N. Kaplan

ORCID: 0000-0001-9940-1987
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About
Contact & Profiles
Research Areas
  • Advanced NMR Techniques and Applications
  • Genomics and Chromatin Dynamics
  • Rare-earth and actinide compounds
  • NMR spectroscopy and applications
  • RNA and protein synthesis mechanisms
  • Solid-state spectroscopy and crystallography
  • Magnetic properties of thin films
  • Magnetic Properties of Alloys
  • Electron Spin Resonance Studies
  • Physics of Superconductivity and Magnetism
  • Genomics and Phylogenetic Studies
  • RNA Research and Splicing
  • Advanced Chemical Physics Studies
  • Epigenetics and DNA Methylation
  • Chromosomal and Genetic Variations
  • Magnetism in coordination complexes
  • Advanced MRI Techniques and Applications
  • CRISPR and Genetic Engineering
  • Organic and Molecular Conductors Research
  • Machine Learning in Bioinformatics
  • Atomic and Subatomic Physics Research
  • Advanced Condensed Matter Physics
  • Crystallography and Radiation Phenomena
  • Muon and positron interactions and applications
  • Hydrogen Storage and Materials

Technion – Israel Institute of Technology
2017-2025

Institute of Gene Biology
2023

Lomonosov Moscow State University
2023

Rappaport Family Institute for Research in the Medical Sciences
2022

University of Massachusetts Chan Medical School
2013-2016

Weizmann Institute of Science
2008-2012

Karlsruhe Institute of Technology
1995-2010

Hebrew University of Jerusalem
1997-2008

ETH Zurich
1998

Massey University
1994-1995

George M. Weinstock Gene E. Robinson Richard A. Gibbs Kim C. Worley Jay D. Evans and 95 more Ryszard Maleszka Hugh M. Robertson Daniel Weaver Martin Beye Peer Bork Christine G. Elsik Klaus Hartfelder Greg J. Hunt Evgeny M. Zdobnov Gro V. Amdam Márcia Maria Gentile Bitondi Anita M. Collins Alexandre S. Cristino H. Michael G. Lattorff Carlos Henrique Lobo Robin F. A. Moritz Francis de Morais Franco Nunes Robert E. Page Zilá Luz Paulino Simões Diana E. Wheeler Piero Carninci Shiro Fukuda Yoshihide Hayashizaki Chikatoshi Kai Jun Kawai Naoko Sakazume Daisuke Sasaki Michihira Tagami Štefan Albert Geert Baggerman Kyle T. Beggs Guy Bloch Giuseppe Cazzamali Mira Cohen Mark D. Drapeau Dorothea Eisenhardt Christine Emore Michael A. Ewing Susan E. Fahrbach Sylvain Forêt Cornelis J.P. Grimmelikhuijzen Frank Hauser Amanda B. Hummon Jurgen Huybrechts Andrew K. Jones Tatsuhiko Kadowaki N. Kaplan Robert Kucharski G. Leboulle Michal Linial J. Troy Littleton Alison R. Mercer Timothy A. Richmond Sandra L. Rodriguez‐Zas Elad B. Rubin David B. Sattelle David I. Schlipalius Liliane Schoofs Yair Shemesh Jonathan V. Sweedler Rodrigo A. Velarde Peter Verleyen Evy Vierstraete Michael R. Williamson Seth A. Ament Susan J. Brown Miguel Corona Peter K. Dearden William A. Dunn Michelle M. Elekonich Tomoko Fujiyuki I. Gattermeier Tanja Gempe Martin Hasselmann Eriko Kage Azusa Kamikouchi Takeo Kubo Takekazu Kunieda Marcé D. Lorenzen Natalia V. Milshina Mizue Morioka Kazuaki Ohashi Ross Overbeek Christian Roß Morten Schioett Teresa D. Shippy Hideaki Takeuchi Amy L. Toth Judith H. Willis Megan J. Wilson Karl Gordon Ivica Letunić Kevin J. Hackett Jane L. Peterson Adam L. Felsenfeld

10.1038/nature05260 article EN Nature 2006-10-26

Nucleosome organization is critical for gene regulation. In living cells this determined by multiple factors, including the action of chromatin remodellers, competition with site-specific DNA-binding proteins, and DNA sequence preferences nucleosomes themselves. However, it has been difficult to estimate relative importance each these mechanisms in vivo, because vivo nucleosome maps reflect combined all influencing factors. Here we determine experimentally measuring genome-wide occupancy...

10.1038/nature07667 article EN cc-by-nc-sa Nature 2008-12-17

The detailed positions of nucleosomes profoundly impact gene regulation and are partly encoded by the genomic DNA sequence. However, less is known about functional consequences this encoding. Here, we address question using a genome-wide map ∼380,000 yeast that sequenced in their entirety. Utilizing high resolution our map, refine understanding how nucleosome organizations sequence demonstrate highly predictive vivo organization, even across new nucleosome-bound sequences isolated from fly...

10.1371/journal.pcbi.1000216 article EN cc-by PLoS Computational Biology 2008-11-06

Many evolutionarily distant pathogenic organisms have evolved similar survival strategies to evade the immune responses of their hosts. These include antigenic variation, through which an infecting organism prevents clearance by periodically altering identity proteins that are visible system host

10.1038/s41586-018-0619-8 article EN cc-by Nature 2018-10-16

The last years have witnessed remarkable advances in our understanding of the emergence and consequences topological constraints biological soft matter. Examples are abundant relation to (bio)polymeric systems range from characterization knots single polymers proteins that whole chromosomes polymer melts. At same time, considerable been made description interplay between physical properties complex fluids, with development techniques now allow researchers control formation interaction...

