Video Experimental Relacionado

Updated: Feb 16, 2026

Isolation and Transcriptome Analysis of Plant Cell Types

Isolation and Transcriptome Analysis of Plant Cell Types

Published on: April 7, 2023

Protocollo per eseguire studi di associazione su tutto il trascrittoma specifici per tipo di cellula utilizzando il

Yichao Zhou¹, Sarah Sumner², Temidayo Adeluwa¹

¹Committee of Genetic, Genomics, and Systems Biology, University of Chicago, Chicago, IL, USA.

|February 14, 2026

Resumen

Il framework scPrediXcan consente studi di associazione su tutto il trascrittoma (TWAS) specifici per tipo di cellula utilizzando il deep learning. Questo approccio integra la previsione dell'espressione genica dai dati di sequenza e epigenetici per un

Área de la Ciencia:

Genomica
Bioinformatica
Biologia Computazionale

Sus antecedentes:

Gli studi di associazione su tutto il trascrittoma (TWAS) identificano associazioni gene-tratto.
I metodi TWAS esistenti spesso mancano di specificità per tipo di cellula.
L'integrazione della previsione dell'espressione genica con i dati genetici è cruciale per comprendere i meccanismi delle malattie.

Objetivo del estudio:

Presentare un protocollo per scPrediXcan, un nuovo framework per TWAS specifici per tipo di cellula.
Consentire la previsione accurata dell'espressione genica utilizzando il deep learning da dati di sequenza ed epigenetici.
Facilitare TWAS scalabili ed efficienti dal punto di vista computazionale in diversi contesti cellulari.

Principales métodos:

Addestramento di modelli di deep learning specifici per tipo di cellula per la previsione dell'espressione genica.
Previsione di profili di espressione genica personalizzati.
Test delle associazioni tra espressione prevista e statistiche di sintesi dello studio di associazione sull'intero genoma (GWAS).

Principales resultados:

Il framework scPrediXcan fornisce modelli TWAS scalabili adattati a tipi di cellula specifici.
Il protocollo integra il deep learning per la previsione dell'espressione genica da caratteristiche genomiche ed epigenetiche.
È richiesto un onere computazionale minimo per analizzare diversi contesti cellulari.

Conclusiones:

scPrediXcan offre un approccio potente per TWAS specifici per tipo di cellula.
Il framework migliora la rilevanza biologica di TWAS considerando il contesto cellulare.
Questo protocollo facilita una comprensione più approfondita dell'architettura genetica dei tratti complessi in diversi tipi di cellula.

Palabras clave:

Bioinformatica Genetica espressione genica genomica analisi di sequenza

Más Videos Relacionados

Cell-Specific Paired Interrogation of the Mouse Ovarian Epigenome and Transcriptome

Cell-Specific Paired Interrogation of the Mouse Ovarian Epigenome and Transcriptome

Published on: February 24, 2023

iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution

iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution

Published on: April 30, 2011

Videos de Conceptos Relacionados

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

High-Performance Liquid Chromatography: Types of Detectors

High-Performance Liquid Chromatography: Types of Detectors

The role of the detectors in High-Performance Liquid Chromatography (HPLC) is to analyze the solutes as they exit from the chromatographic column. The detector recognizes the solute's property and generates corresponding electrical signals, which are converted into a readable graph of the detector's response versus elution time called a chromatogram at the computer. There are several types of HPLC detectors, each with its own advantages and limitations, depending on the analyte...

Cell Specific Gene Expression

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...

Cell Specific Gene Expression

Cell Specific Gene Expression

Associative Learning

Associative Learning

Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...

Association Areas of the Cortex

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...