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获诺贝尔奖的“诱导多能干细胞(iPSC)”诱发畸胎瘤,国际研究文

已有 3883 次阅读 2013-9-21 07:17 |个人分类:干细胞学|系统分类:科研笔记|关键词:干细胞,国际| 干细胞, 国际

   今天早晨看到李老师的博文,感到很惊讶:诺贝尔奖的诱导多能干细胞的新发展-一个可能的警告!http://blog.sciencenet.cn/home.php?mod=space&uid=847277&do=blog&id=726543

看来这个诺贝尔奖发的太着急了,没有经过多少时间的考验。

2013 Sep 11. doi: 10.1038/nature12586. [Epub ahead of print]

Reprogramming in vivo produces teratomas and iPS cells with totipotency features.

Source

Tumour Suppression Group, Spanish National Cancer Research Centre (CNIO), Madrid E-28029, Spain.

Abstract

Reprogramming of adult cells to generate induced pluripotent stem cells (iPS cells) has opened new therapeutic opportunities; however, little is known about the possibility of in vivo reprogramming within tissues. Here we show that transitory induction of the four factors Oct4, Sox2, Klf4 and c-Myc in mice results in teratomas emerging from multiple organs, implying that full reprogramming can occur in vivo. Analyses of the stomach, intestine, pancreas and kidney reveal groups of dedifferentiated cells that express the pluripotency marker NANOG, indicative of in situ reprogramming. By bone marrow transplantation, we demonstrate that haematopoietic cells can also be reprogrammed in vivo. Notably, reprogrammable mice present circulating iPS cells in the blood and, at the transcriptome level, these in vivo generated iPS cells are closer to embryonic stem cells (ES cells) than standard in vitro generated iPS cells. Moreover, in vivo iPS cells efficiently contribute to the trophectoderm lineage, suggesting that they achieve a more plastic or primitive state than ES cells. Finally, intraperitoneal injection of in vivo iPS cells generates embryo-like structures that express embryonic and extraembryonic markers. We conclude that reprogramming in vivo is feasible and confers totipotency features absent in standard iPS or ES cells. These discoveries could be relevant for future applications of reprogramming in regenerative medicine.

PMID: 24025773 [PubMed - as supplied by publisher]
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提到Oct4, Sox2, Klf4 and c-Myc 四种因素导致畸胎瘤,
我按照您的检索式在pubmedplus检索,然后分析基因蛋白,正好可以分析
出这四种蛋白。请参考附件。http://webmail.vip.163.com/js5/read/readpic.jsp?sid=DAtGcCppAauKulWonAppDilSuwdKDISj&mid=6:1tbiBhifrVD2iU8OzQAAsP&part=3&mode=inline&l=read&action=open_attach
four factors Oct4, Sox2, Klf4 and c-Myc in mice results in teratomas emerging from multiple organs

谢谢郑总,你的分析结果很重要,我加上这些分析数据,供科研人员参考。
许培扬

  • 检索策略:

  • (("teratoma"[MeSH Terms] OR "teratoma"[All Fields] OR "teratomas"[All Fields]) AND ("induced pluripotent stem cells"[MeSH Terms] OR ("induced"[All Fields] AND "pluripotent"[All Fields] AND "stem"[All Fields] AND "cells"[All Fields]) OR "induced pluripotent stem cells"[All Fields] OR ("ips"[All Fields] AND "cells"[All Fields]) OR "ips cells"[All Fields])) AND "teratoma"[mesh]

iPS cells"induced pluripotent stem cells"[MeSH Terms] OR ("induced"[All Fields] AND "pluripotent"[All Fields] AND "stem"[All Fields] AND "cells"[All Fields]) OR "induced pluripotent stem cells"[All Fields] OR ("ips"[All Fields] AND "cells"[All Fields]) OR "ips cells"[All Fields]
teratomas"teratoma"[MeSH Terms] OR "teratoma"[All Fields] OR "teratomas"[All Fields]
Database:
PubMed
User query:
teratomas and iPS cells AND ("teratoma"[mesh])

检索分析平台  http://www.pubmedplus.cn/

 检索时间    2013年9月21日 8时

检索结果    PUBMED数据库检索到相关文献178篇

信息分析结果如下:

研究主题领域:

