Automated Author ProfileMadkaikar, Manisha
King Edward Memorial Hospital and Seth G.S. Medical College
Madkaikar, Manisha
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.7 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 3. Table S1: Details of the genomic reads mapped, total reads, pangolin lineage and the accession numbers for each of the strains retrieved.
Authors
- Anand, Tanu ;
- Mukherjee, Aparna ;
- Satija, Aanchal ;
- Velamuri, Poonam Sharma ;
- Singh, Kh. Jitenkumar ;
- Das, Madhuchhanda ;
- Josten, Kripa ;
- Yadav, Pragya D. ;
- Sahay, Rima R. ;
- Keche, Archana Y. ;
- Nagarkar, Nitin M. ;
- Gupta, Prashant ;
- Himanshu, D. ;
- Mistry, Sejal N. ;
- Patel, Jimy D. ;
- Rao, Prajwal ;
- Rohatgi, Shalesh ;
- Ghosh, Soumitra ;
- Hazra, Avijit ;
- Kindo, Anupma Jyoti ;
- Annamalai, Radha ;
- Rudramurthy, Shivaprakash M. ;
- Singh, Mini P. ;
- Shameem, Mohammad ;
- Fatima, Nazish ;
- Khambholja, Janakkumar R. ;
- Parikh, Sangita ;
- Madkaikar, Manisha ;
- Pradhan, Vandana D. ;
- Kataria, Sushila ;
- Sharma, Pooja ;
- Panda, Samiran
Additional file 3. Table S1: Details of the genomic reads mapped, total reads, pangolin lineage and the accession numbers for each of the strains retrieved.
Authors
- Anand, Tanu ;
- Mukherjee, Aparna ;
- Satija, Aanchal ;
- Velamuri, Poonam Sharma ;
- Singh, Kh. Jitenkumar ;
- Das, Madhuchhanda ;
- Josten, Kripa ;
- Yadav, Pragya D. ;
- Sahay, Rima R. ;
- Keche, Archana Y. ;
- Nagarkar, Nitin M. ;
- Gupta, Prashant ;
- Himanshu, D. ;
- Mistry, Sejal N. ;
- Patel, Jimy D. ;
- Rao, Prajwal ;
- Rohatgi, Shalesh ;
- Ghosh, Soumitra ;
- Hazra, Avijit ;
- Kindo, Anupma Jyoti ;
- Annamalai, Radha ;
- Rudramurthy, Shivaprakash M. ;
- Singh, Mini P. ;
- Shameem, Mohammad ;
- Fatima, Nazish ;
- Khambholja, Janakkumar R. ;
- Parikh, Sangita ;
- Madkaikar, Manisha ;
- Pradhan, Vandana D. ;
- Kataria, Sushila ;
- Sharma, Pooja ;
- Panda, Samiran
We report asialoglycoprotein receptor (ASGPR)-targeted doxorubicin hydrochloride (Dox) nanoparticles (NPs) for hepatocellular carcinoma (HCC). Polyethylene sebacate (PES)-Gantrez® AN 119 Dox NPs of average size 220 nm with PDI < 0.62 and ∼20% Dox loading were prepared by modified nanoprecipitation. ASGPR ligands, pullulan (Pul), arabinogalactan (AGn), and the combination (Pul-AGn), were anchored by adsorption. Ligand anchoring enabled high liver uptake with a remarkable hepatocyte:nonparenchymal cell ratio of 85:15. Furthermore, Pul-AGn NPs exhibited an additive effect implying incredibly high hepatocyte accumulation. Galactose-mediated competitive inhibition confirmed ASGPR-mediated uptake of ligand-anchored NPs in HepG2 cell lines. Subacute toxicity in rats confirmed the safety of the NP groups. However, histopathological evaluation suggested mild renal toxicity of AGn. Pul NPs revealed sustained reduction in tumor volume in PLC/PRF/5 liver tumor-bearing Nod/Scid mice up to 46 days. Extensive tumor necrosis, reduced collagen content, reduction in the HCC biomarker serum α-fetoprotein (p < 0.05), a mitotic index of 1.135 (day 46), and tumor treated/tumor control (T/C) values of <0.42 signified superior efficacy of Pul NPs. Furthermore, weight gain in the NP groups, and no histopathological alterations indicated that they were well tolerated by the mice. The high efficacy coupled with greater safety portrayed Pul Dox NPs as a promising nanocarrier for improved therapy of HCC.
Authors
- Pranatharthiharan, Sandhya ;
- Patel, Mitesh D. ;
- Malshe, Vinod C. ;
- Pujari, Vaishali ;
- Gorakshakar, Ajit ;
- Madkaikar, Manisha ;
- Ghosh, Kanjaksha ;
- Devarajan, Padma V.
We report asialoglycoprotein receptor (ASGPR)-targeted doxorubicin hydrochloride (Dox) nanoparticles (NPs) for hepatocellular carcinoma (HCC). Polyethylene sebacate (PES)-Gantrez® AN 119 Dox NPs of average size 220 nm with PDI < 0.62 and ∼20% Dox loading were prepared by modified nanoprecipitation. ASGPR ligands, pullulan (Pul), arabinogalactan (AGn), and the combination (Pul-AGn), were anchored by adsorption. Ligand anchoring enabled high liver uptake with a remarkable hepatocyte:nonparenchymal cell ratio of 85:15. Furthermore, Pul-AGn NPs exhibited an additive effect implying incredibly high hepatocyte accumulation. Galactose-mediated competitive inhibition confirmed ASGPR-mediated uptake of ligand-anchored NPs in HepG2 cell lines. Subacute toxicity in rats confirmed the safety of the NP groups. However, histopathological evaluation suggested mild renal toxicity of AGn. Pul NPs revealed sustained reduction in tumor volume in PLC/PRF/5 liver tumor-bearing Nod/Scid mice up to 46 days. Extensive tumor necrosis, reduced collagen content, reduction in the HCC biomarker serum α-fetoprotein (p < 0.05), a mitotic index of 1.135 (day 46), and tumor treated/tumor control (T/C) values of <0.42 signified superior efficacy of Pul NPs. Furthermore, weight gain in the NP groups, and no histopathological alterations indicated that they were well tolerated by the mice. The high efficacy coupled with greater safety portrayed Pul Dox NPs as a promising nanocarrier for improved therapy of HCC.
Authors
- Pranatharthiharan, Sandhya ;
- Patel, Mitesh D. ;
- Malshe, Vinod C. ;
- Pujari, Vaishali ;
- Gorakshakar, Ajit ;
- Madkaikar, Manisha ;
- Ghosh, Kanjaksha ;
- Devarajan, Padma V.