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9 results for “integrative transcriptome analysis”
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Evaluation of novel computational methods to identify RNA-binding protein footprints from structural data.
RNA (New York, N.Y.) · 2025 · 31(8): 1103-1124
RNA-binding proteins (RBP) play diverse roles in mRNA processing and function. However, from thousands of RBPs encoded in the human genome, a detailed molecular understanding of their interactions with RNA is available only for a small fraction. In most cases, …
PMID 40399037 DOI ↗
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Integrated multi-omic characterizations of the synapse reveal RNA processing factors and ubiquitin ligases associated with neurodevelopmental disorders.
Cell systems · 2025 · 16(4): 101204
The molecular composition of the excitatory synapse is incompletely defined due to its dynamic nature across developmental stages and neuronal populations. To address this gap, we apply proteomic mass spectrometry to characterize the synapse in multiple biological models, including the …
PMID 40054464 DOI ↗
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Stratification of enterochromaffin cells by single-cell expression analysis.
eLife · 2025 · 12
Dynamic interactions between gut mucosal cells and the external environment are essential to maintain gut homeostasis. Enterochromaffin (EC) cells transduce both chemical and mechanical signals and produce 5-hydroxytryptamine to mediate disparate physiological responses. However, the molecular and cellular basis for …
PMID 40184163 DOI ↗
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Stratification of enterochromaffin cells by single-cell expression analysis.
bioRxiv : the preprint server for biology · 2025
Dynamic interactions between gut mucosal cells and the external environment are essential to maintain gut homeostasis. Enterochromaffin (EC) cells transduce both chemical and mechanical signals and produce 5-hydroxytryptamine (5-HT) to mediate disparate physiological responses. However, the molecular and cellular basis …
PMID 37662229 DOI ↗
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Bento: a toolkit for subcellular analysis of spatial transcriptomics data.
Genome biology · 2024 · 25(1): 82
The spatial organization of molecules in a cell is essential for their functions. While current methods focus on discerning tissue architecture, cell-cell interactions, and spatial expression patterns, they are limited to the multicellular scale. We present Bento, a Python toolkit …
PMID 38566187 DOI ↗
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Zmat3 Is a Key Splicing Regulator in the p53 Tumor Suppression Program.
Molecular cell · 2020 · 80(3): 452-469.e9
Although TP53 is the most commonly mutated gene in human cancers, the p53-dependent transcriptional programs mediating tumor suppression remain incompletely understood. Here, to uncover critical components downstream of p53 in tumor suppression, we perform unbiased RNAi and CRISPR-Cas9-based genetic screens …
PMID 33157015 DOI ↗
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Principles of RNA processing from analysis of enhanced CLIP maps for 150 RNA binding proteins.
Genome biology · 2020 · 21(1): 90
A critical step in uncovering rules of RNA processing is to study the in vivo regulatory networks of RNA binding proteins (RBPs). Crosslinking and immunoprecipitation (CLIP) methods enable mapping RBP targets transcriptome-wide, but methodological differences present challenges to large-scale analysis …
PMID 32252787 DOI ↗
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Experimental and Computational Considerations in the Study of RNA-Binding Protein-RNA Interactions.
Advances in experimental medicine and biology · 2016 · 907: 1-28
After an RNA is transcribed, it undergoes a variety of processing steps that can change the encoded protein sequence (through alternative splicing and RNA editing), regulate the stability of the RNA, and control subcellular localization, timing, and rate of translation. …
PMID 27256380 DOI ↗
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Robust transcriptome-wide discovery of RNA-binding protein binding sites with enhanced CLIP (eCLIP).
Nature methods · 2016 · 13(6): 508-14
As RNA-binding proteins (RBPs) play essential roles in cellular physiology by interacting with target RNA molecules, binding site identification by UV crosslinking and immunoprecipitation (CLIP) of ribonucleoprotein complexes is critical to understanding RBP function. However, current CLIP protocols are technically …
PMID 27018577 DOI ↗
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