scispace - formally typeset
Search or ask a question
Author

Jun Lu

Bio: Jun Lu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Medicine & Materials science. The author has an hindex of 135, co-authored 1526 publications receiving 99767 citations. Previous affiliations of Jun Lu include Drexel University & Argonne National Laboratory.


Papers
More filters
Journal ArticleDOI
TL;DR: It is shown that sporophyll maturation of U. pinnatifida in New Zealand influenced fucoidan content and composition, which could potentially be a good resource for natural antioxidants.

188 citations

Journal ArticleDOI
TL;DR: Processed NZ U. pinnatifida had a lower fucoxanthin content and antioxidant activity than freeze-dried Undaria, and commercial wakame from Japan and Korea were further compared.

187 citations

Journal ArticleDOI
13 Feb 2014-Nature
TL;DR: The authors showed that a pulse of CCAAT/enhancer binding protein-α (C/EBPα) followed by overexpression of the Yamanaka 'OSKM' reprogramming factors leads to fast and very efficient B-cell precursors to induced pluripotent stem (iPS) cells.
Abstract: A pulse of C/EBPα followed by overexpression of the transcription factors Oct4, Sox2, Klf4 and Myc leads to fast and very efficient reprogramming of B cell precursors to induced pluripotent stem cells; C/EBPα facilitates transient chromatin accessibility and accelerates expression of pluripotency genes through a mechanism that involves activation of the Tet2 enzyme. A new study by Thomas Graf and colleagues describes how a pulse of C/EBPα (the transcription factor CCAAT/enhancer binding protein-α) followed by overexpression of the Yamanaka 'OSKM' reprogramming factors leads to fast and very efficient reprogramming of B-cell precursors to induced pluripotent stem (iPS) cells. The authors found that C/EBPα facilitates chromatin accessibility and accelerates expression of pluripotency genes through a mechanism that involves activation of the Tet2 enzyme. This demonstration of highly efficient and fast reprogramming of B cells into iPS cells provides a model for the study of the reprogramming process and may also have clinical relevance. CCAAT/enhancer binding protein-α (C/EBPα) induces transdifferentiation of B cells into macrophages at high efficiencies and enhances reprogramming into induced pluripotent stem (iPS) cells when co-expressed with the transcription factors Oct4 (Pou5f1), Sox2, Klf4 and Myc (hereafter called OSKM)1,2. However, how C/EBPα accomplishes these effects is unclear. Here we find that in mouse primary B cells transient C/EBPα expression followed by OSKM activation induces a 100-fold increase in iPS cell reprogramming efficiency, involving 95% of the population. During this conversion, pluripotency and epithelial–mesenchymal transition genes become markedly upregulated, and 60% of the cells express Oct4 within 2 days. C/EBPα acts as a ‘path-breaker’ as it transiently makes the chromatin of pluripotency genes more accessible to DNase I. C/EBPα also induces the expression of the dioxygenase Tet2 and promotes its translocation to the nucleus where it binds to regulatory regions of pluripotency genes that become demethylated after OSKM induction. In line with these findings, overexpression of Tet2 enhances OSKM-induced B-cell reprogramming. Because the enzyme is also required for efficient C/EBPα-induced immune cell conversion3, our data indicate that Tet2 provides a mechanistic link between iPS cell reprogramming and B-cell transdifferentiation. The rapid iPS reprogramming approach described here should help to fully elucidate the process and has potential clinical applications.

187 citations

Journal ArticleDOI
TL;DR: In this paper, the current developments on inorganic and organic sodium ions solid electrolytes, including β/β′′-alumina, NASICON, sulfides, polymers and others, are discussed.

187 citations

Journal ArticleDOI
TL;DR: A large α-helical domain of mammalian Munc 13-1 that is autonomously folded and is sufficient to rescue the total arrest in neurotransmitter release observed in hippocampal neurons lacking Munc13s is identified.
Abstract: Munc13 proteins are essential in neurotransmitter release, controlling the priming of synaptic vesicles to a release-ready state. The sequences responsible for this priming activity are unknown. Here we identify a large α-helical domain of mammalian Munc13-1 that is autonomously folded and is sufficient to rescue the total arrest in neurotransmitter release observed in hippocampal neurons lacking Munc13s.

184 citations


Cited by
More filters
Journal ArticleDOI
04 Mar 2011-Cell
TL;DR: Recognition of the widespread applicability of these concepts will increasingly affect the development of new means to treat human cancer.

51,099 citations

Journal ArticleDOI
TL;DR: The Gene Set Enrichment Analysis (GSEA) method as discussed by the authors focuses on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation.
Abstract: Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.

34,830 citations

Journal ArticleDOI

[...]

08 Dec 2001-BMJ
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

33,785 citations

01 May 1993
TL;DR: Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems.
Abstract: Three parallel algorithms for classical molecular dynamics are presented. The first assigns each processor a fixed subset of atoms; the second assigns each a fixed subset of inter-atomic forces to compute; the third assigns each a fixed spatial region. The algorithms are suitable for molecular dynamics models which can be difficult to parallelize efficiently—those with short-range forces where the neighbors of each atom change rapidly. They can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors. The algorithms are tested on a standard Lennard-Jones benchmark problem for system sizes ranging from 500 to 100,000,000 atoms on several parallel supercomputers--the nCUBE 2, Intel iPSC/860 and Paragon, and Cray T3D. Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems. For large problems, the spatial algorithm achieves parallel efficiencies of 90% and a 1840-node Intel Paragon performs up to 165 faster than a single Cray C9O processor. Trade-offs between the three algorithms and guidelines for adapting them to more complex molecular dynamics simulations are also discussed.

29,323 citations