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RNA Interference

RNA Interference (RNAi) is a biological process in which RNA molecules inhibit gene expression or translation, by neutralizing targeted mRNA molecules.
This powerful technique has revolutionized the field of molecular biology, allowing researchers to selectively silence specific genes and study their functions.
PubCompare.ai, an AI-driven platform, can optimize your RNAi research by locating reliable, reproducible protocols from literature, pre-prints, and patents with ease.
Leverage AI-driven comparisons to identify the best protocols and products for your experiments, ensuring your research is streamlined and effective.
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Most cited protocols related to «RNA Interference»

Large-scale, arrayed format RNAi screens to identify genes essential for proliferation/viability were performed as described3 (link),14 (link). The effect of introducing each of the 5002 shRNAs (targeting 957 genes) was determined in 19 cell lines, and normalized using the B-score metric4 (link). Feature selection of shRNA B-score data was performed using the Comparative Marker Application Suite in GenePattern5 (link) and was independently analyzed using RIGER analysis6 (link) to compute NES for each gene. Secondary screen viability data was normalized using a percent of control statistic, given the biased nature of the candidate shRNA plate. Expression profiling was used to generate a signature that correlates with KRAS activation and implicated NF-κB signaling in cell lines and tumors dependent on KRAS. Regulation of NF-κB by TBK1 was shown using biochemical and cell biological approaches. Details of the analytical methods are provided in the Full Methods.
Publication 2009
Biopharmaceuticals Cell Lines Cells Genes K-ras Genes Neoplasms RELA protein, human RNA Interference Short Hairpin RNA TBK1 protein, human
Large-scale, arrayed format RNAi screens to identify genes essential for proliferation/viability were performed as described3 (link),14 (link). The effect of introducing each of the 5002 shRNAs (targeting 957 genes) was determined in 19 cell lines, and normalized using the B-score metric4 (link). Feature selection of shRNA B-score data was performed using the Comparative Marker Application Suite in GenePattern5 (link) and was independently analyzed using RIGER analysis6 (link) to compute NES for each gene. Secondary screen viability data was normalized using a percent of control statistic, given the biased nature of the candidate shRNA plate. Expression profiling was used to generate a signature that correlates with KRAS activation and implicated NF-κB signaling in cell lines and tumors dependent on KRAS. Regulation of NF-κB by TBK1 was shown using biochemical and cell biological approaches. Details of the analytical methods are provided in the Full Methods.
Publication 2009
Biopharmaceuticals Cell Lines Cells Genes K-ras Genes Neoplasms RELA protein, human RNA Interference Short Hairpin RNA TBK1 protein, human

