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16 results for “tRNA abundance”

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zenodo32/100

Data for: Engineering tRNA abundances for synthetic cellular systems

<p>Data for publication:<strong>&nbsp;Engineering tRNA abundances for synthetic cellular systems</strong></p> <p><strong>Abstract</strong></p> <p>Routinizing&nbsp;the engineering of synthetic cells requires&nbsp;specifying&nbsp;determining&nbsp;beforehand how many of each molecule are needed. First-principles tools for specifying molecular abundances enabling whole-cell synthetic biology are missing. We use a colloidal dynamics simulator to make predictions for how tRNA abundances impact protein synthesis rates. We use rational design and direct RNA synthesis to make 21 synthetic tRNA surrogates from scratch. We use evolutionary algorithms within a computer aided design framework to&nbsp;design&nbsp;engineer&nbsp;translation systems predicted to work faster or slower depending on tRNA abundance differences. We build and test the so-specified synthetic systems and find&nbsp;that&nbsp;qualitative agreement between&nbsp;expected and observed systems&nbsp;performance matchqualitatively match.&nbsp;&nbsp;First-principles modeling combined with bottom-up experiments can help molecular-to-cellular scale synthetic biology realize &ldquo;design, build, work&rdquo; frameworks that transcend tinker-and-test.</p> <p><strong>Data description</strong></p> <p>The data here consists of (1) All&nbsp;Colloidal Smoldyn &amp; CD-CAD simulation input parameter and output files &amp; (2) experimental data used for the associated publication. Simulation data was produced using Colloidal Dynamics modeling and Colloidal Dyamics-CAD (CD-CAD) as described in the associated manuscript. Data folders should be used directly with modeling and analysis code provided on Github: https://github.com/EndyLab/tRNACAD.</p>

opencc-by-4.0May 2023View details →
geo24/100

Dynamic changes in tRNA modifications and abundance during T-cell activation [RNA/Ribo-seq]

GEO Series GSE165536. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing; Other.

openGEO-OpenOct 2021View details →
geo24/100

Small tRNA-derived RNAs are increased and more abundant than microRNAs in chronic hepatitis B and C

GEO Series GSE57381. Homo sapiens. 28 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenDec 2014View details →
geo24/100

Dynamic changes in tRNA modifications and abundance during T-cell activation [tRNA-seq]

GEO Series GSE165537. Mus musculus. 30 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenOct 2021View details →
geo24/100

tRNA abundance, modification and fragmentation as biomarkers for COVID-19 severity

GEO Series GSE208612. Homo sapiens. 66 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenOct 2022View details →
geo24/100

Quantitative real-time PCR analysis of tRNA abundance in the developing mouse neocortex

GEO Series GSE169621. Mus musculus. 10 samples. Type: Expression profiling by RT-PCR.

openGEO-OpenSep 2022View details →
geo24/100

Dynamic changes in tRNA modifications and abundance during T-cell activation [MARS-seq]

GEO Series GSE165535. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2021View details →
geo24/100

Impact of tRNA-Glu(UUC) and tRNA-Arg(CCG) on mRNA abundance

GEO Series GSE77285. Homo sapiens. 6 samples. Type: Expression profiling by array.

openGEO-OpenJun 2016View details →
geo24/100

High-resolution quantitative profiling of tRNA abundance and modification status in eukaryotes by mim-tRNAseq

GEO Series GSE152621. Homo sapiens; Saccharomyces cerevisiae; Schizosaccharomyces pombe; Drosophila melanogaster. 29 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenFeb 2021View details →
geo20/100

Dynamic changes in tRNA modifications and abundance during T-cell activation

GEO Series GSE165622. Mus musculus. 64 samples. Type: Expression profiling by high throughput sequencing; Other; Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenOct 2021View details →
geo20/100

Differential expression of human tRNA genes drives the abundance of tRNA-derived fragments

GEO Series GSE114904. Homo sapiens. 8 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenApr 2019View details →
geo20/100

Comparison of tRNA abundance profiling in primary M395 melanoma cultures SENS or RES to 1µM Vemurafenib

GEO Series GSE236645. Homo sapiens. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenApr 2024View details →
geo16/100

Relative tRNA abundance in Lactococcus lactis as a function of growth rate and overexpression stress

GEO Series GSE55336. Lactococcus lactis. 14 samples. Type: Non-coding RNA profiling by array.

openGEO-OpenFeb 2016View details →
geo16/100

Abundance of tRNA fragments in Tau-RNA complexes from Tau-mutant PS19 (human P301S Tau transgenic) mice hippocampus

GEO Series GSE297027. Mus musculus. 6 samples. Type: Non-coding RNA profiling by array.

openGEO-OpenMay 2025View details →
geo16/100

Dynamic changes in tRNA modifications and abundance during T-cell activation [ncRNA-seq]

GEO Series GSE163053. Mus musculus. 18 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenSep 2021View details →
geo12/100

Comparison of mitochondrial tRNA abundance profiling in wild type and mutant mitochondrial RNA polymerase overexpression flies.

GEO Series GSE164324. Drosophila melanogaster. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2021View details →

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