Nov 14, 2014
MOST104
2014/12/7: Arecoline-induced epigenomic changes in human oral keratinocytes
檳榔鹼誘導人類口腔角質細胞中表觀遺傳體改變之研究
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計畫內容(C12-1, C12-2 no more than 23 pages; references no more than 5 pages)
(一)近五年之研究計畫內容與主要研究成果說明。(C12-1)
台灣口腔癌細胞株中八十三個酪氨酸激酶表現剖繪
Expression profiling of 83 protein tyrosine kinases in Taiwanese oral cancer cell lines.
Figure 1 (DDR1 and collective cancer cell migration) (Eur J Cancer. 2012 48 (Suppl. 6): 167)
以次世代定序方法RNA-Seq分析台灣口腔癌細胞株與不朽化口腔角質細胞株
RNA-Seq analysis of Taiwanese oral cancer cell lines and immortalized keratinocyte lines.
Figure 2 (FGFR3-TACC3 gene fusion) (Cancer Discovery 2013 3: 636 pdf 3670)
參與建立台灣口腔癌與潛在惡性病症生物資料庫
Taiwan OPMD and Oral Cancer bioinformatic Database, TOP-OCD
– RNA-Seq FPKM values for each Taiwanese oral cancer cell lines under the following link (http://molas.iis.sinica.edu.tw/OralCancer)
– 40 Tumor/Normal paired oral cancer tissues (http://molas.iis.sinica.edu.tw/fold1)
– DOK projects (http://molas.iis.sinica.edu.tw/DOK2)
– New data from TOP-OCC (Taiwan OPMD and Oral Cancer Consortium, starts from Jan. 2015)
Nov 7, 2014
DDR1 manuscript 相關
2015/05/08 (Thu) MS submitted to Research Topic "Oral Oncology"
2015/05/30 (Sat) MS returned, interactive reviews activated:
Editor: Rui Amaral Mendes Catholic University of Portugal; Editor of J Carcinogenesis and Mutagenesis; Adhuant Prof at CWRU
2015/08/28 rejected... by Specialty Chief Editor JeanPascal Machiels
Reviewer#1:
加上morphology圖於Fig 1B
band quantitation
spheroid invasion
Reviewer#2:
移入IHC圖於Fig 5E
補上shRNA sequences and offtarget exp result 於Fig S1B
|
TOP-OCC and TOP-OCD
2014/11/12 OPMD IRB:
基因檢測是以單核苷酸多態性(single nucleotide polymorphism, SNP)為主,特別是會影響酵素功能的功能性(functional)SNP與在亞洲人當中比較重要的SNP。SNP的檢測將採用Taqman allele discrimination的方式1。
首先,把DNA的濃度標準化為15ng/µL。然後,在96孔盤裡分別加入84位不同研究對象的DNA與試劑的混合液(2µL=30ng DNA in a 25µL reaction)、8個陽性對照及4個陰性對照,預計共需要24個96孔盤來完成所有研究對象(N=2000)每一個SNP的檢測。接著,把96孔盤放置在Applied Biosystem 7500 real time PCR(Foster City, CA)進行資料的讀取。每一個SNP的檢測將會經過幾個步驟的品質管制:
a. 以對照組的檢測資料來評估Hardy-Weinberg disequilibrium,p值<0.01的SNP將被排除。
b. Allele 的頻率將與the International Hapmap Project(www.hapmap.org)2 的中國人的基因資料來做比較。
c. 偵測頻率(call rate)< 95%的SNP將被排除。
d. 10%的DNA樣本將被重覆檢測來評估檢測的準確度。
a. 以對照組的檢測資料來評估Hardy-Weinberg disequilibrium,p值<0.01的SNP將被排除。
b. Allele 的頻率將與the International Hapmap Project(www.hapmap.org)2 的中國人的基因資料來做比較。
c. 偵測頻率(call rate)< 95%的SNP將被排除。
d. 10%的DNA樣本將被重覆檢測來評估檢測的準確度。
1. de Kok JB, Wiegerinck ET, Giesendorf BA, Swinkels DW. Rapid genotyping of single nucleotide polymorphisms using novel minor groove binding DNA oligonucleotides (MGB probes). Hum Mutat. 2002;19:554-559.
