Saurabh Raghuvanshi


Research interests: 

The major thrust of the lab is to understand the complicated regulatory networks operative in higher organisms. These networks can be visualized as multi-dimensional systems composed of various genomic elements (proteins, regulatory RNAs, cis-acting elements etc) that interact with each other in response to various developmental and environmental cues. MicroRNAs define one such dimension. They are known to regulate a wide variety of developmental and metabolic processes in both plants and animals. One of the research objectives is to identify novel miRNAs and their interacting partners in plants. In order to gather a comprehensive perspective ‘Deep sequencing' followed by bioinformatics analysis of the entire small RNA population from various tissue and developmental stages of rice is being done. Thus, it would be possible to characterize global changes in the microRNAs population under various developmental and environmental conditions. 
On the other hand, work has also been initiated to conceive logistics for manual literature-based curation of all the rice proteins with a view to develop a protein-centric interaction database of rice. Instead of a simple data compilation, the database would attempt to logically interconnect the various genomic elements on the basis of published information. The ultimate aim is to develop a self-perpetuating database that would act as a hub of information for researchers world-over and also enable research groups to actively share their findings through the database.

Lab focus:
  1. Understanding miRNA mediated stress regulatory schema in plants.
  2. Artificial Intelligence (ML) based data modelling to understand plant regulatory schemas as well as development of tools for precision breeding.

Recipient of NASI-Young scientist Platinum Jubilee Award in Plant sciences, 2006, for outstanding contribution in the field of ‘Genomics and Bioinformatics'

Links for complete publication list:  ORCiD   Scopus
Selected publications:
  1. Balyan S, Kansal S, Jajo R, Behere PR, Chatterjee R, Raghuvanshi S (2023). Delineating the tissue-mediated drought stress governed tuning of conserved miR408 and its targets in rice. Funct Integr Genomics 23(2):187. (IF 2022: 2.9)
  2. Chithung TA, Kansal S, Jajo R, Balyan S, Raghuvanshi S (2023). Understanding the evolution of miRNA biogenesis machinery in plants with special focus on rice. Funct Integr Genomics 23(1):30. (IF 2022: 2.9)
  3. Prasad K, Gour P, Raghuvanshi S, Kumar V (2022). The SARS-CoV-2 targeted human RNA binding proteins network biology to investigate COVID-19 associated manifestations. Int J Biol Macromol 217:853–63. (IF 2022: 8.2)
  4. Gour P, Kansal S, Agarwal P, Mishra BS, Sharma D, Mathur S, Raghuvanshi S (2022). Variety-specific transcript accumulation during reproductive stage in drought-stressed rice. Physiol Plant 174(1):e13585. (IF 2022: 6.4)
  5. Kansal S, Panwar V, Mutum RD, Raghuvanshi S (2021). Investigations on regulation of microRNAs in rice reveal [Ca2+]cyt signal transduction regulated microRNAs. Front Plant Sci 12:720009. (IF 2022: 5.6)
  6. Balyan S, Joseph SV, Jain R, Mutum RD, Raghuvanshi S (2020). Investigation into the miRNA/5' isomiRNAs function and drought-mediated miRNA processing in rice. Funct Integr Genomics 20(4):509–22. (IF 2022: 2.9)
  7. Balyan S, Kumar M, Mutum RD, Raghuvanshi U, Agarwal P, Mathur S, Raghuvanshi S (2017). Identification of miRNA-mediated drought responsive multi-tiered regulatory network in drought tolerant rice, Nagina 22. Sci Rep 7(1):15446. (IF 2022: 4.6)
  8. Mutum RD, Kumar S, Balyan S, Kansal S, Mathur S, Raghuvanshi S (2016). Identification of novel miRNAs from drought tolerant rice variety Nagina 22. Sci Rep 6:30786. (IF 2022: 4.6)
  9. Kansal S, Mutum RD, Balyan SC, Arora MK, Singh AK, Mathur S, Raghuvanshi S (2015). Unique miRNome during anthesis in drought-tolerant indica rice var. Nagina 22. Planta 241(6):1543–59. (IF 2022: 4.3)
  10. Gour P, Garg P, Jain R, Joseph SV, Tyagi AK, Raghuvanshi S (2014). Manually curated database of rice proteins. Nucleic Acids Res 42 (Database issue):D1214–21. (IF 2022: 14.9)
  11. Mutum RD, Balyan SC, Kansal S, Agarwal P, Kumar S, Kumar M, Raghuvanshi S (2013). Evolution of variety-specific regulatory schema for expression of osa-miR408 in indica rice varieties under drought stress. FEBS J 280(7):1717–30. (IF 2022: 5.4)
  12. Saini V, Raghuvanshi S, Khurana JP, Ahmed N, Hasnain SE, Tyagi AK, Tyagi AK (2012). Massive gene acquisitions in Mycobacterium indicus pranii provide a perspective on mycobacterial evolution. Nucleic Acids Res 40(21):10832–50. (IF 2022: 14.9)
  13. Rice Annotation Project (2007). Curated genome annotation of Oryza sativa ssp. japonica and comparative genome analysis with Arabidopsis thaliana. Genome Res 17(2):175–83.
  14. International Rice Genome Sequencing Project [Authors from UDSC- Raghuvanshi S, Mohanty A, Bharti AK, Gaur A, Gupta V, Kumar D, Ravi V, Vij S, Kapur A, Khurana P, Khurana P, Khurana JP, Tyagi AK] (2005). The map-based sequence of the rice genome. Nature 436(7052):793–800. (IF 2022: 64.8)