Thomas Henry Huxley's developmental view of the cell.

Nat Rev Mol Cell Biol

Interdisciplinary Studies Program, Wayne State University, Detroit, Michigan 48202 USA.

Published: January 2002

In 1853, the British physiologist Thomas Henry Huxley roundly criticized German cell theory. Historians have had difficulty explaining how such a 'progressive' biologist could have rejected cellular autonomy and the central role of the nucleus in cell life. The key to Huxley's thinking is provided by understanding his 'epigenetic' philosophy of biology.

Download full-text PDF

Source
http://dx.doi.org/10.1038/nrm701DOI Listing

Publication Analysis

Top Keywords

thomas henry
8
henry huxley's
4
huxley's developmental
4
developmental view
4
view cell
4
cell 1853
4
1853 british
4
british physiologist
4
physiologist thomas
4
henry huxley
4

Similar Publications

Enhancer cooperativity can compensate for loss of activity over large genomic distances.

Mol Cell

January 2025

Max Perutz Laboratories, Vienna BioCenter Campus (VBC), Dr.-Bohr-Gasse 9, 1030 Vienna, Austria; University of Vienna, Center for Molecular Biology, Department of Microbiology, Immunobiology, and Genetics, Dr.-Bohr-Gasse 9, 1030 Vienna, Austria. Electronic address:

Enhancers are short DNA sequences that activate their target promoter from a distance; however, increasing the genomic distance between the enhancer and the promoter decreases expression levels. Many genes are controlled by combinations of multiple enhancers, yet the interaction and cooperation of individual enhancer elements are not well understood. Here, we developed a synthetic platform in mouse embryonic stem cells that allows building complex regulatory landscapes from the bottom up.

View Article and Find Full Text PDF

Background: While high-frequency oscillations (HFOs) and their stereotyped clusters (sHFOs) have emerged as potential neuro-biomarkers for the rapid localization of the seizure onset zone (SOZ) in epilepsy, their clinical application is hindered by the challenge of automated elimination of pseudo-HFOs originating from artifacts in heavily corrupted intraoperative neural recordings. This limitation has led to a reliance on semi-automated detectors, coupled with manual visual artifact rejection, impeding the translation of findings into clinical practice.

Methods: In response, we have developed a computational framework that integrates sparse signal processing and ensemble learning to automatically detect genuine HFOs of intracranial EEG data.

View Article and Find Full Text PDF

The rise of colistin-resistant Acinetobacter baumannii has severely limited treatment options for infections caused by this pathogen. While terpene alcohols and fatty acids have shown potential to enhance colistin's efficacy, but their high lipophilicity limits their clinical application. To address this, we developed water-dispersible lipid nanoparticles (LNPs) in two sizes (40 nm and 130 nm), loaded with these compounds to act as colistin adjuvants.

View Article and Find Full Text PDF
Article Synopsis
  • Tuberculosis (TB) affects people differently, and regular lab mice don't show this variety in their responses to the disease.
  • Researchers studied 19 types of wild mice from different places to see how well they fought off TB, finding that certain immune cells help control the infection better.
  • They discovered a unique group of neutrophils in some mice that didn't fight TB effectively, even though most mice with lots of neutrophils had trouble with the infection.
View Article and Find Full Text PDF

To evaluate the inter- and intra-rater reliability for the identification of bad channels among neurologists, EEG Technologists, and naïve research personnel, and to compare their performance with the automated bad channel detection (ABCD) algorithm for detecting bad channels.Six Neurologists, ten EEG Technologists, and six naïve research personnel (22 raters in total) were asked to rate 1440 real intracranial EEG channels as good or bad. Intra- and interrater kappa statistics were calculated for each group.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!