Results 91 to 100 of about 2,352,277 (290)

Decoding hippocampal subfield and glial responses in ischemia using single-cell transcriptomics

open access: yesJournal of Translational Medicine
Background Stroke affects more than 12 million individuals worldwide annually, leading to lasting physical and cognitive impairments. The peri-infarct environment in the central nervous system, comprising glial and blood vessel cells, contributes to ...
Donghee Kwak   +3 more
doaj   +1 more source

Single Cell Apoptosis Imaging and Gene Expression Analysis

open access: yesProceedings of The 7th International Multidisciplinary Conference on Optofluidics 2017, 2017
Single cell analysis is a powerful tool to unveil cell heterogeneity, which may play a important role in series events in cancer progression, such as tumor initiation, metastasis and clinical chemotherapy resistance. To profile subtle biological variations at individual cell level, methods that allows single cell imaging and corresponding gene ...
openaire   +1 more source

DNMT inhibitors reverse a specific signature of aberrant promoter DNA methylation and associated gene silencing in AML [PDF]

open access: yes, 2014
<b>Background</b>. Myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) are neoplastic disorders of hematopoietic stem cells. DNA methyltransferase inhibitors (DNMTi), 5-azacytidine (AzaC) and 5-aza-2’-deoxycytidine (Decitabine),
Adams, Peter   +8 more
core   +2 more sources

Function‐driven design of a surrogate interleukin‐2 receptor ligand

open access: yesFEBS Letters, EarlyView.
Interleukin (IL)‐2 signaling can be achieved and precisely fine‐tuned through the affinity, distance, and orientation of the heterodimeric receptors with their ligands. We designed a biased IL‐2 surrogate ligand that selectively promotes effector T and natural killer cell activation and differentiation. Interleukin (IL) receptors play a pivotal role in
Ziwei Tang   +9 more
wiley   +1 more source

Multidimensional analysis of Gammaherpesvirus RNA expression reveals unexpected heterogeneity of gene expression.

open access: yesPLoS Pathogens, 2019
Virus-host interactions are frequently studied in bulk cell populations, obscuring cell-to-cell variation. Here we investigate endogenous herpesvirus gene expression at the single-cell level, combining a sensitive and robust fluorescent in situ ...
Lauren M Oko   +9 more
doaj   +1 more source

Discovering Neuronal Cell Types and Their Gene Expression Profiles Using a Spatial Point Process Mixture Model

open access: yes, 2016
Cataloging the neuronal cell types that comprise circuitry of individual brain regions is a major goal of modern neuroscience and the BRAIN initiative.
Anandkumar, Animashree   +8 more
core  

Single-cell analysis of early antiviral gene expression reveals a determinant of stochastic IFNB1 expression [PDF]

open access: yes, 2018
RIG-I-like receptors (RLRs) are cytoplasmic sensors of viral RNA that trigger the signaling cascade that leads to type I interferon (IFN) production. Transcriptional induction of RLRs by IFN is believed to play the role of positive feedback to further ...
Baum, Alina   +9 more
core   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

Isolation of Unknown Genes from Human Bone Marrow by Differental Screening and Single-Pass cDNA Sequences Determination [PDF]

open access: yes, 1994
A cDNA sequencing project was initiated to characterize gene expression in human bone marrow and develop strategies to isolate novel genes. Forty-eight random cDNAs from total human bone marrow were subjected to single-pass DNA sequence analysis to ...
Hood, Leroy   +7 more
core  

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data [PDF]

open access: yes, 2015
Single-cell transcriptomics reveals gene expression heterogeneity but suffers from stochastic dropout and characteristic bimodal expression distributions in which expression is either strongly non-zero or non-detectable.
Deng, Jingyuan   +11 more
core   +3 more sources

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