字段:主题词
记录数
占%
01.teratoma    178 100.000%
02.stem cells    168 94.382%
03.pluripotent stem cells    150 84.270%
04.cell differentiation    124 69.663%
05.cells, cultured    115 64.607%
07.embryonic stem cells    81 45.506%
08.transcription factors    74 41.573%
09.dna-binding proteins    70 39.326%
10.fibroblasts    61 34.270%
11.cell line    54 30.337%
13.mice, scid    50 28.090%
14.gene expression regulation    48 26.966%
15.biological markers    47 26.405%
16.nuclear reprogramming    38 21.348%
18.cell culture techniques    30 16.854%
19.embryo, mammalian    28 15.730%
21.cell proliferation    26 14.607%
22.stem cell transplantation    26 14.607%
23.mice, nude    23 12.921%
24.genetic vectors    22 12.360%
25.homeodomain proteins    21 11.798%
26.mice, inbred c57bl    21 11.798%
27.karyotyping    20 11.236%
30.gene expression profiling    19 10.674%
31.mice, transgenic    19 10.674%
32.immunohistochemistry    18 10.112%
35.neurons    17 9.551%
36.transduction, genetic    16 8.989%
37.gene expression    16 8.989%
38.transgenes    15 8.427%
39.cell lineage    14 7.865%
41.coculture techniques    14 7.865%
42.chimera    13 7.303%
43.mice, inbred nod    13 7.303%
44.lentivirus    13 7.303%
45.flow cytometry    10 5.618%
46.tumor cells, cultured    9 5.056%
47.rna, messenger    9 5.056%
48.alkaline phosphatase    9 5.056%
49.tretinoin    8 4.494%
50.cell dedifferentiation    8 

4.494

字段:副主题词搭配
记录数
占%
01.Cell Differentiation*    124 69.663%
02.Teratoma/pathology    123 69.101%
12.Teratoma/metabolism    53 29.775%
15.Teratoma/etiology    51 28.652%
16.Fibroblasts/cytology    47 26.405%
17.Fibroblasts/physiology    47 26.405%
22.Nuclear Reprogramming*    38 21.348%
24.Fibroblasts/metabolism    35 19.663%
26.Teratoma/genetics    27 15.169%
29.Embryo, Mammalian/cytology    24 13.483%
31.Retroviridae/genetics    21 11.798%
40.Lentivirus/genetics    13 7.303%
45.Genetic Vectors/genetics    11 6.180%
46.Neurons/cytology    11 6.180%
48.Tretinoin/pharmacology    8 4.494%
49.Fibroblasts/drug effects    7 3.933%
50.RNA, Messenger/metabolism    7 3.933%


论文作者分布:




字段:作者缩写..
记录数
占%
01.Yamanaka S    7 3.933%
02.Schöler HR    5 2.809%
03.Wu JC    4 2.247%
04.Mostoslavsky G    4 2.247%
05.Daley GQ    4 2.247%
06.Liu J    4 2.247%
07.Li H    3 1.685%
08.Han DW    3 1.685%
09.Tapia N    3 1.685%
10.Rana TM    3 1.685%
11.Chen J    3 1.685%
12.Xu X    3 1.685%
13.Hu S    3 1.685%
14.Dottori M    3 1.685%
15.Araúzo-Bravo MJ    3 1.685%
16.Greber B    3 1.685%
17.Leung J    3 1.685%
18.Liu L    3 1.685%
19.Raya A    3 1.685%
20.Sommer CA    3 1.685%
21.Reinhardt P    3 1.685%
22.Wang L    3 1.685%
23.Crombie D    2 1.124%
24.Ashraf M    2 1.124%
25.Ko K    2 1.124%
26.He L    2 1.124%
27.Jiang J    2 1.124%
28.Haider HKh    2 1.124%
29.Kim J    2 1.124%
30.Consiglio A    2 1.124%
31.Lee AS    2 1.124%
32.Li X    2 1.124%
33.Li T    2 1.124%
34.Li Z    2 1.124%
35.Lin CP    2 1.124%
36.Liu Q    2 1.124%
37.Rao S    2 1.124%
38.Sun N    2 1.124%
39.Okuka M    2 1.124%
40.Wan DC    2 1.124%
41.Wang F    2 1.124%
42.Longaker MT    2 1.124%
43.Wang Q    2 1.124%
44.Weissman IL    2 1.124%
45.Wolvetang EJ    2 1.124%
46.Wu G    2 1.124%
47.Wu M    2 1.124%
48.Ye X    2 1.124%
49.Yang CS    2 1.124%
50.Reijo Pera RA    2 1.124%

