ACHINTA SANNIGRAHI

Dr. ACHINTA SANNIGRAHI

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Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 April 2021 in eLife
Verified
Journal Article
Open access
ASACHINTA SANNIGRAHI
ACHINTA SANNIGRAHI
SCSourav Chowdhury
Sourav Chowdhury
BDBidisha Das
Bidisha Das
ABAmrita Banerjee
Amrita Banerjee
AHAnimesh Halder
Animesh Halder
KCKrishnananda Chattopadhyay
Krishnananda Chattopadhyay
Aggregation of Cu–Zn superoxide dismutase (SOD1) is implicated in the motor neuron disease, amyotrophic lateral sclerosis (ALS). Although more than 140 disease mutations of SOD1 are available, their stability or aggregation behaviors in membrane environment are not correlated with disease pathophysiology. Here, we use multiple mutational variants of SOD1 to show that the absence of Zn, and not Cu, significantly impacts membrane attachment of SOD1 through two loop regions facilitating aggregation driven by lipid-induced conformational changes. These loop regions influence both the primary (through Cu intake) and the gain of function (through aggregation) of SOD1 presumably through a shared conformational landscape. Combining experimental and theoretical frameworks using representative ALS disease mutants, we develop a ‘co-factor derived membrane association model’ wherein mutational stress closer to the Zn (but not to the Cu) pocket is responsible for membrane association-mediated toxic aggregation and survival time scale after ALS diagnosis.

26 June 2019 in ACS Chemical Biology
Verified
Journal Article
Closed access
ASACHINTA SANNIGRAHI
ACHINTA SANNIGRAHI
INIndrani Nandi
Indrani Nandi
SCSayantani Chall
Sayantani Chall
JJJunaid Jibran Jawed
Junaid Jibran Jawed
AHAnimesh Halder
Animesh Halder
KCKrishnananda Chattopadhyay
Krishnananda Chattopadhyay

5 February 2021 in RSC Chemical Biology
Verified
Journal Article
Open access
PDF file
ABArnab Bandyopadhyay
Arnab Bandyopadhyay
ASACHINTA SANNIGRAHI
ACHINTA SANNIGRAHI
KCKrishnananda Chattopadhyay
Krishnananda Chattopadhyay
This study provides a mechanistic description of how the membrane composition and lipid to protein ratio modulate amyloid kinetics of yeast prion protein.

27 March 2023 in Journal of Biological Chemistry
Verified
Journal Article
Open access
ATAnuj Tiwari
Anuj Tiwari
SPSweta Pradhan
Sweta Pradhan
ASACHINTA SANNIGRAHI
ACHINTA SANNIGRAHI
AMAmaresh Kumar Mahakud
Amaresh Kumar Mahakud
SJSuman Jha
Suman Jha
MSMohammed Saleem
Mohammed Saleem
Accumulating evidence suggests that amyloid plaque-associated myelin lipid loss as a result of elevated amyloid burden might also contribute to Alzheimer’s disease. The amyloid fibrils are closely associated with lipids under physiological conditions; however, the progression of membrane remodeling events leading to lipid–fibril assembly remains unknown. Here we first reconstitute the interaction of amyloid Beta 40 (Aβ-40) with myelin-like model membrane and show that the binding of Aβ-40 induces extensive tubulation. To look into the mechanism of membrane tubulation, we chose a set of membrane conditions varying in lipid packing density and net charge that allows us to dissect the contribution of lipid specificity of Aβ-40 binding, aggregation kinetics, and subsequent changes in membrane parameters such as fluidity, diffusion, and compressibility modulus. We show that the binding of Aβ-40 depends predominantly on the lipid packing defect densities and electrostatic interactions and results in rigidification of the myelin-like model membrane during the early phase of amyloid aggregation. Furthermore, elongation of Aβ-40 into higher oligomeric and fibrillar species leads to eventual fluidization of the model membrane followed by extensive lipid membrane tubulation observed in the late phase. Taken together, our results capture mechanistic insights into snapshots of temporal dynamics of Aβ-40–myelin-like model membrane interaction and demonstrate how short timescale, local phenomena of binding, and fibril-mediated load generation results in the consequent association of lipids with growing amyloid fibrils.

14 June 2025 in Cells
Verified
Journal Article
Open access
PDF file
MMMd Sorique Aziz Momin
Md Sorique Aziz Momin
JBJhuma Bhadra
Jhuma Bhadra
DBDebmalya Bhunia
Debmalya Bhunia
ASACHINTA SANNIGRAHI
ACHINTA SANNIGRAHI
NDNayan De
Nayan De
Cellular memory is the competence of cells to preserve information from past experiences and respond aptly. This memory is maintained and controlled by gene regulatory networks (GRNs). GRNs are crucial for understanding why some cells are resistant to treatment, particularly for cancer. In our study, we created a new mathematical model to understand how “noise” affects cellular memory in GRNs, focusing on a “double positive feedback loop”. Our theoretical perspective article equipped with mathematical modeling exhibits how noise and feedback loops interact in GRNs. It also proposes a potential theoretical avenue for future therapy. By targeting the mechanisms that maintain drug resistance in cells, we aim to develop therapies that can restore the sensitivity of cancer cells to treatment.

25 November 2022 in Membranes
Verified
Journal Article
Open access
PDF file
ASACHINTA SANNIGRAHI
ACHINTA SANNIGRAHI
VRVishwesh Haricharan Rai
Vishwesh Haricharan Rai
MCMuhsin Vannan Chalil
Muhsin Vannan Chalil
DCDebayani Chakraborty
Debayani Chakraborty
SMSubrat Kumar Meher
Subrat Kumar Meher
RRRahul Roy
Rahul Roy
Artificial membrane systems can serve as models to investigate molecular mechanisms of different cellular processes, including transport, pore formation, and viral fusion. However, the current, such as SUVs, GUVs, and the supported lipid bilayers suffer from issues, namely high curvature, heterogeneity, and surface artefacts, respectively. Freestanding membranes provide a facile solution to these issues, but current systems developed by various groups use silicon or aluminum oxide wafers for fabrication that involves access to a dedicated nanolithography facility and high cost while conferring poor membrane stability. Here, we report the development, characterization and applications of an easy-to-fabricate suspended lipid bilayer (SULB) membrane platform leveraging commercial track-etched porous filters (PCTE) with defined microwell size. Our SULB system offers a platform to study the lipid composition-dependent structural and functional properties of membranes with exceptional stability. With dye entrapped in PCTE microwells by SULB, we show that sphingomyelin significantly augments the activity of pore-forming toxin, Cytolysin A (ClyA) and the pore formation induces lipid exchange between the bilayer leaflets. Further, we demonstrate high efficiency and rapid kinetics of membrane fusion by dengue virus in our SULB platform. Our suspended bilayer membrane mimetic offers a novel platform to investigate a large class of biomembrane interactions and processes.