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Carlos Bustamante

Bio: Carlos Bustamante is an academic researcher from Stanford University. The author has contributed to research in topics: Population & DNA. The author has an hindex of 161, co-authored 770 publications receiving 106053 citations. Previous affiliations of Carlos Bustamante include Lawrence Berkeley National Laboratory & University of California.


Papers
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Posted ContentDOI
17 Aug 2019-medRxiv
TL;DR: An event alignment algorithm is proposed, Medal, which uses a dynamic programming approach for pairwise alignment of medication histories and is identified four clusters in PANS with distinct medication usage histories, driven primarily by penicillin.
Abstract: Objective Pediatric acute-onset neuropsychiatric syndrome (PANS) is a complex neuropsychiatric syndrome characterized by an abrupt onset of obsessive-compulsive symptoms and/or severe eating restrictions, along with at least two concomitant debilitating cognitive, behavioral, or neurological symptoms. A wide range of pharmacological interventions along with behavioral and environmental modifications, and psychotherapies have been adopted to treat symptoms and underlying etiologies. Our goal was to develop a data-driven approach to identify treatment patterns in this cohort. Materials and Methods In this cohort study, we extracted medical prescription histories from electronic health records. We developed a modified dynamic programming approach to perform global alignment of those medication histories. Our approach is unique since it considers time gaps in prescription patterns as part of the similarity strategy. Results This study included 43 consecutive new-onset pre-pubertal patients who had at least 3 clinic visits. Our algorithm identified six clusters with distinct medication usage history which may represent clinician’s practice of treating PANS of different severities and etiologies i.e., two most severe groups requiring high dose intravenous steroids; two arthritic or inflammatory groups requiring prolonged nonsteroidal anti-inflammatory drug (NSAID); and two mild relapsing/remitting group treated with a short course of NSAID. The psychometric scores as outcomes in each cluster generally improved within the first two years. Discussion and conclusion Our algorithm shows potential to improve our knowledge of treatment patterns in the PANS cohort, while helping clinicians understand how patients respond to a combination of drugs.

1 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed a high-resolution beamline in the soft x-ray energy region 100-1500 eV, which is used to obtain circularly polarized soft x rays.
Abstract: The Advanced Light Source (ALS) is a synchrotron radiation facility based on a low‐emittance, 1.5‐GeV electron storage ring presently under construction at the Lawrence Berkeley Laboratory, U.S.A. Plans are under way to develop a polarized photon facility at the ALS, exploiting the natural polarization properties of the bend magnet synchrotron radiation. The radiation emitted in the plane of the storage ring is linearly polarized, while above and below the plane it is elliptically polarized. We will utilize these properties to obtain circularly polarized soft x rays. A participating research team (PRT A018) has been formed and is proceeding with the design of a high‐resolution beamline in the soft x‐ray energy region 100–1500 eV. Intense beams of monochromatic, tunable, pulsed, circularly polarized photons will become available. We will discuss the physical characteristics of this polarized soft x‐ray source. New investigations in biology, materials science, physics, and chemistry will become accessible. ...

1 citations

Journal ArticleDOI
01 Sep 2022-Biology
TL;DR: The AFM-SMFS results point to a complex scenario of structural heterogeneity of PrP at the monomeric and dimer level, like other amyloid proteins involved in similar pathologies.
Abstract: Simple Summary Prion diseases are neurodegenerative disorders caused by the amyloidal aggregation of the cellular prion protein. We apply single-molecule force spectroscopy approaches to study the unfolding of prion protein monomers and dimers in different orientations. We find heterogeneous behavior in the prion protein unfolding and an interesting difference between the dimer orientations whereby the dimer in which the C-termini are joined unfolds at a higher force, implying a more stable structure owing to interactions between the C-termini. These results may contribute to a better understanding of the initial steps of oligomer assembly during prion diseases. Abstract Prion diseases are neurodegenerative disorders characterized by the presence of oligomers and amyloid fibrils. These are the result of protein aggregation processes of the cellular prion protein (PrPC) into amyloidal forms denoted as prions or PrPSc. We employed atomic force microscopy (AFM) for single molecule pulling (single molecule force spectroscopy, SMFS) experiments on the recombinant truncated murine prion protein (PrP) domain to characterize its conformations and potential initial oligomerization processes. Our AFM-SMFS results point to a complex scenario of structural heterogeneity of PrP at the monomeric and dimer level, like other amyloid proteins involved in similar pathologies. By applying this technique, we revealed that the PrP C-terminal domain unfolds in a two-state process. We used two dimeric constructs with different PrP reciprocal orientations: one construct with two sequential PrP in the N- to C-terminal orientation (N-C dimer) and a second one in the C- to C-terminal orientation (C-C dimer). The analysis revealed that the different behavior in terms of unfolding force, whereby the dimer placed C-C dimer unfolds at a higher force compared to the N-C orientation. We propose that the C-C dimer orientation may represent a building block of amyloid fibril formation.

