Kedar Nath Natarajan

Principal Investigator/Associate Professor

Technical University of Denmark

Denmark

Research Interests

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About

Dr. Kedar Nath Natarajan is an Associate Professor and Principal Investigator at the Technical University of Denmark. His research encompasses extensive studies in single-cell profiling, chromatin dynamics, and oncogenic signaling pathways, with a particular focus on their implications in health and disease. Recent publications include investigations into the variability of chromosomal folding in mammalian cells and the use of CRISPR technology in genomic research. He is dedicated to advancing our understanding of cellular mechanisms through innovative experimental approaches.

Articles (17)

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2025

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2020

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2020

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2020

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2020

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2020

Collaborators (36)

Claudine Chaouiya

Associate Professor

Aix-Marseille University

FRANCE

Kedar Nath Natarajan

Research Interests

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About

Articles (17)

Extensive folding variability between homologous chromosomes in mammalian cells

Matching queried single-cell open-chromatin profiles to large pools of single-cell transcriptomes and epigenomes for reference supported analysis

A single-cell, time-resolved profiling of Xenopus mucociliary epithelium reveals nonhierarchical model of development

A single-cell, time-resolved profiling of Xenopus mucociliary epithelium reveals non-hierarchical model of development

CRISPR-Cas12a-integrated transgenes in genomic safe harbors retain high expression in human hematopoietic iPSC-derived lineages and primary cells

Exploration of cell state heterogeneity using single-cell proteomics through sensitivity-tailored data-independent acquisition

Oncogenic signaling pathways in pancreatic ductal adenocarcinoma

Cell Competition in Carcinogenesis

PPARγ lipodystrophy mutants reveal intermolecular interactions required for enhancer activation

Searching match for single-cell open-chromatin profiles in large pools of single-cell transcriptomes and epigenomes for reference supported analysis

scmTE: multivariate transfer entropy builds interpretable compact gene regulatory networks by reducing false predictions

TENET: gene network reconstruction using transfer entropy reveals key regulatory factors from single cell transcriptomic data

Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression

Single-cell transcriptomics identifies CD44 as a marker and regulator of endothelial to haematopoietic transition

Transcriptional Dynamics of Hepatic Sinusoid‐Associated Cells After Liver Injury

Predicting gene regulatory networks from cell atlases

SBML Level 3: an extensible format for the exchange and reuse of biological models

Collaborators (36)

Claudine Chaouiya

Marco Antoniotti

junil kim

Pedro Aragon-Fernandez

Hidde de Jong

Devin Sullivan

Sylvain Soliman

Taejoon Kwon

Lucian P. Smith

Colin Gillespie

Emily Brookes

Emanuel Gonçalves

Thomas Lund Andersen

Brett Olivier

Nil Üresin

Davis McCarthy

Bo Porse

Chris Cox

Florian Buettner

Trevor A Graham

Sarah Keating

Tune Pers

Rainer Machné

Tae Joo Park

Martí Morera Gómez

Sarah Line Skovbakke

Daniel Seaton

Christoph Flamm

Akira Funahashi

Kim Ravnskjaer

Ronny Drapkin

Allyson Lister

Saskia W. C. van Mil

Gergo Kovacs

Martina Kutmon

Frank Bergmann

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