10.1016/j.physrep.2024.04.002 article EN cc-by-nc-nd Physics Reports 2024-05-16

Positive-muon spin-rotation and -relaxation measurements of the oxygen-deficient perovskite ${\mathrm{YBa}}_{2}$${\mathrm{Cu}}_{3}$${\mathrm{O}}_{\mathrm{x}}$ have revealed local antiferromagnetic order for 6.0\ensuremath{\lesssim}x\ensuremath{\lesssim}6.4 with a N\'eel temperature ${T}_{\mathrm{N}}$ that decreases rapidly increasing oxygen content x. For slowly annealed samples 6.35\ensuremath{\lesssim}x\ensuremath{\lesssim}6.5 superconducting transition ${T}_{c}$ increases smoothly x from...

10.1103/physrevlett.60.1073 article EN Physical Review Letters 1988-03-14

We recently reported the identification and characterization of DNA replication origins (Oris) in metazoan cell lines. Here, we describe additional bioinformatic analyses showing that previously identified GC-rich sequence elements form origin G-rich repeated (OGREs) are present 67% to 90% from Drosophila human cells, respectively. Our also show initiation synthesis takes place precisely at 160 bp (Drosophila) 280 (mouse) OGRE. found most CpG islands, an OGRE is positioned opposite...

10.4161/cc.11.4.19097 article EN Cell Cycle 2012-02-15

Active eukaryotic regulatory sites are characterized by open chromatin, and yeast promoters transcription factor binding (TFBSs) typically have low intrinsic nucleosome occupancy. Here, we show that in contrast to yeast, DNA at human promoters, enhancers, TFBSs generally encodes high In most cases examined, these elements also experimentally measured occupancy vivo. These regions G+C content, which correlates positively with occupancy, depleted for nucleosome-excluding poly-A sequences. We...

10.1371/journal.pone.0009129 article EN cc-by PLoS ONE 2010-02-08

Mitosis encompasses key molecular changes including chromatin condensation, nuclear envelope breakdown, and reduced transcription levels. Immediately after mitosis, the interphase structure is reestablished resumes. The reestablishment of probably achieved by "bookmarking," i.e., retention at least partial information during mitosis. To gain a deeper understanding contribution histone modifications to mitotic bookmarking process, we merged proteomics, immunofluorescence, ChIP-seq approaches....

10.1101/gr.230300.117 article EN cc-by-nc Genome Research 2018-08-30

We propose definitions and procedures for comparing nucleosome maps discuss current agreement disagreement on the effect of histone sequence preferences organization in vivo.

10.1186/gb-2010-11-11-140 article EN cc-by Genome biology 2010-11-01

ProtoNet is an automatic hierarchical classification of the protein sequence space. In 2004, (version 4.0) presents analysis over one million proteins merged from SwissProt and TrEMBL databases. addition to rich visualization tools navigate clustering hierarchy, we incorporated several improvements that allow a simplified view scaffold proteins. An unsupervised, biologically valid method was developed resulted in condensation hierarchy only 12% clusters. A large portion these clusters...

10.1093/nar/gki007 article EN Nucleic Acids Research 2004-12-17

Experimental and theoretical impurity-magnon-mode studies have been made using the ${\mathrm{F}}^{19}$ NMR in impure antiferromagnet $\mathrm{Mn}{\mathrm{F}}_{2}:X$ (where $X=\mathrm{V},\phantom{\rule{0ex}{0ex}}\mathrm{F}\mathrm{e},\phantom{\rule{0ex}{0ex}}\mathrm{C}\mathrm{o},\phantom{\rule{0ex}{0ex}}\mathrm{N}\mathrm{i},\phantom{\rule{0ex}{0ex}}\mathrm{o}\mathrm{r}\phantom{\rule{0ex}{0ex}}\mathrm{Z}\mathrm{n}$, usually concentrations of 1% or less). Fixed-frequency spin-echo techniques...

10.1103/physrevb.1.3058 article EN Physical review. B, Solid state 1970-04-01

The temperature and angular variations of $\frac{1}{{T}_{1}}$ for the ${\mathrm{F}}^{19}$ nucleus are shown to be in excellent agreement with theoretical predictions a two-magnon Raman-scattering relaxation mechanism via transferred hyperfine interaction. experiments clearly show effect magnon energy gap on rates.

10.1103/physrevlett.17.357 article EN Physical Review Letters 1966-08-15

Abstract In an era of rapid genome sequencing and high‐throughput technology, automatic function prediction for a novel sequence is utter importance in bioinformatics. While annotation methods based on local alignment searches can be simple straightforward, they suffer from several drawbacks, including relatively low sensitivity assignment incorrect annotations that are not associated with the region similarity. ProtoNet hierarchical organization protein sequences UniProt database. Although...

10.1110/ps.062185706 article EN Protein Science 2006-05-04

A direct observation of a magnetically induced electric field gradient (efg) at nonmagnetic Al site in ferromagnetic Gd${\mathrm{Al}}_{2}$ is described. The efg was determined from accurate measurements the ${\mathrm{Al}}^{27}$ nuclear-spin-echo envelope-modulation frequency, performed on $a$ sites for which magnetization $\stackrel{\ensuremath{\rightarrow}}{\mathrm{M}}$ and crystaline axis are colinear. Monitored as function $M$, it found that total given by...

10.1103/physrevb.7.2132 article EN Physical review. B, Solid state 1973-03-01
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