scholarly journals A model of stem cell population dynamics: in silico analysis and in vivo validation

2012 ◽  
Vol 125 (1) ◽  
pp. e1-e1 ◽  
Author(s):  
Y. Setty ◽  
D. Dalfo ◽  
D. Z. Korta ◽  
E. J. A. Hubbard ◽  
H. Kugler
Keyword(s):  
Population Dynamics ◽  
Stem Cell ◽  
Cell Population ◽  
In Silico ◽  
In Silico Analysis ◽  
Stem Cell Population ◽  
Cell Population Dynamics ◽  
Silico Analysis ◽  
In Vivo Validation

scholarly journals A model of stem cell population dynamics: in silico analysis and in vivo validation

Development ◽  
2011 ◽  
Vol 139 (1) ◽  
pp. 47-56 ◽  
Author(s):  
Y. Setty ◽  
D. Dalfo ◽  
D. Z. Korta ◽  
E. J. A. Hubbard ◽  
H. Kugler
Keyword(s):  
Population Dynamics ◽  
Stem Cell ◽  
Cell Population ◽  
In Silico ◽  
In Silico Analysis ◽  
Stem Cell Population ◽  
Cell Population Dynamics ◽  
Silico Analysis ◽  
In Vivo Validation

Investigation of indole functionalized pyrazoles and oxadiazoles as anti-inflammatory agents: synthesis, in-vivo, in-vitro and in-silico analysis

2021 ◽  
pp. 105068
Author(s):  
Devendra Kumar ◽  
Ravi Ranjan Kumar ◽  
Shelly Pathania ◽  
Pankaj Kumar Singh ◽  
Sourav Kalra ◽  
...  
Keyword(s):  
In Silico ◽  
In Silico Analysis ◽  
Anti Inflammatory ◽  
Silico Analysis

B553 In Silico Analysis of Global Gene Expression in Myeloma CCL: In Search of Stem Cell Genes

2009 ◽  
Vol 9 ◽  
pp. S148
Author(s):  
HE Johnsen ◽  
T Urup ◽  
AD Hoejfeldt ◽  
KB Fogd ◽  
KS Bergkvist ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stem Cell ◽  
In Silico ◽  
In Silico Analysis ◽  
Global Gene Expression ◽  
Silico Analysis

scholarly journals PIWIL1 Drives Chemoresistance in Multiple Myeloma by Modulating Mitophagy and the Myeloma Stem Cell Population

2022 ◽  
Vol 11 ◽  
Author(s):  
Yajun Wang ◽  
Lan Yao ◽  
Yao Teng ◽  
Hua Yin ◽  
Qiuling Wu
Keyword(s):  
Multiple Myeloma ◽  
Drug Resistance ◽  
Stem Cell ◽  
Cell Population ◽  
Side Population ◽  
Chemotherapeutic Agents ◽  
Stem Cell Population ◽  
Exact Function

As an important member of the Argonaute protein family, PIWI-like protein 1 (PIWIL1) plays a key role in tumor cell viability. However, the exact function of PIWIL1 in multiple myeloma (MM) and the underlying mechanism remain unclear. Here, we revealed that PIWIL1 was highly expressed in myeloma cell lines and newly diagnosed MM patients, and that its expression was notably higher in refractory/relapsed MM patients. PIWIL1 promoted the proliferation of MM cells and conferred resistance to chemotherapeutic agents both in vitro and in vivo. More importantly, PIWIL1 enhanced the formation of autophagosomes, especially mitophagosomes, by disrupting mitochondrial calcium signaling and modulating mitophagy-related canonical PINK1/Parkin pathway protein components. Mitophagy/autophagy inhibitors overcome PIWIL1-induced chemoresistance. In addition, PIWIL1 overexpression increased the proportion of side population (SP) cells and upregulated the expression of the stem cell-associated genes Nanog, OCT4, and SOX2, while its inhibition resulted in opposite effects. Taken together, our findings demonstrated that PIWIL1 induced drug resistance by activating mitophagy and regulating the MM stem cell population. PIWIL1 depletion significantly overcame drug resistance and could be used as a novel therapeutic target for reversing resistance in MM patients.

Reserve stem cell population in intestinal crypts found to be consistently small by analysis of in vivo clonogenic assays with a biomathematical dynamic model

2018 ◽  
Vol 129 (3) ◽  
pp. 595-599 ◽  
Author(s):  
Emanuel Bahn ◽  
Michelle van Heerden ◽  
John Gueulette ◽  
Jacobus P. Slabbert ◽  
William Shaw ◽  
...  
Keyword(s):  
Stem Cell ◽  
Dynamic Model ◽  
Cell Population ◽  
Stem Cell Population ◽  
Clonogenic Assays

In-Silico Analysis to Identify Potential Inhibitors Against the Protein NSP12 of SARS-CoV-2

2021 ◽  
Vol 6 (3) ◽  
pp. 48-60
Author(s):  
Hima Vyshnavi ◽  
Gayathri S. S. ◽  
Shahanas Naisam ◽  
Suvanish Kumar ◽  
Nidhin Sreekumar
Keyword(s):  
In Silico ◽  
Interaction Analysis ◽  
In Silico Analysis ◽  
Drug Efficacy ◽  
Drug Candidate ◽  
In Vivo Analysis ◽  
The Stability ◽  
Potential Inhibitors ◽  
Silico Analysis

In this pandemic condition, a drug candidate which is effective against COVID-19 is very much desired. This study initiates an in silico analysis to screen small molecules such as phytochemicals, drug metabolites, and natural metabolites against Nsp12 (a catalytic unit for RNA transcription and replication). Molecular interaction analysis of 6M71 was carried out against 2,860 ligands using Schrodinger Glide software. After docking analysis, the top 10 molecules (Glide score) were subjected to MD simulation for validating the stability. It resulted in top 10 compounds with high binding affinities with the target molecule NSP 12. Out of these, top 3 compounds including PSID_08_LIG3 (HMDB0133544), PSID_08_LIG4 (HMDB0132898), and PSID_08_LIG9 (HMDB0128199) show better Glide scores, better H-bond interaction, better MMGBSA value and stability on dynamic simulation after analysis of the results. The suggested ligands can be postulated as effective antiviral drugs against COVID-19. Further in vivo analysis is needed for validating the drug efficacy.

An in vivo and in silico analysis of novel variation in TMBIM6 gene affecting cardiopulmonary traits of Indian goats

2020 ◽  
Vol 88 ◽  
pp. 102491
Author(s):  
Lipi Lekha Swain ◽  
Chinmoy Mishra ◽  
Siddhant Sekhar Sahoo ◽  
Gangadhar Nayak ◽  
Sukanta Kumar Pradhan ◽  
...  
Keyword(s):  
In Silico ◽  
In Silico Analysis ◽  
Silico Analysis ◽  
Novel Variation

scholarly journals Predicting In Vivo Responses to Biomaterials via Combined In Vitro and In Silico Analysis

2015 ◽  
Vol 21 (2) ◽  
pp. 148-159 ◽  
Author(s):  
Matthew T. Wolf ◽  
Yoram Vodovotz ◽  
Stephen Tottey ◽  
Bryan N. Brown ◽  
Stephen F. Badylak
Keyword(s):  
In Silico ◽  
In Silico Analysis ◽  
Silico Analysis
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