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Transcriptomics

Revolutionize your transcriptomics research with our Analysis Service. Effortlessly submit your data, and our experts will decode it using cutting-edge algorithms. From gene expression profiling to pathway analysis, gain actionable insights to drive your investigations forward. Simplify your transcriptomics research with our streamlined service.

Introduction to Transcriptomics
Transcriptomics is the study of Ribonucleic acids (RNA), providing crucial insight into the functional genome. By investigating mRNA, microRNAs, and other small RNAs, we gain a foundation for understanding biological mechanisms and states. Our comprehensive transcriptomics workflows cover everything from sample preparation to data analysis, ensuring ready-to-use material for internal documentation, publications, or presentations.

1.Whole Transcriptome Sequencing (WTS):
What it is: WTS allows characterization of all types of RNA transcripts (coding and non-coding RNAs) of a particular organism, irrespective of whether or not they are polyadenylated.
Applications:
Profiling mRNA and ncRNA in a single run.
Exploring miRNA sponge and target regulatory elements.
Investigating regulatory networks among lncRNA/circRNA-miRNA-gene pairs.

2.Small RNA Profiling:
What it is: Small RNA profiling investigates the regulatory network of small non-coding RNAs (<200 nt length), including miRNA transcripts.
Benefits:
Realistic representation of diverse small non-coding RNA transcripts.
Detection of novel transcripts and differentially expressed small RNAs.
Exploration of post-transcriptional gene regulation.

3.Degradome Profiling (PARE Sequencing):
What it is: Degradome sequencing comprehensively detects microRNA (miRNA)-mediated shearing and degrading fragments, screening target genes of miRNA from experiments.
Applications:
Identifying mRNA regulated by miRNA.
Unraveling miRNA-target gene networks.

4.Exosomal RNA-Seq:
What it is: Exosomal RNA-Seq profiles circulating exosomal RNAs, providing insights into intercellular communication and disease biomarkers.
Benefits:
Low sample requirements (as little as 1 ng of total RNA).
Suitable for various biofluids (plasma, tissue culture media, CSF, synovial fluid).
Unparalleled end-to-end scientific support.

5.Single-Cell RNA-Seq (scRNA-Seq):
What it is: scRNA-Seq characterizes and distinguishes cells at the transcriptome level, revealing cellular diversity and rare but functionally significant cell populations.

Applications:
Explore novel targets and biomarkers.
Study cell heterogeneity, differentiation, and disease progression.
Discover cellular networks and novel cell populations.

Conclusion :
Metagenomics opens doors to understanding the hidden microbial world. At Biogrithm, we simplify metagenomic analysis, providing valuable insights for scientific advancements. Explore with us as we decode the language of microbes!

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