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Publication 2015
Mass Spectrometry RNA Interference
DNA extracted from cancer specimens and normal tissue was labeled and hybridized to the Affymetrix 250K Sty I array to obtain signal intensities and genotype calls. Signal intensities were normalized against data from 1480 normal samples. Copy-number profiles were inferred using GLAD48 (link) and changes of > 0.1 copies in either direction were called SCNAs. The significance of focal SCNAs (covering < 0.5 chromosome arms) was determined using GISTIC18 (link), with modifications to score SCNAs directly proportional to amplitude and to allow summation of non-overlapping deletions affecting the same gene. Peak region boundaries were determined so that the change in the GISTIC score from peak to boundary had < 5% likelihood of occurring by random fluctuation. P-values for Figures 2b and 4 were determined by comparing the gene densities of SCNAs and fraction overlap of peak regions respectively to the same quantities calculated from random permutations of the locations of these SCNAs and peak regions. RNAi was performed by inducible and stable expression of shRNA lentiviral vectors and by siRNA transfection. Proliferation in inducible shRNA experiments was measured in triplicate every half-hour on 96-well plates by a real time electric sensing system (ACEA Bioscience) and in stable shRNA expression and siRNA transfection experiments by CellTiterGlo (Promega). Apoptosis was measured by immunoblot against cleaved PARP and FACS analysis of cells stained with antibody to annexin V and propidium iodide. Tumor growth in nude mice was measured by caliper twice weekly. Expression of MYC, MCL1, and BCL2L1 was performed with retroviral vectors in lung epithelial cells immortalized by introduction of SV40 and hTERT49 (link).
Full methods are described in Supplementary Methods.
Publication 2010
Annexin A5 Apoptosis Arm, Upper bcl-X Protein Cells Chromosomes Cloning Vectors Electricity Epithelial Cells Gene Deletion Genes Genotype Immunoblotting Immunoglobulins Lung Malignant Neoplasms MCL1 protein, human Mice, Nude Neoplasms Promega Propidium Iodide Retroviridae RNA, Small Interfering RNA Interference Short Hairpin RNA Simian virus 40 Tissues Transfection
DNA extracted from cancer specimens and normal tissue was labeled and hybridized to the Affymetrix 250K Sty I array to obtain signal intensities and genotype calls. Signal intensities were normalized against data from 1480 normal samples. Copy-number profiles were inferred using GLAD48 (link) and changes of > 0.1 copies in either direction were called SCNAs. The significance of focal SCNAs (covering < 0.5 chromosome arms) was determined using GISTIC18 (link), with modifications to score SCNAs directly proportional to amplitude and to allow summation of non-overlapping deletions affecting the same gene. Peak region boundaries were determined so that the change in the GISTIC score from peak to boundary had < 5% likelihood of occurring by random fluctuation. P-values for Figures 2b and 4 were determined by comparing the gene densities of SCNAs and fraction overlap of peak regions respectively to the same quantities calculated from random permutations of the locations of these SCNAs and peak regions. RNAi was performed by inducible and stable expression of shRNA lentiviral vectors and by siRNA transfection. Proliferation in inducible shRNA experiments was measured in triplicate every half-hour on 96-well plates by a real time electric sensing system (ACEA Bioscience) and in stable shRNA expression and siRNA transfection experiments by CellTiterGlo (Promega). Apoptosis was measured by immunoblot against cleaved PARP and FACS analysis of cells stained with antibody to annexin V and propidium iodide. Tumor growth in nude mice was measured by caliper twice weekly. Expression of MYC, MCL1, and BCL2L1 was performed with retroviral vectors in lung epithelial cells immortalized by introduction of SV40 and hTERT49 (link).
Full methods are described in Supplementary Methods.
Publication 2010
Annexin A5 Apoptosis Arm, Upper bcl-X Protein Cells Chromosomes Cloning Vectors Electricity Epithelial Cells Gene Deletion Genes Genotype Immunoblotting Immunoglobulins Lung Malignant Neoplasms MCL1 protein, human Mice, Nude Neoplasms Promega Propidium Iodide Retroviridae RNA, Small Interfering RNA Interference Short Hairpin RNA Simian virus 40 Tissues Transfection

Most recents protocols related to «RNA Interference»

Example 24

For groups 1-12, see study design in FIG. 32, the 21mer Atrogin-1 guide strand was designed. The sequence (5′ to 3′) of the guide/antisense strand was UCGUAGUUAAAUCUUCUGGUU (SEQ ID NO: 14237). The guide and fully complementary RNA passenger strands were assembled on solid phase using standard phospharamidite chemistry and purified over HPLC. Base, sugar and phosphate modifications that are well described in the field of RNAi were used to optimize the potency of the duplex and reduce immunogenicity. Purified single strands were duplexed to get the double stranded siRNA described in figure A. The passenger strand contained two conjugation handles, a C6-NH2 at the 5′ end and a C6-SH at the 3′ end. Both conjugation handles were connected to siRNA passenger strand via phosphodiester-inverted abasic-phosphodiester linkers. Because the free thiol was not being used for conjugation, it was end capped with N-ethylmaleimide.

For groups 13-18 see study design in FIG. 32, a 21mer negative control siRNA sequence (scramble) (published by Burke et al. (2014) Pharm. Res., 31(12):3445-60) with 19 bases of complementarity and 3′ dinucleotide overhangs was used. The sequence (5′ to 3′) of the guide/antisense strand was UAUCGACGUGUCCAGCUAGUU (SEQ ID NO: 14228). The same base, sugar and phosphate modifications that were used for the active MSTN siRNA duplex were used in the negative control siRNA. All siRNA single strands were fully assembled on solid phase using standard phospharamidite chemistry and purified over HPLC. Purified single strands were duplexed to get the double stranded siRNA. The passenger strand contained two conjugation handles, a C6-NH2 at the 5′ end and a C6-SH at the 3′ end. Both conjugation handles were connected to siRNA passenger strand via phosphodiester-inverted abasic-phosphodiester linker. Because the free thiol was not being used for conjugation, it was end capped with N-ethylmaleimide.