2. The International HapMap Consortium. (2003) The International HapMap Project. Nature;426:789-796.
2. The International HapMap Consortium. (2003) The International HapMap Project. Nature;426:789-796.
#1由 sufang 在 二, 10/06/2015 - 10:43 發表。
Genetic variants in one-carbon metabolism genes and breast
Nov 4, 2014
Epigenetic Talks Bing Ren
Dear All,
I like to invite you to join two exciting Epigenetic Talks by the world leading scientists Yi Zhang and Bing Ren on Oct 23 and Nov 4, respectively, at Academia Sinica.
Bing Ren
UCSD
Regulation of the 3D Genome
11 am, Nov 4, 2014
B1 Auditorium, IMB, Academia Sinica
Dr. Bing Ren, Member of Ludwig Institute for Cancer Research San Diego Branch and Professor at Department of Cellular and Molecular Medicine UCSD School of Medicine, is one of the top scientists worldwide in deep sequencing in both biology study and innovative technology development and one of the World’s Most Influential Scientific Minds in 2014 selected by Thomas Reuters. We strongly believe that his visit will advance our view towards this explosive field and may very likely stimulate significant progress of our local genome-wide study and international collaboration.
Representative publications:
Jin F, Li Y, Dixon JR, Selvaraj S, Ye Z, Lee AY, Yen CA, Schmitt AD, Espinoza CA, Ren B.
Nature. 2013 Nov 14;503(7475):290-4. doi: 10.1038/nature12644. Epub 2013 Oct 20.
Nov 2, 2014
Tak Wah Mak
由 sufang 在 日, 11/02/2014 - 11:09 發表 Pre-published Cancer Metabolism Notes
Genomic alterations in cancers
mutations (300,000; > 20,000 genes)
epithelial : 50-100; leukemia: 20
amplifications (3000)
deletions (thousands)
translocations (fusions: 7000)
epigenetic changes (extensive)
Drivers : hundred, 90% loss of functions
Inter-and intra-tumor heterogeneity (Charles Sweton)
< 1/2 mutated or amplified genes expressed
mutations (300,000; > 20,000 genes)
epithelial : 50-100; leukemia: 20
amplifications (3000)
deletions (thousands)
translocations (fusions: 7000)
epigenetic changes (extensive)
Drivers : hundred, 90% loss of functions
Inter-and intra-tumor heterogeneity (Charles Sweton)
< 1/2 mutated or amplified genes expressed
Oct 30, 2014
2014年10月30日癌症研究國際研討會: 從基礎科學到臨床應用
首頁: http://scr.nhri.org.tw/index.jsp 台大醫院國際會議中心 301會議室 (77240109) 衛福部 許明能次長致辭 龔院長致辭 1. 張元吉教授: Combination targeted therapy in advanced lung cancer 2. 陳慶士教授: Fighting an organized crime network in pancreatic cancer: tumor and its microenvironment 3. 馮新華教授: How cancer cells escape from TGF-b control? 5. 楊慕華教授: The two sided effect of snail in cancer metastasis 6. 洪明奇院士: Mechanism-driven target therapy 7. 閻雲校長: Nanoparticles conjugated shRNA in cancer therapy 8. 麥德華教授: Future anti-cancer targets: put the cart before the horses? 9. 葉祥勝博士: Pre-competitive collaborations to promote cancer reasearch and drug development in Asia 10. 侯明峰教授: The role of adipocytokines in breast cancer Round Table Duscussion:
10/31 Mini-symposium at NHRI 10/30/2014 Asia/Taipei | ||
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王陸海院士: Glucocorticoids mediated induction of miRNA-708
侯明峰教授: The role of adipocytokines in breast cancer
葉祥勝博士: Pre-competitive collaborations to promote cancer
麥德華教授 Future anti-cancer targets: put the cart before the horses
Immune
Aneuploidy
TTK spindle assembly checkpoint
Metabolism
Redox
Oncogenes inudce a lot of ROS
Scagengers: Glutathione NADPH, NRF2
De novo GSH synthesis
Nature (2012). IDH1(R132H) mutation increases murine haematopoietic progenitors and alters epigenetics.
