Results 81 to 90 of about 2,323,002 (379)

Insights into the renal pathophysiology in Hermansky‐Pudlak syndrome‐1 from urinary extracellular vesicle proteomics and a new mouse model

open access: yesFEBS Letters, EarlyView.
Hermansky‐Pudlak syndrome type 1 (HPS‐1) is a rare, autosomal recessive disorder with poorly understood renal involvement. Urinary extracellular vesicle (uEV) proteomics and a novel Hps1 mouse model reveal mitochondrial abnormalities and lipid accumulation in HPS‐1 kidney proximal tubule cells. Serum ApoA1 correlates with kidney function in our patient
Dawn M. Maynard   +7 more
wiley   +1 more source

Transcription factors - Methods and protocols

open access: yesEuropean Journal of Histochemistry, 2011
A hearty wellcome to prof. Higgins editorial toil: a necessary tool for those colleagues (young and older) fighting each day with the transcription factor they are involved with.
CarloAlberto Redi
doaj   +1 more source

Transcription factors in megakaryocytes and platelets

open access: yesFrontiers in Immunology, 2023
Transcription factors bind promoter or regulatory sequences of a gene to regulate its rate of transcription. However, they are also detected in anucleated platelets.
Hengjie Yuan   +7 more
doaj   +1 more source

Genome-wide discovery of modulators of transcriptional interactions in human B lymphocytes [PDF]

open access: yesRECOMB'06 Proceedings, LNCS 3909, Springer, 2006, 2005
Transcriptional interactions in a cell are modulated by a variety of mechanisms that prevent their representation as pure pairwise interactions between a transcription factor and its target(s). These include, among others, transcription factor activation by phosphorylation and acetylation, formation of active complexes with one or more co-factors, and ...
arxiv   +1 more source

Dynamic multifactor hubs interact transiently with sites of active transcription in Drosophila embryos. [PDF]

open access: yes, 2018
The regulation of transcription requires the coordination of numerous activities on DNA, yet how transcription factors mediate these activities remains poorly understood.
Darzacq, Xavier   +6 more
core   +1 more source

Most transcription factor binding sites are in a few mosaic classes of the human genome [PDF]

open access: yes, 2010
Background: Many algorithms for finding transcription factor binding sites have concentrated on the characterisation of the binding site itself: and these algorithms lead to a large number of false positive sites. The DNA sequence which does not bind has
Evans, Kenneth J.
core   +3 more sources

Cytosolic‐enhanced dark Epac‐based FRET sensors allow for intracellular cAMP detection in live cells via FLIM

open access: yesFEBS Letters, EarlyView.
We describe a novel set of Epac‐based FRET‐FLIM biosensors with improved fully cytosolic distribution, achieved without compromising the state‐of‐the‐art performance of our original designs, for detecting cAMP dynamics in real time in live cells with high precision and reliability.
Giulia Zanetti   +2 more
wiley   +1 more source

Patterns of subnet usage reveal distinct scales of regulation in the transcriptional regulatory network of Escherichia coli [PDF]

open access: yes, 2010
The set of regulatory interactions between genes, mediated by transcription factors, forms a species' transcriptional regulatory network (TRN). By comparing this network with measured gene expression data one can identify functional properties of the TRN and gain general insight into transcriptional control.
arxiv   +1 more source

The lower bound on the precision of transcriptional regulation [PDF]

open access: yesPhys. Rev. E 90 (2014) 032708, 2014
The diffusive arrival of transcription factors at the promoter sites on the DNA sets a lower bound on how accurately a cell can regulate its protein levels. Using results from the literature on diffusion-influenced reactions, we derive an analytical expression for the lower bound on the precision of transcriptional regulation.
arxiv   +1 more source

Walking, hopping and jumping: a model of transcription factor dynamics on DNA [PDF]

open access: yes, 2011
We present a model of how transcription factors scan DNA to find their specific binding sites. Following the classical work of Winter et al. (1981), our model assumes two modes of transcription factor dynamics.
Barnes, David J., Chu, Dominique
core  

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