Deepak Kala

Dr. Deepak Kala

Chandigarh University, Mohali, India
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

View All Publications
18 August 2020 in 3 Biotech
Verified
Journal Article
Closed access
PDF file
DKDeepak Kala
Deepak Kala
SGShagun Gupta
Shagun Gupta
RNRupak Nagraik
Rupak Nagraik
VVVivek Verma
Vivek Verma
ATAtul Thakur
Atul Thakur
AKAnkur Kaushal
Ankur Kaushal

26 July 2017 in Scientific Reports
Verified
Journal Article
Open access
PDF file
TDTikam Chand Dakal
Tikam Chand Dakal
DKDeepak Kala
Deepak Kala
GDGourav Dhiman
Gourav Dhiman
VYVinod Yadav
Vinod Yadav
AKAndrey Krokhotin
Andrey Krokhotin
NDNikolay V Dokholyan
Nikolay V Dokholyan
Here we report anin-silicoapproach for identification, characterization and validation of deleterious non-synonymous SNPs (nsSNPs) in the interleukin-8 gene using three steps. In first step, sequence homology-based genetic analysis of a set of 50 coding SNPs associated with 41 rsIDs using SIFT (Sorting Intolerant from Tolerant) and PROVEAN (Protein Variation Effect Analyzer) identified 23 nsSNPs to be putatively damaging/deleterious in at least one of the two tools used. Subsequently, structure-homology based PolyPhen-2 (Polymorphism Phenotyping) analysis predicted 9 of 23 nsSNPs (K4T, E31A, E31K, S41Y, I55N, P59L, P59S, L70P and V88D) to be damaging. According to the conditional hypothesis for the study, only nsSNPs that score damaging/deleterious prediction in both sequence and structural homology-based approach will be considered as ‘high-confidence’ nsSNPs. In step 2, based on conservation of amino acid residues, stability analysis, structural superimposition, RSMD and docking analysis, the possible structural-functional relationship was ascertained for high-confidence nsSNPs. Finally, in a separate analysis (step 3), the IL-8 deregulation has also appeared to be an important prognostic marker for detection of patients with gastric and lung cancer. This study, for the first time, provided in-depth insights on the effects of amino acid substitutions on IL-8 protein structure, function and disease association.

9 May 2024 in Environmental Chemistry Letters
Verified
Journal Article
Closed access
PDF file
HKHarsh Kumar
Harsh Kumar
RDRajni Dhalaria
Rajni Dhalaria
SGShivani Guleria
Shivani Guleria
RCRichard Cimler
Richard Cimler
PPPrerna Prerna
Prerna Prerna
Kamil KucaKamil Kuca
Kamil Kuca

25 June 2021 in Sensors
Verified
Journal Article
Open access
PDF file
DKDeepak Kala
Deepak Kala
TSTARUN SHARMA
TARUN SHARMA
SGShagun Gupta
Shagun Gupta
VVVivek Verma
Vivek Verma
ATAtul Thakur
Atul Thakur
STSergei Trukhanov
Sergei Trukhanov
The unique structural and electrochemical properties of graphene oxide (GO) make it an ideal material for the fabrication of biosensing devices. Therefore, in the present study, graphene oxide nanoparticles modified paper electrodes were used as a low-cost matrix for the development of an amperometric DNA sensor. The graphene oxide was synthesized using the modified hummers method and drop cast on a screen-printed paper electrode (SPPE) to enhance its electrochemical properties. Further, the GO/SPPE electrode was modified with a 5′NH2 labeled ssDNA probe specific to the htrA gene of Orientia tsutsugamushi using carbodiimide cross-linking chemistry. The synthesized GO was characterized using UV-Vis, FTIR, and XRD. The layer-by-layer modification of the paper electrode was monitored via FE-SEM, cyclic voltammetry, and electrochemical impedance spectroscopy (EIS). The sensor response after hybridization with single-stranded genomic DNA (ssGDNA) of O. tsutsugamushi was recorded using differential pulse voltammetry (DPV). Methylene blue (1 mM in PBS buffer, pH 7.2) was used as a hybridization indicator and [Fe(CN)6]−3/−4 (2.5 mM in PBS buffer, pH 7.2) as a redox probe during electrochemical measurements. The developed DNA sensor shows excellent sensitivity (1228.4 µA/cm2/ng) and LOD (20 pg/µL) for detection of O. tsutsugamushi GDNA using differential pulse voltammetry (DPV).

13 December 2022 in Vaccines
Verified
Journal Article
Open access
PDF file
AKAnkur Kaushal
Ankur Kaushal
NKNarinder Kaur
Narinder Kaur
SSSurbhi Sharma
Surbhi Sharma
ASAnil Kumar Sharma
Anil Kumar Sharma
DKDeepak Kala
Deepak Kala
SGShagun Gupta
Shagun Gupta
Early and effective diagnosis of cancer is decisive for its proper management. In this context biomarker-based cancer diagnosis is budding as one of the promising ways for early detection, disease progression monitoring, and effective cancer therapy. Integration of Biosensing devices with different metallic/nonmetallic nanoparticles offers amplification and multiplexing capabilities for simultaneous detection of cancer biomarkers (CB’s). This study provides a comprehensive analysis of the most recent designs and fabrication methodologies designed for developing electrochemical biosensors (EB) for early detection of cancers. The role of biomarkers in cancer therapeutics is also discussed.

6 April 2021 in Sensors
Verified
Journal Article
Open access
PDF file
VVVivek Verma
Vivek Verma
DKDeepak Kala
Deepak Kala
SGShagun Gupta
Shagun Gupta
HKHarsh Kumar
Harsh Kumar
AKAnkur Kaushal
Ankur Kaushal
DKDinesh Kumar
Dinesh Kumar
Leptospirosis is an underestimated tropical disease caused by the pathogenic Leptospira species and responsible for several serious health problems. Here, we aimed to develop an ultrasensitive DNA biosensor for the rapid and on-site detection of the Loa22 gene of Leptospira interrogans using a gold nanoparticle–carbon nanofiber composite (AuN/CNF)-based screen-printed electrode. Cyclic voltammetry and electrochemical impedance were performed for electrochemical analysis. The sensitivity of the sensor was 5431.74 μA/cm2/ng with a LOD (detection limit) of 0.0077 ng/μL using cyclic voltammetry. The developed DNA biosensor was found highly specific to the Loa22 gene of L. interrogans, with a storage stability at 4 °C for 180 days and a 6% loss of the initial response. This DNA-based sensor only takes 30 min for rapid detection of the pathogen, with a higher specificity and sensitivity. The promising results obtained suggest the application of the developed sensor as a point of care device for the diagnosis of leptospirosis.