研究机构分布:

















字段:机构
记录数
占%
01.kyoto university    8 4.494%
04.monash university    4 2.247%
07.university of california    4 2.247%
09.university of minnesota    3 1.685%
15.the hebrew university    2 1.124%
19.michigan state university    2 1.124%

文献的期刊分布:



















字段:期刊
记录数
占%
01.Stem Cells Dev    19 10.674%
02.Stem Cells    12 6.742%
03.PLoS One    12 6.742%
04.Cell Transplant    7 3.933%
05.Nature    6 3.371%
06.Nat Biotechnol    5 2.809%
07.Cell Res    5 2.809%
08.Proc Natl Acad Sci U S A    4 2.247%
09.Science    4 2.247%
10.Hum Cell    3 1.685%
11.Circ Res    2 1.124%
12.Biol Reprod    2 1.124%
13.Mol Cell Biol    2 1.124%
14.J Invest Dermatol    2 1.124%
15.Mol Ther    2 1.124%
16.Nat Cell Biol    2 1.124%
17.Cell Cycle    2 1.124%
18.Nat Methods    2 1.124%
19.Cell Stem Cell    2 1.124%
20.Stem Cell Rev    2 1.124%










论文发表年份:







































字段:年份
记录数
占%
01.2011    56 31.461%
02.2012    49 27.528%
03.2010    29 16.292%
04.2009    22 12.360%
05.2008    7 3.933%
06.1987    5 2.809%
07.2007    4 2.247%
08.2006    3 1.685%
09.1984    3 1.685%
10.2004    2 1.124%
11.1993    1 0.562%
12.1982    1 0.562%
13.1983    1 0.562%
14.1992    1 0.562%
15.1988    1 0.562%
16.1989    1 0.562%
17.1999    1 0.562%
18.2000    1 0.562%

论文的国家和地区分布:

字段:国家
记录数
占%
01.美国    55 30.899%
02.日本    27 15.169%
03.中国大陆    19 10.674%
04.澳大利亚    10 5.618%
05.德国    9 5.056%
06.西班牙    6 3.371%
07.加拿大    5 2.809%
08.以色列    5 2.809%
09.英国    5 2.809%
10.中国台湾    4 2.247%
11.法国    4 2.247%
12.意大利    3 1.685%
13.韩国    3 1.685%
14.中国香港    1 0.562%
15.克罗地亚    1 0.562%
16.伊朗    1 0.562%
17.巴西    1 0.562%
18.新加坡    1 0.562%
19.新西兰    1 0.562%
20.瑞典    1 0.562%
21.俄罗斯    1 0.562%






















基因蛋白分析结果:

字段:基因/蛋白1
记录数
占%
01.embryonic    123 69.101%
 02.sox2    59 33.146%
 03.oct4    56 31.461%
 04.klf4    47 26.405%
 05.myc    47 26.405%
 06.c myc    41 23.034%
07.nanog    34 19.101%
08.escs    21 11.798%
09.esc    19 10.674%
10.alkaline phosphatase    16 8.989%
11.oct3    15 8.427%
12.mefs    8 4.494%
13.p53    8 4.494%
14.rex1    8 4.494%
15.oct 4    7 3.933%
16.lif    7 3.933%
17.gfp    7 3.933%
18.p19    5 2.809%
19.pou5f1    5 2.809%
20.p21    4 2.247%
21.bcl 2    3 1.685%
22.cd30    3 1.685%
23.insulin    3 1.685%
24.green fluorescent protein    3 1.685%
25.cell surface antigens    2 1.124%
27.gsk3    2 1.124%
28.mecp2    2 1.124%
29.methyltransferase    2 1.124%
30.stat    2 1.124%
31.runx2    2 1.124%
32.wnt3a    2 1.124%
33.nodal    2 1.124%
34.pax7    2 1.124%
35.actin    1 0.562%
36.agglutinin    1 0.562%
37.con a    1 0.562%
38.epidermal growth factor    1 0.562%
39.hla a    1 0.562%
40.plasminogen activator    1 0.562%
41.akt    1 0.562%
42.ae1    1 0.562%
43.ascs    1 0.562%
44.brl    1 0.562%
45.beta tubulin    1 0.562%












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