Baseline cell proliferation rates and response to UV differ in lymphoblastoid cell lines derived from healthy individuals of extreme constitution types-Reference-Cited by-同舟云学术

Baseline cell proliferation rates and response to UV differ in lymphoblastoid cell lines derived from healthy individuals of extreme constitution types

Published:2021-04-18 Issue:9 Volume:20 Page:903-913
ISSN:1538-4101
Container-title:Cell Cycle
language:en
Short-container-title:Cell Cycle

Author:

Chakraborty Sumita¹²³⁴,Singhmar Sunanda¹²³⁴,Singh Dayanidhi¹²³⁴,Maulik Mahua²⁵,Patil Rutuja⁶,Agrawal Satyam Kumar¹²⁷,Mishra Anushree³,Ghazi Madeeha³⁴,Vats Archana¹²,Natarajan Vivek T³⁴,Juvekar Sanjay⁶,Prasher Bhavana¹²³⁴^ORCID,Mukerji Mitali¹²³⁴^ORCID

Affiliation:

1. Centre of Excellence for Applied Development of Ayurveda Prakriti and Genomics, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India

2. CSIR Ayurgenomics Unit-TRISUTRA, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India

3. Genomics and Molecular Medicine, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India

4. Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India

5. Department of Biological Sciences, Indian Institute of Science Education & Research, IISER Kolkata, Mohanpur, Nadia, West Bengal, India

6. Vadu Rural Health Program, KEM Hospital Research Centre, Pune, Maharashtra, India

7. School of Pharmacy and Emerging Sciences (SPES), Baddi University of Emerging Science and Technology (BUEST), Baddi, Himachal Pradesh, India

Funder

Council of Scientific and Industrial Research, India

Ministry of Ayurveda, Yoga and Naturopathy, Unani, Siddha and Homoeopathy

Publisher

Informa UK Limited

Subject

Cell Biology,Developmental Biology,Molecular Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15384101.2021.1909884

Reference38 articles.

1. Exploiting Gene-Environment Interaction to Detect Genetic Associations

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3. Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes

4. Trans-Omics: How To Reconstruct Biochemical Networks Across Multiple ‘Omic’ Layers

5. Identifying Combinations of Cancer Markers for Further Study as Triggers of Early Intervention

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