About.py

#2023-02-06 14:07:28 
import streamlit as st
import pandas as pd 
import numpy as np
import seaborn as sns

st.set_page_config(#page_icon="🧊",
    layout="centered",
    initial_sidebar_state="expanded",
    page_title="Pediatric Solid Tumor PDX"
    )
st.header('Pediatric Solid Tumor PDX Portal (pstPDX)')

st.write('Patient-Derived Xenografts (PDX) are an important tool for developing new therapies and understanding cancer biology in pediatric oncology. We have developed 68 PDXs from rare solid childhood cancers in a joint effort between Greehey Children’s Cancer Research Institute UT Health San Antonio and UT Southwestern. These models have been profiled with one or more sequencing methods. ')

st.write('We have created :blue[pstPDX] portal to share this resource with the community. On the portal users can query and request PDXs. The gene expression page also allows users to compare the expression of a gene across cancer types. ')

st.write('The raw sequencing data are available at EGA ([EGAS00001006710](https://ega-archive.org/datasets/EGAD00001009863)). The processed data, including identified clinical data, mutations, copy number, and gene expression can be found on synapse ([syn35811916](https://www.synapse.org/#!Synapse:syn35811916/files/)). ')

st.write('- Request for PDX data (mutations/expression) can be made on the [Model Query](https://pstpdx.streamlit.app/Model_Query) page.')
st.write('- Request PDX tissue for research purpose can be made on the [Request](https://pstpdx.streamlit.app/Request) page.')
st.write('- Any questions about the portal should be directed to :blue[zhenglab@uthscsa.edu]. We will provide feedback in 3-5 business days upon receipt of the request. ')

st.write('**Citation:**')
st.write('He, F., Bandyopadhyay, A.M., Klesse, L.J. et al. Genomic profiling of subcutaneous patient-derived xenografts reveals immune constraints on tumor evolution in childhood solid cancer. Nat Commun 14, 7600 (2023). https://doi.org/10.1038/s41467-023-43373-1')