Apolle, R, Arabidze, G, Aracena, I, Arai, Y, Arce, ATH, Archambault, JP, Arfaoui, S, Arguin, JF, Arik, EB, Arik, M, Armbruster, AJ, Arnaez, O, Arnault, C, Artamonov, AV, Artoni, G, Arutinov, D, Asai, S, Asfandiyarov, RA, Ask, S, Åsman, BA, Asquith, L, Assamagan, KA, Astbury, A, Astvatsatourov, A, Atoian, GS, Aubert, B, Augé, E, Augsten, K, Aurousseau, M, Austin, N, Avolio, G, Avramidou, RM, Axen, DA, Ay, C, Azuelos, G, Azuma, Y, Baak, M, Baccaglioni, G, Bacci, C, Bach, AM, Bachacou, H, Bachas, K, Bachy, G, Backes, M, Backhaus, M, Badescu, E, Bagnaia, P, Bahinipati, S, Bai, Y, Bailey, DC, Bain, T, Baines, JTM, Baker, OK, Baker, MD, Baker, SH, Banaś, E, Banerjee, P, Banerjee, SW, Banfi, D, Bangert, A, Bansal, V, Bansil, HS, Barak, L, Baranov, SP, Barashkou, A, Barbaro-Galtieri, AA, Barber, TJ, Barberio, EL, Barberis, DP, Barbero, MB, Bardin, DY, Barillari, T, Barisonzi, M, Barklow, TL, Barlow, NR, Barnett, BM, Barnett, RM, Baroncelli, A, Barone, G, Barr, AJ, Barreiro, F, Barreiro Guimarães Da Costa, J, Barrillon, P, Bartoldus, R, Barton, AE, Bartsch, D, Bartsch, V, Bates, RL, Batkova, L, Batley, JR, Battaglia, A, Battistin, M, Battistoni, G, Bauer, FJM, Bawa, HS, Beare, B, Beau, TJ, Beauchemin, PH, Beccherle, RB, Bechtle, P, Beck, HP, Beckingham, M, Becks, KH, Beddall, AJ, Bedikian, S, Bednyakov, VA, Bee, C, Begel, M, Behar Harpaz, S, Behera, PK, Beimforde, M, Bèlanger-Champagne, C, Bell, PJ, Bell, WH, Bella, G, Bellagamba, L, Bellina, F, Bellomo, M, Belloni, A, Beloborodova, OL, Belotskiy, K, Beltramello, O, Ben Ami, S, Benary, O, Benchekroun, D, Benchouk, C, Bendel, M, Benekos, NCHR, Benhammou, Y, Benjamin, DP, Benoit, M, Bensinger, JR, Benslama, K, Bentvelsen, S, Berge, D, Bergeaas Kuutmann, E, Berger, N, Berghaus, F, Berglund, E, Beringer, J, Bernardet, K, Bernat, P, Bernhard, RP, Bernius, C, Berry, TS, Bertin, A, Bertinelli, F, Bertolucci, FS, Besana, MI, Besson, N, Bethke, S, Bhimji, W, Bianchi, RM, Bianco, M, Biebel, O, Bieniek, SP, Bierwagen, K, Biesiada, JB, Biglietti, MG, Bilokon, H, Bindi, M, Binet, S, Bingül, A, Bini, C, Biscarat, C, Bitenc, U, Black, KM, Blair, RE, Blanchard, JB, Blanchot, G, Blažek, T, Blocker, CA, Błocki, JP, Blondel, AP, Blum, W, Blumenschein, U, Bobbink, GJ, Bobrovnikov, VB, Bocchetta, SS, Bocci, A, Boddy, CR, Boehler, M, Boek, J, Boelaert, N, Böser, S, Bogaerts, JAC, Bogdanchikov, AG, Bogouch, A, Bohm, C, Boisvert, V, Bołd, T, Boldea, V, Bolnet, NM, Bona, M, Bondarenko, VG, Bondioli, M, Boonekamp, M, Boorman, GE, Booth, CN, Bordoni, S, Borer, C, Borisov, AA, Borissov, G, Borjanović, I, Borroni, S, Bos, K, Boscherini, D, Bosman, M, Boterenbrood, H, Botterill, DR, Bouchami, J, Boudreau, JF, Bouhova-Thacker, EV, Bourdarios, C, Bousson, N, Boveia, A, Boyd, J, Boyko, IR, Bozhko, NI, Božović-Jelisavčić, I, Braciník, J, Braem, A, Branchini, P, Brandenburg, GW, Brandt, A, Brandt, G, Brandt, O, Bratzler, U, Brau, BP, Brau, JE, Braun, HM, Brelier, B, Bremer, JH, Brenner, RA, Bressler, S, Breton, D, Britton, DI, Brochu, FM, Brock, IC, Brock, RJ, Brodbeck, TJ, Brodet, E, Broggi, F, Bromberg, CM, Brooijmans, G, Brooks, WK, Brown, GE, Brown, HN, Brückman De Renstrom, PA, Bruncko, D, Brunelière, R, Brunet, SMK, Bruni, A, Bruni, G, Bruschi, M, Buanes, T, Bucci, F, Buchanan, JDR, Buchanan, NJ, Buchholz, PS, Buckingham, RM, Buckley, AG, Buda, SI, Budagov, IA, Budick, B, Büscher, V, Bugge, L, Buira-Clark, D, Bulekov, OV, Bunse, M, Buran, T, Burckhart, HJ, Burdin, S, Burgess, T, Bürke, SP, Busato, E, Bussey, PJ, Buszello, CP, Butin, F, Butler, B, Butler, JM, Buttar, CM, Butterworth, JM, Buttinger, W, Byatt, T, Cabrera Urbán, S, Caforio, D, Çakír, O, Calafiura, P, Calderini, G, Calfayan, P, Calkins, R, Calôba, LP, Caloi, RM, Calvet, D, Calvet, S, Camacho Toro, R, Camarri, P, Cambiaghi, M, Cameron, DG, Campana, S, Campanelli, M, Canale, V, Canelli, F, Canepa, A, Cantero, J, Capasso, L, Capeáns Garrido, MDM, Caprini, I, Caprini, M, Capriotti, D, Capua, M, Caputo, R, 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IA, Christov, A, Chromek-Burckhart, D, Chu, M, Chudoba, J, Ciapetti, G, Ciba, KD, Çiftçi, AK, Çiftçi, R, Cinca, D, Cindro, V, Ciobotaru, MD, Ciocca, C, Ciocio, A, Cirilli, M, Ciubancan, M, Clark, AR, Clark, PJ, Cleland, WE, Clémens, JC, Clément, BC, Clément, C, Clifft, RW, Coadou, YC, Cobal, M, Coccaro, A, Cochran, J, Coe, PA, Cogan, JG, Coggeshall, JC, Cogneras, E, Cojocaru, CD, Colas, J, Colijn, AP, Collard, C, Collins, NJ, Collins-Tooth, C, Collot, J, Colon, G, Conde Muiño, P, Coniavitis, E, Conidi, MC, Consonni, M, Consorti, V, Constantinescu, S, Conta, C, Conventi, FA, Cook, J, Cooke, M, Cooper, BD, Cooper-Sarkar, AM, Cooper-Smith, NJ, Copic, K, Cornélissen, TG, Corradi, M, Corriveau, F, Cortes-Gonzalez, A, Cortiana, G, Costa, GC, Costa, MJ, Costanzo, D, Costin, T, Côté, D, Courneyea, LA, Cowan, GA, Cowden, CS, Cox, BE, Cranmer, KS, Crescioli, F, Cristinziani, M, Crosetti, G, Crupi, R, Crépé-Renaudin, S, Cuciuc, CM, Cuenca Almenar, C, Çuhadar-Dönszelmann, T, Curatolo, M, Curtis, 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Subjects
Astrophysics::High Energy Astrophysical Phenomena, High Energy Physics::Phenomenology, High Energy Physics::Experiment, Nuclear Experiment
Abstract

© 2011, Eur. Phys. J. C. A;; right reserved. The inclusive and dijet production cross-sections have been measured for jets containing b-hadrons (b-jets) i√n proton-proton collisions at a centre-of-mass energy of s = 7 TeV, using the ATLAS detector at the LHC. The measurements use data corresponding to an integrated luminosity of34 pb-1. The b-jets are identified using either a lifetime-based method, where secondary decay vertices of b-hadrons in jets are reconstructed using information from the tracking detectors, or a muon-based method where the presence of a muon is used to identify semileptonic decays of b-hadrons inside jets. The inclusive b-jet cross-section is measured as a function of transverse momentum in the range20

Published
2011
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13. Measurement of the inclusive and dijet cross-sections of b-jets in pp collisions at √ s = 7 tev with the atlas detector

Author

Aad, G, Abbott, B, Abdallah, JM, Abdelalim, AA, Abdesselam, A, Abdinov, OB, Abi, BA, Abolins, MA, Abramowicz, H, Abreu, H, Acerbi, E, Acharya, BS, Adams, DL, Addy, TN, Adelman, J, Aderholz, M, Adomeit, S, Adragna, P, Adye, TJ, Aefsky, S, Aguilar-Saavedra, JA, Aharrouche, M, Ahlen, SP, Ahles, F, Ahmad, A, Ahsan, MAH, Aielli, G, Akdoǧan, T, Åkesson, TPA, Akimoto, G, Akimov, AV, Akiyama, A, Alam, MS, Alam, MA, Albert, JB, Albrand, S, Aleksa, M, Aleksandrov, IN, Alessandria, F, Alexa, C, Alexander, GK, Alexandre, G, Alexopoulos, TA, Alhroob, M, Aliev, MA, Alimonti, G, Alison, JM, Aliyev, MI, Allport, PP, Allwood-Spiers, SE, Almond, JE, Aloisio, A, Alon, R, Alonso, A, Alviggi, MG, Amako, K, Amaral, PB, Amelung, C, Ammosov, VV, Amorim, AEA, Amorós, G, Amram, N, Anastopoulos, C, Ancu, LS, Andari, N, Andeen, TR, Anders, CF, Anders, G, Anderson, KJ, Andreazza, A, Andrei, V, Andrieux, ML, Anduaga, XS, Angerami, A, Anghinolfi, F, Anjos, N, Annovi, A, Antonaki, A, Antonelli, M, Antonov, A, Antoš, J, Anulli, F, Aoun, S, Aperio Bella, L, Apolle, R, Arabidze, G, Aracena, I, Arai, Y, Arce, ATH, Archambault, JP, Arfaoui, S, Arguin, JF, Arik, EB, Arik, M, Armbruster, AJ, Arnaez, O, Arnault, C, Artamonov, AV, Artoni, G, Arutinov, D, Asai, S, Asfandiyarov, RA, Ask, S, Åsman, BA, Asquith, L, Assamagan, KA, Ast Bury, A, Astvatsatourov, A, Atoian, GS, Aubert, B, Augé, E, Augsten, K, Aurousseau, M, Austin, N, Avolio, G, Avramidou, RM, Axen, DA, Ay, C, Azuelos, G, Azuma, Y, Baak, M, Baccaglioni, G, Bacci, C, Bach, AM, Bachacou, H, Bachas, K, Bachy, G, Backes, M, Backhaus, M, Badescu, E, Bagnaia, P, Bahinipati, S, Bai, Y, Bailey, DC, Bain, T, Baines, JTM, Baker, OK, Baker, MD, Baker, SH, Banaś, E, Banerjee, P, Banerjee, SW, Banfi, D, Bangert, A, Bansal, V, Bansil, HS, Barak, L, Baranov, SP, Barashkou, A, Barbaro-Galtieri, AA, Barber, TJ, Barberio, EL, Barberis, DP, Barbero, MB, Bardin, DY, Barillari, T, Barisonzi, M, Barklow, TL, Barlow, NR, Barnett, BM, Barnett, RM, Baroncelli, A, Barone, G, Barr, AJ, Barreiro, F, Da Barreiro Guimarães Costa, J, Barrillon, P, Bartoldus, R, Barton, AE, Bartsch, D, Bartsch, V, Bates, RL, Batkova, L, Batley, JR, Battaglia, A, Battistin, M, Battistoni, G, Bauer, FJM, Bawa, HS, Beare, B, Beau, TJ, Beauchemin, PH, Beccherle, RB, Bechtle, P, Beck, HP, Beckingham, M, Becks, KH, Beddall, AJ, Bedikian, S, Bednyakov, VA, Bee, C, Begel, M, Behar Harpaz, S, Behera, PK, Beimforde, M, Bèlanger-Champagne, C, Bell, PJ, Bell, WH, Bella, G, Bellagamba, L, Bellina, F, Bellomo, M, Belloni, A, Beloborodova, OL, Belot-Skiy, K, Beltramello, O, Ben Ami, S, Benary, O, Benchekroun, D, Benchouk, C, Bendel, M, Benekos, NCHR, Benhammou, Y, Benjamin, DP, Benoit, M, Bensinger, JR, Benslama, K, Bentvelsen, S, Berge, D, Bergeaas Kuutmann, E, Berger, N, Berghaus, F, Berglund, E, Beringer, J, Bernardet, K, Bernat, P, Bern-Hard, R, Bernius, C, Berry, TS, Bertin, A, Bertinelli, F, Bertolucci, FS, Besana, MI, Besson, N, Bethke, S, Bhimji, W, Bianchi, RM, Bianco, M, Biebel, 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Abstract

© CERN for the benefit of the ATLAS collaboration 2011. The inclusive and dijet production cross-sections have been measured for jets containing b-hadrons (b-jets) in proton-proton collisions at a centre-of-mass energy of +fs = 7 TeV, using the ATLAS detector at the LHC. The measurements use data corresponding to an integrated luminosity of 34 pb_1. The b-jets are identified using either a lifetime-based method, where secondary decay vertices of b-hadrons in jets are reconstructed using information from the tracking detectors, or a muon-based method where the presence of a muon is used to identify semileptonic decays of b-hadrons inside jets. The inclusive b-jet cross-section is measured as a function of transverse momentum in the range 20 < pT < 400 GeV and rapidity in the range \y\ < 2.1. The bb-dijet cross-section is measured as a function of the dijet invariant mass in the range 110 < mjj < 760 GeV, the azimuthal angle difference between the two jets and the angular variable χ in two dijet mass regions. The results are compared with next-to-leading-order QCD predictions. Good agreement is observed between the measured cross-sections and the predictions obtained using POWHEG + Pythia. MC@NLO + Herwig shows good agreement with the measured bb-dijet cross-section. However, it does not reproduce the measured inclusive cross-section well, particularly for central b-jets with large transverse momenta.

Published
2011

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