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DNA Microarrays02:34

DNA Microarrays

20.6K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
20.6K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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3.5K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

9.7K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
9.7K
Genomics02:02

Genomics

39.6K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
39.6K
Ribosome Profiling02:24

Ribosome Profiling

4.0K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.0K
RNA-seq03:21

RNA-seq

11.7K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
11.7K

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相关实验视频

Updated: Jan 11, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
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Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

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跨平台的空间转录组学的统一集成与LLOKI.

Ellie Haber1, Ajinkya Deshpande1, Jian Ma2

  • 1Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.

Genome research
|November 13, 2025
PubMed
概括
此摘要是机器生成的。

洛基集成了多样化的空间转录组学 (ST) 数据,没有共享的基因组. 这一框架使跨技术的统一分析成为可能,推进了组织架构和细胞相互作用研究.

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科学领域:

  • 基因组学和生物信息学
  • 计算生物学 计算生物学
  • 分子生物学分子生物学

背景情况:

  • 空间转录学 (ST) 提供了对组织架构和细胞相互作用的见解.
  • 跨平台整合ST数据是具有挑战性的,因为基因组,数据稀疏性和技术变异性各不相同.

研究的目的:

  • 引入LLOKI,这是一个新的框架,用于整合来自不同平台的基于图像的ST数据.
  • 为了实现跨平台的ST分析,而不需要共享的基因面板.

主要方法:

  • 洛基采用跨技术的特征对齐和跨数据集的批量对齐.
  • 最佳的运输导向特征传播和基于图形的归算将ST数据与scRNA-seq引用相匹配.
  • 像scGPT这样的单细胞基础模型产生统一的特征,然后进行批量对齐以改进嵌入.

主要成果:

  • 洛基成功地整合了来自五种不同的小鼠大脑技术的ST数据,超过了现有的方法.
  • 该框架能够实现有效的跨技术空间基因程序识别和组织切片对齐.
  • 对卵巢癌数据集的应用确定了瘤透T细胞的综合基因程序.

结论:

  • 洛基为跨平台空间转录学研究提供了强大的解决方案.
  • 该框架有可能扩展到大型地图数据集,以获得更深入的生物学见解.
  • 洛基 (LLOKI) 便于对细胞组织和组织微环境进行全面分析.