This README.txt file was generated on <YYYYMMDD> by <Name>

#
# General instructions for completing README: 
# For sections that are non-applicable, mark as N/A (do not delete any sections). 
# Please delete all commented sections after you completed this README . 
#

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GENERAL INFORMATION
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1. Title of Dataset:Lei JIN_Dataset

#
# Authors: Include contact information for at least the 
# first author and corresponding author (if not the same), 
# specifically email address and faculty. 
# Contact information for all authors is preferred.
#

2. Author Information
<create a new entry for each additional author>

First Author Contact Information
    Name:Lei JIN
    Faculty:Li Ka Shing Faculty of Medicine
    Email:u3005103@hku.hk



Corresponding Author Contact Information
    Name:Gilberto, Ka-Kit LEUNG
    Faculty:Li Ka Shing Faculty of Medicine
    Email:gilberto@hku.hk


Author Contact Information (if applicable)
    Name:
    Faculty:
    Email:


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DATA & FILE OVERVIEW
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#
# Directory of Files in Dataset: List and define the different 
# files included in the dataset. This serves as its table of 
# contents. 
#

Directory of Files:
   A. Filename:Supporting data for Chapter 3         
      Short description: this file contains the data determining the mRNA and protein expression profiles of VMP1 in normal brain tissues and different grades of glioma, correlations between VMP1 and clinico-pathologics and overall survival of glioma patients.          


        
   B. Filename:Supporting data for Chapter 4        
      Short description: this file contains the data evaluating the loss- and gain-of-function effects of VMP1 on glioma both in vitro using multiple assays including MTT, EdU, colon formation and cell cycle assay and in vivo with U87 subcutaneous and intracranial xenografts.      


        
   C. Filename:Supporting data for Chapter 5        
      Short description: this file contains data deciphering the underlying mechanism of VMP1-mediated functional effects in vivo but not in vitro. Bioinformatic analysis with CGGA dataset revealed potential functional pathways: ECM-receptor interaction and VEGF signalling, which were further verified with ECM-embedded cell culture and an indirect system that conditioned media from control and VMP1-overexpressing GBM cells were collected to incubate endothelial cells. Angiogenesis-related secretory factors were measured with human angiogenesis array and verified by western blot with U87 VMP1 OE subcutaneous xenografts and public dataset analysis.    


Additional Notes on File Relationships, Context, or Content 
(for example, if a user wants to reuse and/or cite your data, 
what information would you want them to know?):              


#
# File Naming Convention: Define your File Naming Convention 
# (FNC), the framework used for naming your files systematically 
# to describe what they contain, which could be combined with the
# Directory of Files. 
#

File Naming Convention:


#
# Data Description: A data description, dictionary, or codebook
# defines the variables and abbreviations used in a dataset. This
# information can be included in the README file, in a separate 
# file, or as part of the data file. If it is in a separate file
# or in the data file, explain where this information is located
# and ensure that it is accessible without specialized software.
# (We recommend using plain text files or tabular plain text CSV
# files exported from spreadsheet software.) 
#

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DATA DESCRIPTION FOR: [FILENAME]
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<create sections for each dataset included>


1. Number of variables:


2. Number of cases/rows: 


3. Missing data codes:
        Code/symbol        Definition
        Code/symbol        Definition


4. Variable List

#
# Example. Name: Gender 
#     Description: Gender of respondent
#         1 = Male
#         2 = Female
#         3 = Transgender
#	      4 = Nonbinary
#		  5 = Other gender not listed 
#		  6 = Prefer not to answer
#

    A. Name: <variable name>
       Description: <description of the variable>
                    Value labels if appropriate


    B. Name: <variable name>
       Description: <description of the variable>
                    Value labels if appropriate

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METHODOLOGICAL INFORMATION
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#
# Software: If specialized software(s) generated your data or
# are necessary to interpret it, please provide for each (if
# applicable): software name, version, system requirements,
# and developer. 
#If you developed the software, please provide (if applicable): 
#A copy of the software’s binary executable compatible with the system requirements described above. 
#A source snapshot or distribution if the source code is not stored in a publicly available online repository.
#All software source components, including pointers to source(s) for third-party components (if any)

1. Software-specific information:
<create a new entry for each qualifying software program>

Name:
Version:
System Requirements:
Open Source? (Y/N): 

(if available and applicable)
Executable URL:
Source Repository URL:
Developer:
Product URL:
Software source components:


Additional Notes(such as, will this software not run on 
certain operating systems?):


#
# Equipment: If specialized equipment generated your data,
# please provide for each (if applicable): equipment name,
# manufacturer, model, and calibration information. Be sure
# to include specialized file format information in the data
# dictionary.
#

2. Equipment-specific information:
<create a new entry for each qualifying piece of equipment>

Manufacturer:
Model:

(if applicable)
Embedded Software / Firmware Name:
Embedded Software / Firmware Version:
Additional Notes: