Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Nan Papili Gao"'
Autor:
Georgios Tseropoulos, Pihu Mehrotra, Ashis Kumer Podder, Emma Wilson, Yali Zhang, Jianmin Wang, Alison Koontz, Nan Papili Gao, Rudiyanto Gunawan, Song Liu, Laura M. Feltri, Marianne E. Bronner, Stelios T. Andreadis
Publikováno v:
Advanced Science, Vol 11, Iss 33, Pp n/a-n/a (2024)
Abstract Neural Crest cells (NC) are a multipotent cell population that give rise to a multitude of cell types including Schwann cells (SC) in the peripheral nervous system (PNS). Immature SC interact with neuronal axons via the neuregulin 1 (NRG1) l
Externí odkaz:
https://doaj.org/article/42ef817889b942149013f1f69c71619c
Publikováno v:
F1000Research, Vol 12 (2023)
Background: Single-cell studies have demonstrated the presence of significant cell-to-cell heterogeneity in gene expression. Whether such heterogeneity is only a bystander or has a functional role in the cell differentiation process is still hotly de
Externí odkaz:
https://doaj.org/article/502a6245c2fb4bffb5ab35093c4a27c8
Autor:
Romuald Parmentier, Laëtitia Racine, Alice Moussy, Sophie Chantalat, Ravi Sudharshan, Nan Papili Gao, Daniel Stockholm, Guillaume Corre, Geneviève Fourel, Jean-François Deleuze, Rudiyanto Gunawan, Andras Paldi
Publikováno v:
PLoS Biology, Vol 20, Iss 10, p e3001849 (2022)
When human cord blood-derived CD34+ cells are induced to differentiate, they undergo rapid and dynamic morphological and molecular transformations that are critical for fate commitment. In particular, the cells pass through a transitory phase known a
Externí odkaz:
https://doaj.org/article/1bf12cb102034345ac6078e5b899788a
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
We present Clustering and Lineage Inference in Single-Cell Transcriptional Analysis (CALISTA), a numerically efficient and highly scalable toolbox for an end-to-end analysis of single-cell transcriptomic profiles. CALISTA includes four essential sing
Externí odkaz:
https://doaj.org/article/9e6a73c0dc074040808113b4e51414d2
Autor:
Angélique Richard, Loïs Boullu, Ulysse Herbach, Arnaud Bonnafoux, Valérie Morin, Elodie Vallin, Anissa Guillemin, Nan Papili Gao, Rudiyanto Gunawan, Jérémie Cosette, Ophélie Arnaud, Jean-Jacques Kupiec, Thibault Espinasse, Sandrine Gonin-Giraud, Olivier Gandrillon
Publikováno v:
PLoS Biology, Vol 14, Iss 12, p e1002585 (2016)
In some recent studies, a view emerged that stochastic dynamics governing the switching of cells from one differentiation state to another could be characterized by a peak in gene expression variability at the point of fate commitment. We have tested
Externí odkaz:
https://doaj.org/article/8f65cf0970984834976de58c5e0778bc
Publikováno v:
F1000Research
F1000Research, 2023, 12, pp.426. ⟨10.12688/f1000research.131861.1⟩
F1000Research, 2023, 12, pp.426. ⟨10.12688/f1000research.131861.1⟩
Background: Single-cell studies have demonstrated the presence of significant cell-to-cell heterogeneity in gene expression. Whether such heterogeneity is only a bystander or has a functional role in the cell differentiation process is still hotly de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23c5f872a98470c64fdadaf3de4ec796
https://hal.science/hal-04082461
https://hal.science/hal-04082461
