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Institution

National University of Mongolia

EducationUlaanbaatar, Mongolia
About: National University of Mongolia is a education organization based out in Ulaanbaatar, Mongolia. It is known for research contribution in the topics: Population & Oribatida. The organization has 950 authors who have published 1323 publications receiving 15108 citations. The organization is also known as: NUM & MUIS.


Papers
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Journal ArticleDOI
07 Sep 2007-Cell
TL;DR: A model ofTLR4-MD-2 dimerization induced by LPS is proposed and a series of hybrids of human TLR4 and hagfish VLR are produced and their structures with and without bound MD-2 and Eritoran are determined.

1,063 citations

Journal ArticleDOI
TL;DR: The results demonstrate that without proper waste management, low-density populations can heavily pollute freshwater systems with consumer plastics.

977 citations

Journal ArticleDOI
TL;DR: The super-repeat in the TLR7 family suggests strongly that "bacterial" and "typical" LRRs evolved from a common precursor and is inferred to play a key role in the structure and/or function of their TLRs.
Abstract: Toll-like receptors (TLRs) play a central role in innate immunity. TLRs are membrane glycoproteins and contain leucine rich repeat (LRR) motif in the ectodomain. TLRs recognize and respond to molecules such as lipopolysaccharide, peptidoglycan, flagellin, and RNA from bacteria or viruses. The LRR domains in TLRs have been inferred to be responsible for molecular recognition. All LRRs include the highly conserved segment, LxxLxLxxNxL, in which "L" is Leu, Ile, Val, or Phe and "N" is Asn, Thr, Ser, or Cys and "x" is any amino acid. There are seven classes of LRRs including "typical" ("T") and "bacterial" ("S"). All known domain structures adopt an arc or horseshoe shape. Vertebrate TLRs form six major families. The repeat numbers of LRRs and their "phasing" in TLRs differ with isoforms and species; they are aligned differently in various databases. We identified and aligned LRRs in TLRs by a new method described here. The new method utilizes known LRR structures to recognize and align new LRR motifs in TLRs and incorporates multiple sequence alignments and secondary structure predictions. TLRs from thirty-four vertebrate were analyzed. The repeat numbers of the LRRs ranges from 16 to 28. The LRRs found in TLRs frequently consists of LxxLxLxxNxLxxLxxxxF/LxxLxx ("T") and sometimes short motifs including LxxLxLxxNxLxxLPx(x)LPxx ("S"). The TLR7 family (TLR7, TLR8, and TLR9) contain 27 LRRs. The LRRs at the N-terminal part have a super-motif of STT with about 80 residues. The super-repeat is represented by STTSTTSTT or _TTSTTSTT. The LRRs in TLRs form one or two horseshoe domains and are mostly flanked by two cysteine clusters including two or four cysteine residue. Each of the six major TLR families is characterized by their constituent LRR motifs, their repeat numbers, and their patterns of cysteine clusters. The central parts of the TLR1 and TLR7 families and of TLR4 have more irregular or longer LRR motifs. These central parts are inferred to play a key role in the structure and/or function of their TLRs. Furthermore, the super-repeat in the TLR7 family suggests strongly that "bacterial" and "typical" LRRs evolved from a common precursor.

352 citations

Journal ArticleDOI
17 Jul 2015-Science
TL;DR: In this paper, by using data from coordinated surveys conducted throughout grasslands worldwide and comprising a wide range of site productivities, the authors provide evidence in support of the humped-back model (HBM) pattern at both global and regional extents.
Abstract: The search for predictions of species diversity across environmental gradients has challenged ecologists for decades The humped-back model (HBM) suggests that plant diversity peaks at intermediate productivity; at low productivity few species can tolerate the environmental stresses, and at high productivity a few highly competitive species dominate Over time the HBM has become increasingly controversial, and recent studies claim to have refuted it Here, by using data from coordinated surveys conducted throughout grasslands worldwide and comprising a wide range of site productivities, we provide evidence in support of the HBM pattern at both global and regional extents The relationships described here provide a foundation for further research into the local, landscape, and historical factors that maintain biodiversity

