Michael L Simpson
Overview
Explore the profile of Michael L Simpson including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
61
Citations
1261
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Lewis D, Pablo M, Chen X, Simpson M, Weinberger L
medRxiv
. 2024 Jun;
PMID: 38883757
Significance: Challenges with epidemiological forecasting during the COVID-19 pandemic suggested gaps in underlying model architecture. One long-held hypothesis, typically omitted from conventional models due to lack of empirical evidence, is...
2.
Chauhan G, Norred S, Dabbs R, Caveney P, George J, Collier C, et al.
ACS Synth Biol
. 2022 Oct;
11(11):3733-3742.
PMID: 36260840
Cell-free protein synthesis is an important tool for studying gene expression and harnessing it for applications. In cells, gene expression is regulated in part by the spatial organization of transcription...
3.
Chauhan G, Simpson M, Abel S
J Chem Phys
. 2021 Jul;
155(3):034904.
PMID: 34293868
Macromolecular crowding is a feature of cellular and cell-free systems that, through depletion effects, can impact the interactions of semiflexible biopolymers with surfaces. In this work, we use computer simulations...
4.
Chauhan G, Simpson M, Abel S
Soft Matter
. 2020 Nov;
17(1):16-23.
PMID: 33155586
Macromolecular crowding and the presence of surfaces can significantly impact the spatial organization of biopolymers. While the importance of crowding-induced depletion interactions in biology has been recognized, much remains to...
5.
McClintic W, Taylor G, Simpson M, Collier C
J Phys Chem B
. 2020 May;
124(25):5095-5102.
PMID: 32428410
Macromolecular crowding is known to modulate chemical equilibria, reaction rates, and molecular binding events, both in aqueous solutions and at lipid bilayer membranes, natural barriers that enclose the crowded environments...
6.
Hansen M, Desai R, Simpson M, Weinberger L
Cell Syst
. 2018 Sep;
7(4):384-397.e6.
PMID: 30243562
Transcription is an episodic process characterized by probabilistic bursts, but how the transcriptional noise from these bursts is modulated by cellular physiology remains unclear. Using simulations and single-molecule RNA counting,...
7.
Hansen M, Wen W, Ingerman E, Razooky B, Thompson C, Dar R, et al.
Cell
. 2018 May;
173(7):1609-1621.e15.
PMID: 29754821
Diverse biological systems utilize fluctuations ("noise") in gene expression to drive lineage-commitment decisions. However, once a commitment is made, noise becomes detrimental to reliable function, and the mechanisms enabling post-commitment...
8.
Norred S, Caveney P, Chauhan G, Collier L, Collier C, Abel S, et al.
ACS Synth Biol
. 2018 Apr;
7(5):1251-1258.
PMID: 29687993
Recent superresolution microscopy studies in E. coli demonstrate that the cytoplasm has highly variable local concentrations where macromolecular crowding plays a central role in establishing membrane-less compartmentalization. This spatial inhomogeneity...
9.
Nonlatching positive feedback enables robust bimodality by decoupling expression noise from the mean
Razooky B, Cao Y, Hansen M, Perelson A, Simpson M, Weinberger L
PLoS Biol
. 2017 Oct;
15(10):e2000841.
PMID: 29045398
Fundamental to biological decision-making is the ability to generate bimodal expression patterns where 2 alternate expression states simultaneously exist. Here, we use a combination of single-cell analysis and mathematical modeling...
10.
Caveney P, Norred S, Chin C, Boreyko J, Razooky B, Retterer S, et al.
ACS Synth Biol
. 2016 Oct;
6(2):334-343.
PMID: 27690390
Episodic gene expression, with periods of high expression separated by periods of no expression, is a pervasive biological phenomenon. This bursty pattern of expression draws from a finite reservoir of...