Jun 18, 2020

The hybrid E/M phenotype of EMT 竟然與 collective migration有關

Survival Outcomes in Cancer Patients Predicted by a Partial EMT Gene Expression Scoring Metric (PubMed Link)

Jason T George, Mohit Kumar Jolly , Shengnan Xu, Jason A Somarelli, Herbert Levine

Recent experimental and theoretical evidence suggests that cells can be stably halted en route to EMT in a hybrid E/M phenotype. Cells in this phenotype tend to move collectively, forming clusters of circulating tumor cells that are key tumor-initiating agents.

上面是昨天寫rebuttal letter讀到Reviewer二號人，指定三篇中的其中一篇(EMT_MLR method)

，abstract上面的話! 有沒有很驚艷?

# 救命paper : 比較三種EMT scoring方法，結論出三種結果相當

Comparative Study of Transcriptomics-Based Scoring Metrics for the Epithelial-Hybrid-Mesenchymal Spectrum

Priyanka Chakraborty, Jason T. George, Shubham Tripathi, Herbert Levine and Mohit Kumar Jolly 覺得這個 corresponding author Jolly 很可疑.. 印度英語是否與英式英語相近? 說 tumour 而非 tumor 即是 tumour

#DDR1

Jun 14, 2020

D614G的最新進展

被地震嚇醒，然後.. 找到知音了

一整個掃掉被地震嚇醒的擔憂，哈哈哈原新聞連結如右 tinyurl.com/ya4ydkd3

The D614G mutation in the SARS-CoV-2 spike protein reduces S1 shedding and increases infectivity (bioRxive 06/12)
Lizhou Zhang, Cody B Jackson, Huihui Mou, Amrita Ojha, Erumbi S Rangarajan, Tina Izard, Michael Farzan, Hyeryun Choe
作者群名字看起來像中國人，其實是USA Scripps Research Institute

# (old thought by SFL) 這個點與ACE2結合區離得蠻遠的，看得出來它自成一區，但卻無法猜出分子機轉。另外，D to G 似乎在演化上是理所當然之變...

06/15 原來要這樣講才對... https://youtu.be/Fvd-J1kIOYQ?t=31

# SARS-CoV2

# D614G

Jun 13, 2020

Reviewer 3: It will be nice if you can share the codes... (CAF index MS)

哎呦我的媽，醜醜的code見得了人嗎?

Difference between R MarkDown and R NoteBook

NoteBook多一個 .html檔，多麽邪魔

2020 ASCO20 Virtual Meeting (05/29-05/31 Scientific)

The ASCO20 Virtual Scientific Program is days away. Follow these tips and access meeting materials to ensure a successful and easy virtual experience.

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Access Meeting Materials

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2020 ASCO20 Virtual Meeting (08/08-08/10 Education)

2020 ASCO20 Virtual (HomePage)

Access Meeting Materials

Abstracts for the ASCO20 Virtual Scientific Program are now available on ASCO Meeting Library or as downloadable PDFs. 💖💜🙏🙆🙆🙆

Meeting Videos and Slides will be available on ASCO Meeting Library for all registered attendees beginning May 29.

Read ASCO Daily News for updates before, during, and after the Scientific Program.

Browse the 2020 ASCO Educational Book for a preview of the ASCO20 Virtual Education Program, to be held August 8-10. 💙💚💜💝

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May 1, 2020

國際會議連結網址

2022 The 20th International Symposium on Epstein-Barr virus (EBV) and Associated Diseases will be held in Siena, Italy, on July 3rd-6th, 2022. (http://www.congressi.unisi.it/ebvconferencesiena/)

2020 EBV20 (Hokkaido, Japan) (Postponed due to pandemics)

2020 AACR56 virtual meeting 04/27-04/28 06/22-06/24

2020 ASCO20 virtual meeting 05/29-05/31 (Scientific) 08/08-08/10 (Education)

2019 ASCO19 (Chicago, USA) index page

2019 KSHV22 workshop (New York, USA) (Link)

2018 EBV and KSHV 2018 (Link)

Chicago Airport Shuttle Bus (Link)
Meeting notes by SFL (index page)

GRC NPC 2018 (Link)

HKU AoE (Link)
Meeting notes by SFL (index page)

GRC NPC 2016 (Link)

Meeting notes by SFL and Ming-Han (index page)

_________________________

Conferences and meetings in EBV Association (U. Sussex, 2018/8/8 註冊) (Link)

Biannual International Symposium on Nasopharyngeal Carcinoma

7th 2015 Yogyakarta – Indonesia (Link) (Proceedings of the meeting)
6th 2013 Istanbul, Turkey (Link)
5th 2011 Penang, Malaysia (Link)
4th 2009
3rd 2007
2nd 2005
1st 2003

Apr 27, 2020

2020 AACR Virtual Meeting - II (06/22 ~ 06/24)

Back to search page (較簡潔)

Home for virtual meeting II (https://aacr20vm2.onlineeventpro.freeman.com/)
(MyAACR sflin1 | Gn9)

06/22 10:00-12:20 AM
SESSION PL01 - Opening Plenary Session: Turning Science into Lifesaving Care

2020 AACR Virtual Meeting - I (04/27 ~ 04/28)

AACR 2020 Virtual Meeting I

Virtual Meeting Announcement site (find abstracts easier in this site)
Search by "tumor microenvironment" ----> by Date ----> 04/27 nothing interesting

04/28 (https://www.abstractsonline.com/pp8/#!/9045/session/838)
Evaluating Cancer Genomics from Normal Tissues through Evolution to Metastatic Disease

5702 - A spatially resolved single cell atlas of the human breast (Tapsi Kumar & Kai Kessenbrock)

Abstract

The human breast consists of lobules connected to an intricate network of ducts that are surrounded by fatty tissues, designed to produce and transport milk to nourish offspring. Histopathology has identified 10 major cell types based on morphological features but have provided limited information on cell states - the transcriptional programs of cell types that reflect different biological functions. In this study we have generated an unbiased ‘cell atlas’ of the normal human breast to define the cell types and cell states using single cell RNA sequencing and spatial transcriptomics methods. We performed 3’ microdroplet based single cell and nuclei RNA sequencing of 248,687 stromal cells and 89,301 nuclei from 24 women with pathologically normal breast tissues that were collected from mastectomies and reduction mammoplasties. Unbiased expression analysis identified four major cell types: adipocytes, epithelial cells (luminal and basal), fibroblasts and endothelial cells and defined their transcriptional programs. Additionally, 8 minor cell types were identified in the breast, including macrophages, T-cells, natural killer cells, mast cells, pericytes, apocrine cells, neurons and smooth muscle cells. Our data revealed hundreds of novel markers of these cell types and defined their transcriptional programs and cell states. Most cell types had multiple transcriptional programs including luminal epithelial cells (hormone receptor positive and secretory), basal epithelial cells (myoepithelial or basal), endothelial cells (E1, E2, E3), myeloid cells, T-cells and fibroblasts (F1-F4) and provided insight into developmental lineages. We further delineated the spatial organization of these cell types and cell states within the tissue architecture using spatial transcriptomics assay. The breast cell atlas data provides an invaluable normal reference for the research community to understand how normal cell types are reprogrammed in diseases such as breast cancer.