308 citations

Journal ArticleDOI
Peter de Barros Damgaard1, Nina Marchi2, Simon Rasmussen3, Michaël Peyrot4, Gabriel Renaud1, Thorfinn Sand Korneliussen1, Thorfinn Sand Korneliussen5, J. Víctor Moreno-Mayar1, Mikkel Winther Pedersen5, Amy Goldberg6, Emma Usmanova7, Nurbol Baimukhanov, Valeriy Loman7, Lotte Hedeager8, Anders Gorm Pedersen3, Kasper Nielsen3, Gennady Afanasiev9, Kunbolot Akmatov, Almaz Aldashev10, Ashyk Alpaslan, Gabit Baimbetov, Vladimir I. Bazaliiskii11, Arman Beisenov, Bazartseren Boldbaatar12, Bazartseren Boldgiv13, Choduraa Dorzhu14, Sturla Ellingvåg, Diimaajav Erdenebaatar, Rana Dajani15, Rana Dajani16, Evgeniy Dmitriev7, Valeriy Evdokimov7, Karin Margarita Frei, Andrey Gromov, Alexander Goryachev, Hakon Hakonarson17, Tatyana Hegay, Zaruhi Khachatryan18, Ruslan Khaskhanov9, Egor Kitov9, Alina Kolbina, Tabaldiev Kubatbek, Alexey Kukushkin7, Igor Kukushkin7, Nina Lau, Ashot Margaryan1, Ashot Margaryan19, Inga Merkyte1, Ilya V. Mertz, Viktor K. Mertz, Enkhbayar Mijiddorj, Vyacheslav Moiyesev, Gulmira Mukhtarova, Bekmukhanbet Nurmukhanbetov, Z. Orozbekova9, Irina P. Panyushkina20, Karol Pieta21, Václav Smrčka22, Irina Shevnina, Andrey Logvin, Karl-Göran Sjögren23, Tereza Štolcová21, Angela M. Taravella24, Kadicha Tashbaeva10, Alexander Tkachev9, Turaly Tulegenov, Dmitriy Voyakin, Levon Yepiskoposyan18, Sainbileg Undrakhbold13, Victor Varfolomeev7, Andrzej W. Weber25, Melissa A. Wilson Sayres24, Nikolay N. Kradin9, Morten E. Allentoft1, Ludovic Orlando26, Ludovic Orlando1, Rasmus Nielsen1, Rasmus Nielsen27, Martin Sikora1, Evelyne Heyer2, Kristian Kristiansen23, Eske Willerslev5, Eske Willerslev1, Eske Willerslev28 
09 May 2018-Nature
TL;DR: The genomes of 137 ancient and 502 modern human genomes illuminate the population history of the Eurasian steppes after the Bronze Age and document the replacement of Indo-European speakers of West Eurasian ancestry by Turkic-speaking groups of East Asian ancestry.
Abstract: For thousands of years the Eurasian steppes have been a centre of human migrations and cultural change. Here we sequence the genomes of 137 ancient humans (about 1× average coverage), covering a period of 4,000 years, to understand the population history of the Eurasian steppes after the Bronze Age migrations. We find that the genetics of the Scythian groups that dominated the Eurasian steppes throughout the Iron Age were highly structured, with diverse origins comprising Late Bronze Age herders, European farmers and southern Siberian hunter-gatherers. Later, Scythians admixed with the eastern steppe nomads who formed the Xiongnu confederations, and moved westward in about the second or third century bc, forming the Hun traditions in the fourth–fifth century ad, and carrying with them plague that was basal to the Justinian plague. These nomads were further admixed with East Asian groups during several short-term khanates in the Medieval period. These historical events transformed the Eurasian steppes from being inhabited by Indo-European speakers of largely West Eurasian ancestry to the mostly Turkic-speaking groups of the present day, who are primarily of East Asian ancestry. Sequences of 137 ancient and 502 modern human genomes illuminate the population history of the Eurasian steppes after the Bronze Age and document the replacement of Indo-European speakers of West Eurasian ancestry by Turkic-speaking groups of East Asian ancestry.

280 citations


Authors

Showing all 961 results

NameH-indexPapersCitations
Jiří Šponer7332919600
Christoph Leuschner6940617610
Gordon C. Jacoby551119531
Martin Pfeiffer421566699
Markus Hauck401504117
Jiaojun Zhu301612937
Takeshi Nakano26693291
Choimaa Dulamsuren26621645
Maher Moakher24603497
Kirk A. Olson23392264
Bazartseren Boldgiv20642371
Leiv K. Sydnes201801926
Ochbadrakh Chuluunbaatar191651267
Sender Dovchin1656611
Ts. Gantsog1531483
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
202213
2021175
2020152
2019131
2018142