SwePub
Tyck till om SwePub Sök här!
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Fan Xiao) "

Search: WFRF:(Fan Xiao)

  • Result 1-10 of 224
Sort/group result
   
EnumerationReferenceCoverFind
1.
  •  
2.
  •  
3.
  • Klionsky, Daniel J., et al. (author)
  • Guidelines for the use and interpretation of assays for monitoring autophagy
  • 2012
  • In: Autophagy. - : Informa UK Limited. - 1554-8635 .- 1554-8627. ; 8:4, s. 445-544
  • Research review (peer-reviewed)abstract
    • In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process vs. those that measure flux through the autophagy pathway (i.e., the complete process); thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from stimuli that result in increased autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field.
  •  
4.
  • 2019
  • Journal article (peer-reviewed)
  •  
5.
  • Ablikim, M., et al. (author)
  • Improved measurements of two-photon widths of the chi(cJ) states and helicity analysis for chi(c2) -> gamma gamma
  • 2017
  • In: Physical Review D. - : AMER PHYSICAL SOC. - 2470-0010 .- 2470-0029. ; 96:9
  • Journal article (peer-reviewed)abstract
    • Based on 448.1 x 10(6) Psi(3686) events collected with the BESIII detector, the decays Psi(3686) -> gamma chi(cJ), chi(cJ) -> gamma gamma(J = 0, 1, 2) are studied. The decay branching fractions of chi(c0,2) -> gamma gamma are measured to be B(chi(c0) -> gamma gamma) = (1.93 +/- 0.08 +/- 0.05 +/- 0.05) x 10(-4) and B(chi(c2) -> gamma gamma) = (3.10 +/- 0.09 +/- 0.07 +/- 0.11) x 10(-4) which correspond to two-photon decay widths of Gamma(gamma gamma)(chi(c0)) = 2.03 +/- 0.08 +/- 0.06 +/- 0.13 keV and Gamma(gamma gamma)(chi(c2)) = 0.60 +/- 0.02 +/- 0.01 +/- 0.04 keV with a ratio of R = Gamma(gamma gamma)(chi(c2))/Gamma(gamma gamma)(chi(c0)) = 0.295 +/- 0.014 +/- 0.007 +/- 0.027, where the uncertainties are statistical, systematic and associated with the uncertainties of B(Psi(3686) -> gamma chi(c0,2)) and the total widths Gamma(chi(c0,2)), respectively. For the forbidden decay of chi(c1) -> gamma gamma, no signal is observed, and an upper limit on the two-photon width is obtained to be Gamma(gamma gamma)(chi(c1)) < 5.3 eV at the 90% confidence level. The ratio of the two-photon widths between helicity-zero and helicity-two components in the decay chi(c2) -> gamma gamma is also measured to be f(0/2) = Gamma(lambda=0)(gamma gamma) (chi(c2))/Gamma(lambda=2)(gamma gamma) (chi(c2)) = (0.0 +/- 0.6 +/- 1.2) x 10(-2), where the uncertainties are statistical and systematic, respectively.
  •  
6.
  •  
7.
  •  
8.
  •  
9.
  • Beal, Jacob, et al. (author)
  • Robust estimation of bacterial cell count from optical density
  • 2020
  • In: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 3:1
  • Journal article (peer-reviewed)abstract
    • Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data.
  •  
10.
  • Ablikim, M., et al. (author)
  • Amplitude analysis of D0 → K -π+π+π-
  • 2017
  • In: Physical Review D. - 2470-0010 .- 2470-0029. ; 95:7
  • Journal article (peer-reviewed)abstract
    • We present an amplitude analysis of the decay D0 → K -π+π+π- based on a data sample of 2.93  fb−1 acquired by the BESIII detector at the ψ(3770) resonance. With a nearly background free sample of about 16000 events, we investigate the substructure of the decay and determine the relative fractions and the phases among the different intermediate processes. Our amplitude model includes the two-body decays D0 → ¯K*0ρ0, D0 → K−a+1(1260) and D0 → K−1(1270)π+, the three-body decays D0 →¯K*0π+π− and D0 → K−π+ρ0, as well as the four-body nonresonant decay D0 → K−π+π+π−. The dominant intermediate process is D0 → K−a+1(1260), accounting for a fit fraction of 54.6%.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-10 of 224
Type of publication
journal article (209)
conference paper (10)
research review (3)
other publication (1)
Type of content
peer-reviewed (216)
other academic/artistic (7)
Author/Editor
Wang, Z. (111)
Xu, L. (110)
Liu, Q. (110)
Wang, D. (110)
Liu, X (109)
Zhang, Y. (109)
show more...
Wang, K. (108)
Yang, L. (108)
Lu, Y (108)
Jin, S. (107)
Wu, Z. (107)
Fang, Y. (106)
Ouyang, Q. (106)
Zhou, L. (106)
Gao, Y. (106)
Liu, J. (106)
Huang, G. S. (106)
Wang, M. (106)
Zhao, Q (106)
An, Q. (106)
Ban, Y. (106)
Cakir, O. (105)
Cetin, S. A. (105)
Chen, X. (105)
Liu, K. (105)
Peters, K. (105)
Qi, M. (105)
Zeng, Y. (105)
Cai, X. (105)
Ferroli, R. Baldini (105)
Zhu, Y. C. (105)
Boyko, I. (105)
Dedovich, D. (105)
..., Wiedner U. (105)
Hussain, T. (105)
Ablikim, M. (105)
An, F. F. (105)
Bennett, J. V. (105)
Bertani, M. (105)
Boger, E. (105)
Briere, R. A. (105)
Cai, H. (105)
Chen, H. S. (105)
Chen, S. J. (105)
Chen, X. R. (105)
Chen, Y. B. (105)
Chu, X. K. (105)
Dai, H. L. (105)
Deng, Z. Y. (105)
Denig, A. (105)
show less...
University
Uppsala University (127)
Linköping University (32)
Karolinska Institutet (22)
Lund University (21)
Royal Institute of Technology (19)
Umeå University (14)
show more...
Chalmers University of Technology (9)
Örebro University (8)
Swedish University of Agricultural Sciences (7)
Stockholm University (5)
University of Gothenburg (4)
Luleå University of Technology (2)
Malmö University (2)
Karlstad University (2)
Halmstad University (1)
Mid Sweden University (1)
show less...
Language
English (223)
Chinese (1)
Research subject (UKÄ/SCB)
Natural sciences (144)
Medical and Health Sciences (45)
Engineering and Technology (28)
Agricultural Sciences (2)
Social Sciences (1)

Year

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view