Single cell transcriptomic analysis reveals cellular diversity of murine esophageal epithelium

Autor: Mohammad Faujul Kabir, Adam L. Karami, Ricardo Cruz-Acuña, Alena Klochkova, Reshu Saxena, Anbin Mu, Mary Grace Murray, Jasmine Cruz, Annie D. Fuller, Margarette H. Clevenger, Kumaraswamy Naidu Chitrala, Yinfei Tan, Kelsey Keith, Jozef Madzo, Hugh Huang, Jaroslav Jelinek, Tatiana Karakasheva, Kathryn E. Hamilton, Amanda B. Muir, Marie-Pier Tétreault, Kelly A. Whelan

Publikováno v: Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)

The level of cellular diversity in the esophageal epithelium has yet to be classified at the single cell level. Here the authors analyze the transcriptome of 44,679 murine esophageal keratinocytes to identify an unexpected level of cellular heterogen

Externí odkaz: https://doaj.org/article/08d60dfa06354f1792c694cb232b3b9d

List of contributors

Autor: Shikha Agnihotry, Piyush Agrawal, Suchitra M. Ajjarapu, Himanshu Avashthi, Animesh Awasthi, Qanita Bani Baker, Abhishek Bhandawat, Ritika Bishnoi, Muktesh Chandra, T. Chatterjee, Kamal Kumar Chaudhary, J. Choubey, J.K. Choudhari, Budhayash Gautam, Kavita Goswami, Aditya Harbola, Imran Hussain, Akanksha Jaiswar, Rahul Singh Jasrotia, Moacyr Comar Junior, Sukhdeep Kaur, Rajesh Kumar Kesharwani, Indrajeet Kumar, Pawan Kumar, Sundip Kumar, Mahesh Manchanda, Ranjeet Maurya, Ankita Mishra, Bhawana Mishra, Pallavi Mishra, Swapnil Mishra, Shikha Mittal, Priyanka Narad, G. Naresh, Ankita Negi, Deepti Negi, Krishna Kumar Ojha, Shubham Pant, Rajesh Kumar Pathak, Pramod Wasudeo Ramteke, Neeru Redhu, Joy Roy, B.P. Sahariah, Neeti Sanan-Mishra, Reshu Saxena, Abhishek Sengupta, Gaurav Sharma, Himanshu Sharma, Parva Kumar Sharma, Vikas Sharma, Vinay Sharma, null Shivam, Jatin Shrinet, Abhimati Shukla, Rohit Shukla, Samvedna Shukla, Amisha Singh, Anamika Singh, Dev Bukhsh Singh, Indra Singh, Pradeep Singh, Pramod Kumar Singh, Rahul Singh, Sakshi Singh, Satendra Singh, Surya Pratap Singh, Tiratha Raj Singh, Vijay Kumar Singh, Deepak Singla, William O. Sote, Gitanjali Tandon, Zoozeal Thakur, Anshul Tiwari, Apoorv Tiwari, Rashmi Tyagi, M.K. Verma, Shivani Verma, Arvind Kumar Yadav, Inderjit Singh Yadav, Manoj Kumar Yadav, Namrata Yadav, Neetu Singh Yadav, Sunita Yadav

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c6ea72710c002f4cf5d896059a21f89b
https://doi.org/10.1016/b978-0-323-89775-4.00031-6

Gene Ontology: application and importance in functional annotation of the genomic data

Autor: Deepak Singla, Reshu Saxena, Ritika Bishnoi

In the era of next-generation sequencing, high-throughput sequencing technologies are being continuously exploited to produce a massive amount of uncharacterized and novel sequencing data. Manual annotation of such data is a complex, time-consuming,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9207f720f10c4c7a240f33540504a0a8
https://doi.org/10.1016/b978-0-323-89775-4.00015-8

Proteomic profiling of SupT1 cells reveal modulation of host proteins by HIV-1 Nef variants.

Autor: Reshu Saxena, Sudipti Gupta, Kavita Singh, Kalyan Mitra, Anil Kumar Tripathi, Raj Kamal Tripathi

Publikováno v: PLoS ONE, Vol 10, Iss 4, p e0122994 (2015)

Nef is an accessory viral protein that promotes HIV-1 replication, facilitating alterations in cellular pathways via multiple protein-protein interactions. The advent of proteomics has expanded the focus on better identification of novel molecular pa

Externí odkaz: https://doaj.org/article/6d3171a8b9cb419fbe959f5fa11fe7e9

HIV-1 Nef and host proteome analysis: Current perspective

Autor: Reshu Saxena, R.P. Tripathi, Umeshkumar Vekariya

Publikováno v: Life Sciences. 219:322-328

Proteome represents the set of proteins being produced by an organism at a given time. Comparative proteomic profiling of a healthy and diseased state is likely to reflect the dynamics of a disease process. Proteomic techniques are widely used to dis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::910df7208668a6ebc9b4c9c959ce8ea2
https://doi.org/10.1016/j.lfs.2019.01.025