Lncrna Expression
Lncrna Expression - Related Videos
02:39
lncRNA - Long Non-coding RNAs
0 Views •
2020
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 (lncRNA)...
02:39
lncRNA - Long Non-coding RNAs
0 Views •
2023
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 (lncRNA)...
06:13
Colony Formation Assay Detecting the Proliferative Capacity of LncRNA-knockdown Osteosarcoma Cells
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2026
This experimental protocol provides a stable, cost-effective, and efficient method that combines lncRNA knockdown with colony-forming assays to quantify the effect of lncRNA on osteosarcoma cell proliferation.
10:34
Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
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Cited by 2 •
2010
This procedure describes a quick and easy workflow to introduce siRNA into difficult to transfect cell lines and follow gene expression by real-time PCR. Use of an automated cell counter, multi-well electroporation plate, and automated electrophoresis station provide quick and reliable results without the need for expensive robotic handling.
08:29
Expression Profiling with Microarrays
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2023
Microarrays are important tools for profiling gene expression, and are based on complementary binding between probes that are attached to glass chips and nucleic acids derived from samples. Using these arrays, scientists can simultaneously evaluate the expression of thousands of genes. In addition, the expression profiles of different cells or tissue types can be compared, allowing researchers to deduce how the expression of different genes change during biological processes, and thus gain...
FAQs
Promoter activity controls when and where a lncRNA transcript begins, while RNA processing helps determine the form of the resulting molecule. Stability further affects how long the transcript persists, and localization influences which cellular targets it can reach. Together, these steps create expression patterns that may differ among tissues, developmental stages, or disease states.
A lncRNA’s location helps determine whether it can act near DNA, within the RNA regulatory environment, or through interactions with regulatory proteins. These associations can influence chromatin organization, transcription, or post-transcriptional regulation. Examining both expression level and cellular context therefore provides more insight than measuring transcript abundance alone.
Differences in promoter activity, transcript processing, stability, and localization can all change the amount or functional availability of a lncRNA. Biological comparisons across tissues, developmental stages, and disease states can reveal these differences. Such patterns may indicate altered gene-regulatory networks rather than simple changes in the activity of one isolated gene.
Expression profiling compares lncRNA abundance among selected biological conditions, such as different tissues, developmental stages, or disease states. The resulting patterns can identify transcripts associated with particular contexts and highlight regulatory networks that change between samples. This approach is especially useful for generating candidates for later mechanistic or functional investigation.
Profiling can show that a lncRNA is associated with a tissue, developmental stage, or disease condition, but functional studies investigate whether it contributes to the observed regulatory process. Linking expression patterns with effects on chromatin organization, transcription, or post-transcriptional regulation helps distinguish informative associations from mechanisms that may influence gene activity.
In genetics, these studies can reveal regulatory networks involved in development, cancer, and other complex biological traits. Expression patterns may also support the identification of disease-associated biomarkers, while functional analysis can clarify how noncoding transcripts influence gene regulation. The combined evidence connects genomic regions and transcript behavior with broader biological outcomes.