We employed our previously-described single-cell gene expression analysis CALISTA (Clustering And Lineage Inference in Single-Cell Transcriptional Analysis) to evaluate transcriptional uncertainty at the single-cell level using a stochastic mechanist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffb10049d8fe027111cea1a3a15fd746
https://hal.inria.fr/hal-03132652
https://hal.inria.fr/hal-03132652
Autor:
Jovan, Tanevski, Thin, Nguyen, Buu, Truong, Nikos, Karaiskos, Mehmet Eren Ahsen, Xinyu, Zhang, Chang, Shu, Ke, Xu, Xiaoyu, Liang, Ying, Hu, Hoang VV Pham, Xiaomei, Li, Thuc, D Le, Adi, L Tarca, Gaurav, Bhatti, Roberto, Romero, Nestoras, Karathanasis, Phillipe, Loher, Yang, Chen, Zhengqing, Ouyang, Disheng, Mao, Yuping, Zhang, Maryam, Zand, Jianhua, Ruan, Christoph, Hafemeister, Peng, Qiu, Duc, Tran, Tin, Nguyen, Attila, Gabor, Thomas, Yu, Justin, Guinney, Enrico, Glaab, Roland, Krause, Peter, Banda, DREAM SCTC Consortium, Baruzzo, Giacomo, Cappellato, Marco, Zorzan, Irene, DEL FAVERO, Simone, Schenato, Luca, Vandin, Fabio, DI CAMILLO, Barbara, Shruti, Gupta, Ajay Kumar Verma, Shandar, Ahmad, Ronesh, Sharma, Edwin, Vans, Alok, Sharma, Ashwini, Patil, Alejandra, Carrea, Alonso, Andres M., Luis, Diambra, Vijay, Narsapuram, Vinay, Kaikala, Chaitanyam, Potnuru, Sunil, Kumar, Jiajie, Peng, Xiaoyu, Wang, Xuequn, Shang, Dani, Livne, Tom, Snir, Hagit, Philip, Alona, Zilberberg, Sol, Efroni, Hamid Reza Hassanzadeh, Reihaneh, Hassanzadeh, Ghazal, Jahanshahi, M-Mahdi, Naddaf-Sh, Drayer, Phillip M., Sadra, Naddaf-Sh, Marouen Ben Guebila, Changlin, Wan, Yuchen, Cao, Saber, Meamardoost, Nan Papili Gao, Rudiyanto, Gunawan, Gustavo, Stolovitzky, Nikolaus, Rajewsky, Julio, Saez-Rodriguez, Pablo, Meyer
Publikováno v:
Life Science Alliance
We describe and provide an array of diverse methods to predict cellular positions in tissue from RNA-seq data selecting mapping genes according to their spatial/statistical properties and their effect on improving the cell positioning.
Single-ce
Single-ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24f19c28fbdbe4c77371a58fd92e3a3b
http://edoc.mdc-berlin.de/19409/1/19409oa.pdf
http://edoc.mdc-berlin.de/19409/1/19409oa.pdf
Publikováno v:
Bioinformatics
Bioinformatics, Oxford University Press (OUP), 2018, 34 (2), pp.258-266. ⟨10.1093/bioinformatics/btx575⟩
Bioinformatics, 34 (2)
Bioinformatics, Oxford University Press (OUP), 2018, 34 (2), pp.258-266. ⟨10.1093/bioinformatics/btx575⟩
Bioinformatics, 34 (2)
Motivation Single cell transcriptional profiling opens up a new avenue in studying the functional role of cell-to-cell variability in physiological processes. The analysis of single cell expression profiles creates new challenges due to the distribut
Autor:
Guillaume Corre, Rudiyanto Gunawan, Alice Moussy, Saliha Majdoul, Andras Paldi, Nan Papili Gao, David Fenard, Valentina Poletti, Daniel Stockholm
Publikováno v:
Human Gene Therapy
Human Gene Therapy, Mary Ann Liebert, 2019, ⟨10.1089/hum.2019.009⟩
Human Gene Therapy, 2019, ⟨10.1089/hum.2019.009⟩
Human Gene Therapy, Mary Ann Liebert, 2019, ⟨10.1089/hum.2019.009⟩
Human Gene Therapy, 2019, ⟨10.1089/hum.2019.009⟩
The initial stages following the in vitro cytokine stimulation of human cord blood CD34+ cells overlap with the period when lentiviral gene transfer is typically performed. Single-cell transcriptional profiling and time-lapse microscopy were used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8883787fdf1aa66861cd61ea1ceb1682
https://hal-univ-evry.archives-ouvertes.fr/hal-02178315
https://hal-univ-evry.archives-ouvertes.fr/hal-02178315