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update 01-02-24
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vivekbhr committed Feb 1, 2024
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2 changes: 1 addition & 1 deletion content/contact.md
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---
title: Contact
date: 2024-02-01T03:10:36.000Z
date: 2024-01-01T03:10:36.000Z
draft: false
language: en
description: Contact form
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10 changes: 5 additions & 5 deletions hugo.yaml
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content:
- text: "The long-term goal of our lab is to transform human medicine by enabling technologies for in-vivo, directed (re)programming of stem cells into specialized cell types."
- text: "To acheive this, we need to develop a strong understanding of the fundamental mechanisms that guide the fate decisions for 'naive' stem and pluripotent cells inside our body. During development of an embryo, these cells, which share their genetic code, start to diversify in their 'epigenetic' landscapes. Guided by the regulatory proteins (transcription factors) and their chromatin environment, these cells change their identity in order to perform specific tasks."
- text: "By learning the quantitative (dose-response) relationship between the epigenetic factors and the decision making process of the cells, we would be able to efficiently reprogram the stem cells into a desired cell type. We can use this understanding to build therapies towards regenerative medicine, healthy aging and cancer."
- text: "By learning the quantitative, dose-response relationship between the epigenetic factors and the decision making process of the cells, we would be able to efficiently reprogram the stem cells into a desired cell type. We can use this understanding to build therapies towards regenerative medicine, healthy aging and cancer."
links:
- text: Learn more about epigenetic reprogramming
url: "#"
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heading: "Our approach"
image: "images/pages/web_slides_p2.png"
content:
- text: "In recent years, several experimental methods have been developed to systematically map the chromatin environment of individual cells, and quantify the gene expression levels of transcription factors. This allows us to build a quantitative understanding of the role of such factors into cellular decision-making."
- text: "In our research group, we use such experimental methods (specifically, single-cell and single-molecule genomics technologies) to understand cellular decision-making. These methods produce large scale data, typically measuring thousands of genes over thousands of cells, molecules, or samples. We use these datasets to develop statistical and/or machine learning models that can learn the quantitative relationship between the regulators (transcription factors, chromatin context), and a cell's current or future state."
- text: "In recent years, several experimental methods have been developed to systematically map the chromatin environment of individual cells, and quantify the gene expression levels of transcription factors. This allows us to build data-driven models that explain the role of these proteins into cellular decision-making."
- text: "In our research group, we use such experimental methods (specifically, single-cell and single-molecule genomics technologies) to understand cellular decision-making. These methods produce large scale data, typically measuring thousands of genes over thousands of cells, molecules, or samples. We use these datasets to develop statistical and machine learning models that can explain the relationship between the regulators (transcription factors, chromatin context), and a cell's current or future state."
links:
- text: Learn more about our technologies
url: "#"
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pre: stars # can be stars, comments or piechart
name: Software
post: "Open-source software from our lab"
url: "#"
url: "https://github.com/bhardwaj-lab"
weight: 10
- identifier: protocols
pre: stars # can be stars, comments or piechart
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pre: comments # can be stars, comments or piechart
name: Open positions
post: "Join us"
url: "#"
url: "/contact/"
weight: 40
footer:
- identifier: about
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