Evidence map›Paper›PMID 37034650›Full record

ArticlebioRxiv : the preprint server for biology2023

Long-term evolution of proliferating cells using the eVOLVER platform.

Daniel García-Ruano, Akanksha Jain, Zachary J Heins, Brandon G Wong, Ezira Yimer Wolle, Ahmad S Khalil, Damien Coudreuse

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Daniel García-RuanoInstitute of Genetics and Development of Rennes, CNRS UMR 6290 - University of Rennes 1, Rennes, France.
Akanksha JainInstitute of Genetics and Development of Rennes, CNRS UMR 6290 - University of Rennes 1, Rennes, France.
Zachary J HeinsDepartment of Biomedical Engineering and Biological Design Center, Boston University, Boston, USA.
Brandon G WongDepartment of Biomedical Engineering and Biological Design Center, Boston University, Boston, USA.
Ezira Yimer WolleDepartment of Biomedical Engineering and Biological Design Center, Boston University, Boston, USA.
Ahmad S KhalilDepartment of Biomedical Engineering and Biological Design Center, Boston University, Boston, USA.
Damien CoudreuseInstitute of Genetics and Development of Rennes, CNRS UMR 6290 - University of Rennes 1, Rennes, France.

Funding

ePACE: automation platforms for adaptable and scalable continuous evolution of biomolecules with therapeutic potentialR01EB027793 · NIBIB · BROAD INSTITUTE, INC. · PI Ahmad Samir Khalil, DAVID R LIU · 2019 to 2026
$6.1M
Programmable benchtop bioreactors for scalable eco-evolutionary dynamics of the human microbiomeR01AI171100 · NIAID · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KHALIL, AHMAD SAMIR, RAKOFF-NAHOUM, SETH · 2022 to 2025
$4.1M
Synthetic Biology and Biotechnology (SB2) Predoctoral Training ProgramT32GM130546 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHEN, CHRISTOPHER S, KHALIL, AHMAD SAMIR · 2019 to 2023
$1.0M
NIAID NIH HHS R01 AI171100NIBIB NIH HHS R01 EB027793NIGMS NIH HHS T32 GM130546
6 · The paper itself

Abstract

Experimental evolution using fast-growing unicellular organisms is a unique strategy for deciphering the principles and mechanisms underlying evolutionary processes as well as the architecture and wiring of basic biological functions. Over the past decade, this approach has benefited from the development of powerful systems for the continuous control of the growth of independently evolving cultures. While the first devices compatible with multiplexed experimental evolution remained challenging to implement and required constant user intervention, the recently-developed eVOLVER framework represents a fully automated closed-loop system for laboratory evolution assays. However, it remained difficult to maintain and compare parallel evolving cultures in tightly controlled environments over long periods of time using eVOLVER. Furthermore, a number of tools were lacking to cope with the various issues that inevitably occur when conducting such long-term assays. Here we present a significant upgrade of the eVOLVER framework, providing major modifications of the experimental methodology, hardware and software as well as a new standalone protocol. Altogether, these adaptations and improvements make the eVOLVER a versatile and unparalleled setup for long-term experimental evolution.

Identifiers

PMID37034650
PMCPMC10081182

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.