Page 70 - Annual report 2021-22
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Annual Report 2021-22 |






               Lipi Thukral

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               Lipi Thukral works on computational structural biology to understand the interaction of proteins that
               are associated with diseases. One of the focuses of her lab is to understand the interaction of proteins
               with membranes. To this end, role of proteins that play essential role in autophagy, like LC3, was
               studied.

               Autophagy  can  be  closely  monitored  through  studying  LC3  interaction  on  autophagosomal
               membranes. However, the present understanding of LC3 structure and dynamics is based on cytosolic
               (non-lipidated)  protein.  The  dynamics  of  lipidated-Atg8  orthologs  inserted  in  the  membrane  was
               investigated. In silico phosphatidylethanolamine (PE) chain was parameterized in atomistic manner
               and  combined  LC3-PE  with  heterogenous  ER  composition  membranes.  The  rationale  behind  this
               approach  was  to  introduce  multiple  lipids  that  aid  in  autophagosome  formation,  in  particular  -
               different charged interactions present in heterogenous lipid headgroups. Interestingly, LC3 molecules
               form puncta that can be observed using fluorescence microscopy. The open question is how do LC3
               proteins oligomerize. To address this, systems with multiple LC3s (>90) on a large ER membrane were
               prepared.  This  essentially  mimic  the  crowded  environment  of  autophagosome  wherein  LC3
               arrangement  in  oligomeric  fashion  on  physiologically  relevant  membranes  has  been  observed.
               Spontaneous  and  stable  formation  of  dimers  was  observed,  and  time-dependent  investigation  of
               simulations showed that  the protein has high tendency to oligomerize in higher order structures.
               Analysis of interaction surface revealed novel interaction surface that may be critical for LC3. The same
               was performed for all isoforms. At end, reliable structural models were built that mimic physiologically
               relevant LC3 structures on simplistic membranes.

               Another protein that plays an essential role in interaction with membranes and involved in cell-cell
               communication is Notch. Notch is an evolutionarily conserved signaling pathway, which regulates cell
               fate  determination  during  embryogenesis  and  cellular  homeostasis  in  adults  via  cell-to-cell
               communication. This pathway derives its name from the receptor protein ‘Notch' located at the cell
               membrane. Notch is a single pass transmembrane protein which interacts with its transmembrane
               ligands, such as Delta-like protein (DLL) and Jagged (JAG) present on the neighbouring cells. Ligand
               binding leads to proteolytic cleavages resulting in the release of the Notch intracellular domain (NICD)
               into the nucleus, where it regulates the transcriptional complex to activate Notch target genes. Apart
               from DLL and JAG, Notch has various binding partners that are known to work in a highly-context
               dependent manner. Any impairment in Notch signaling pathway is known to cause various types of
               diseases like cancer and rare genetic autosomal disorders like Alagille Syndrome, CADASIL (Cerebral
               autosomal dominant arteriopathy with sub-cortical infarcts and leukoencephalopathy), Adams-Oliver
               Syndrome, etc.

               An integrative assembly of Notch extra-cellular domain (NECD) was performed. The NECD is composed
               of 1,752 amino acids and the structure for 10 out of 36 EGF-like repeats (EGF4-9 and EGF10-13) has
               been resolved. In order to complete the N1 extracellular domain, a hybrid approach was followed that
               included the modelling of EGF-like repeats based on the experimental input parameters and patching
               them to the NRR with the TM. Since the interface between EGF9-10 has been suggested to be flexible,
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