Genes Dev (2012). D-2-hydroxyglutarate produced by mutant IDH1 perturbs collagen maturation and basement membrane function.
Cancer Discovery (2013). Oncogenic isocitrate dehydrogenase mutations: mechanisms, models, and clinical opportunities.
Nat Rev Drug Discov 2013: Modulation of oxidative stress as an anticancer strategy.
閻雲校長:Nanoparticles conjugated shRNA in cancer therapy
洪明奇院士: Mechanism-driven target therapy
楊慕華教授: The two sided effect of snail in cancer metastasis
Snail is primarily known as a transcriptional repressor that induces epithelial-mesenchymal transition by suppressing adherent proteins. Emerging evidence suggests that Snail can act as an activator; however, the mechanism and biological significance are unclear. Here, we found that CREB-binding protein (CBP) is the critical factor in Snail-mediated target gene transactivation. CBP interacts with Snail and acetylates Snail at lysine 146 and lysine 187, which prevents the repressor complex formation. We further identified several Snail-activated targets, including TNF-α, which is also the upstream signal for Snail acetylation, and CCL2 and CCL5, which promote the recruitment of tumor-associated macrophages. Here, we present our results on the mechanism by which Snail induces target gene transactivation to remodel the tumor microenvironment. PMID: 25314079
Significance
The understanding of Snail as an activator is relatively limited, compared with the knowledge of Snail as a repressor. Here, we identify the mechanism that guides the activity of Snail through the acetylation of Snail. The “yin and yang” effect of Snail is, therefore, elucidated; “repressor Snail” inhibits adherent protein expression to promote the disaggregation and migration of epithelial cancer cells, whereas “activator Snail” induces mesenchymal proteins to complete EMT and cytokine expression to remodel the tumor microenvironment. The paracrine effect of cells undergoing EMT has been highlighted, explaining the pivotal role of these stem-like cancer cells in host-cancer interplay.
Figure 8. Clinical Significance of Snail Acetylation in Head and Neck Cancer Patients. (A) PLA for detecting acetylated Snail (left) and IHC for analyzing CD68+ (middle) or CD163+ (right) macrophages in head and neck cancer patients. The arrows indicate the representative PLA-positive signals. Case 1 is a representative case with increased acetylated Snail and CD68+/CD163+ macrophages. Case 2 is a representative case with low acetylated Snail and macrophage recruitments. Scale bars: for PLA photo, 20 μm; for CD68/CD163 IHC, 200 μm. (B) The box plot for showing the percentage of PLA-positive cells in CD68low versus CD68high (upper panel) and CD163low versus CD163high (lower panel) head and neck cancer samples (n = 15). The p value was shown in each panel. The box plots represent sample maximum (upper end of whisker), upper quartile (top of box), median (band in the box), lower quartile (bottom of box), and sample minimum (lower end of whisker). (C) Representative results of immunohistochemistry using the antibody against acetylated Snail lysine 187 or a macrophage marker CD163 in head and neck cancer samples. Case 1, a representative case of increased acetylated Snail in cancer cells and tumor-associated macrophages. Case 2, a representative case of low level of acetylated Snail in cancer cells and few macrophages. Scale bars, 200 μm. (D) A Kaplan-Meier analysis of the progression-free survival in 82 head and neck cancer patients. The p value is shown in the panel.
Acetylation of Snail in Head and neck cancer !! acetylation of snail --> transcriptinal activator!
Tumor Microenvironment in HNSCC (Cancer Cell Oct-2014) http://eln.nhri.org.tw/lims/?q=node/1836 按我
安康教授: From nutrient deficiency to mitochondria dysfunction
馮新華教授: How cancer cells escape from TGF-b control?
3. 馮新華教授 (Xin-Hua Feng, Life Sciences Institute, Zhejiang University, PRC)
陳慶士所長: Fighting an organized crime network in pancreatic cancer
Dr. Alex Chang 張元吉教授
Dr. Alex Chang 張元吉教授 (Johns Hopkins Singapore International Medical Centre, Singapore) Combination targeted therapy in advanced lung cancer