1 citations

Journal ArticleDOI
Devin P. Locke, LaDeana W. Hillier, Wesley C. Warren, Kim C. Worley, Lynne V. Nazareth, Donna M. Muzny, Shiaw Pyng Yang, Zhengyuan Wang, Asif T. Chinwalla, Patrick Minx, Makedonka Mitreva, Lisa Cook, Kim D. Delehaunty, Catrina Fronick, Heather Schmidt, Lucinda Fulton, Robert S. Fulton, Joanne O. Nelson, Vincent Magrini, Craig Pohl, Tina Graves, Chris Markovic, Andrew Cree, Huyen Dinh, Jennifer Hume, Christie Kovar, Gerald R. Fowler, Gerton Lunter, Stephen Meader, Andreas Heger, Chris P. Ponting, Tomas Marques-Bonet, Can Alkan, Lin Chen, Ze Cheng, Jeffrey M. Kidd, Evan E. Eichler, S. White, Stephen M. J. Searle, Albert J. Vilella, Yuan Chen, Paul Flicek, Jian Ma, Brian J. Raney, Bernard B. Suh, Richard Burhans, Javier Herrero, David Haussler, Rui Faria, Olga Fernando, Fleur Darré, Domènec Farré, Elodie Gazave, Meritxell Oliva, Arcadi Navarro, Roberta Roberto, Oronzo Capozzi, Nicoletta Archidiacono, Giuliano Della Valle, Stefania Purgato, Mariano Rocchi, Miriam K. Konkel, Jerilyn A. Walker, Brygg Ullmer, Mark A. Batzer, Arian F.A. Smit, Robert Hubley, Claudio Casola, Daniel R. Schrider, Matthew W. Hahn, Víctor Quesada, Xose S. Puente, Gonzalo R. Ordóñez, Carlos López-Otín, Tomas Vinar, Brona Brejova, Aakrosh Ratan, Robert S. Harris, Webb Miller, Carolin Kosiol, Heather A. Lawson, V. Taliwal, André L. Martins, Adam Siepel, Arindam RoyChoudhury, Xin Ma, Jeremiah D. Degenhardt, Carlos Bustamante, Ryan N. Gutenkunst, Thomas Mailund, Julien Y. Dutheil, Asger Hobolth, Mikkel H. Schierup, Oliver A. Ryder, Yuko Yoshinaga, Pieter J. de Jong, George M. Weinstock, Jeffrey Rogers, Elaine R. Mardis, Richard A. Gibbs, Richard K. Wilson 

1 citations


Cited by
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28 Jul 2005
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1(PfPMP1)与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员,通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

18,940 citations

Journal ArticleDOI
TL;DR: NAMD as discussed by the authors is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems that scales to hundreds of processors on high-end parallel platforms, as well as tens of processors in low-cost commodity clusters, and also runs on individual desktop and laptop computers.
Abstract: NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD scales to hundreds of processors on high-end parallel platforms, as well as tens of processors on low-cost commodity clusters, and also runs on individual desktop and laptop computers. NAMD works with AMBER and CHARMM potential functions, parameters, and file formats. This article, directed to novices as well as experts, first introduces concepts and methods used in the NAMD program, describing the classical molecular dynamics force field, equations of motion, and integration methods along with the efficient electrostatics evaluation algorithms employed and temperature and pressure controls used. Features for steering the simulation across barriers and for calculating both alchemical and conformational free energy differences are presented. The motivations for and a roadmap to the internal design of NAMD, implemented in C++ and based on Charm++ parallel objects, are outlined. The factors affecting the serial and parallel performance of a simulation are discussed. Finally, typical NAMD use is illustrated with representative applications to a small, a medium, and a large biomolecular system, highlighting particular features of NAMD, for example, the Tcl scripting language. The article also provides a list of the key features of NAMD and discusses the benefits of combining NAMD with the molecular graphics/sequence analysis software VMD and the grid computing/collaboratory software BioCoRE. NAMD is distributed free of charge with source code at www.ks.uiuc.edu.

14,558 citations

Journal ArticleDOI
Adam Auton1, Gonçalo R. Abecasis2, David Altshuler3, Richard Durbin4  +514 moreInstitutions (90)
01 Oct 2015-Nature
TL;DR: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and has reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-generation sequencing, deep exome sequencing, and dense microarray genotyping.
Abstract: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.

12,661 citations

Journal Article
Fumio Tajima1
30 Oct 1989-Genomics
TL;DR: It is suggested that the natural selection against large insertion/deletion is so weak that a large amount of variation is maintained in a population.

11,521 citations