Antibody siRNA Conjugate Synthesis Using Bis-Maleimide (BisMal) Linker

Step 1: Antibody Reduction with TCEP

Antibody was buffer exchanged with 25 mM borate buffer (pH 8) with 1 mM DTPA and made up to 10 mg/ml concentration. To this solution, 4 equivalents of TCEP in the same borate buffer were added and incubated for 2 hours at 37° C. The resultant reaction mixture was combined with a solution of BisMal-siRNA (1.25 equivalents) in pH 6.0 10 mM acetate buffer at RT and kept at 4° C. overnight. Analysis of the reaction mixture by analytical SAX column chromatography showed antibody siRNA conjugate along with unreacted antibody and siRNA. The reaction mixture was treated with 10 EQ of N-ethylmaleimide (in DMSO at 10 mg/mL) to cap any remaining free cysteine residues.

Step 2: Purification

The crude reaction mixture was purified by AKTA Pure FPLC using anion exchange chromatography (SAX) method-1. Fractions containing DAR1 and DAR2 antibody-siRNA conjugates were isolated, concentrated and buffer exchanged with pH 7.4 PBS.

Anion Exchange Chromatography Method (SAX)-1.

Column: Tosoh Bioscience, TSKGel SuperQ-5PW, 21.5 mm ID×15 cm, 13 um

Solvent A: 20 mM TRIS buffer, pH 8.0; Solvent B: 20 mM TRIS, 1.5 M NaCl, pH 8.0; Flow Rate: 6.0 ml/min

Gradient:

a.% A% BColumn Volume
b.10001
c.81190.5
d.505013
e .40600.5
f.01000.5
g.10002

Anion Exchange Chromatography (SAX) Method-2

Column: Thermo Scientific, ProPac™ SAX-10, Bio LC™, 4×250 mm

Solvent A: 80% 10 mM TRIS pH 8, 20% ethanol; Solvent B: 80% 10 mM TRIS pH 8, 20% ethanol, 1.5 M NaCl; Flow Rate: 0.75 ml/min

Gradient:

a.Time% A% B
b.0.09010
c.3.009010
d.11.004060
e.14.004060
f.15.002080
g.16.009010
h.20.009010

Step-3: Analysis of the Purified Conjugate

The purity of the conjugate was assessed by analytical HPLC using anion exchange chromatography method-2 (Table 22).

TABLE 22
SAX retention% purity
Conjugatetime (min)(by peak area)
TfR1-Atrogin-1 DAR19.299
TfR1-Scramble DAR18.993

In Vivo Study Design

The conjugates were assessed for their ability to mediate mRNA downregulation of Atrogin-1 in muscle (gastroc) in the presence and absence of muscle atrophy, in an in vivo experiment (C57BL6 mice). Mice were dosed via intravenous (iv) injection with PBS vehicle control and the indicated ASCs and doses, see FIG. 32. Seven days post conjugate delivery, for groups 3, 6, 9, 12, and 15, muscle atrophy was induced by the daily administration via intraperitoneal injection (10 mg/kg) of dexamethasone for 3 days. For the control groups 2, 5, 8, 11, and 14 (no induction of muscle atrophy) PBS was administered by the daily intraperitoneal injection. Groups 1, 4, 7, 10, and 13 were harvested at day 7 to establish the baseline measurements of mRNA expression and muscle weighted, prior to induction of muscle atrophy. At three days post-atrophy induction (or 10 days post conjugate delivery), gastrocnemius (gastroc) muscle tissues were harvested, weighed and snap-frozen in liquid nitrogen. mRNA knockdown in target tissue was determined using a comparative qPCR assay as described in the methods section. Total RNA was extracted from the tissue, reverse transcribed and mRNA levels were quantified using TaqMan qPCR, using the appropriately designed primers and probes. PPIB (housekeeping gene) was used as an internal RNA loading control, results were calculated by the comparative Ct method, where the difference between the target gene Ct value and the PPIB Ct value (ΔCt) is calculated and then further normalized relative to the PBS control group by taking a second difference (ΔΔCt).

Quantitation of tissue siRNA concentrations was determined using a stem-loop qPCR assay as described in the methods section. The antisense strand of the siRNA was reverse transcribed using a TaqMan MicroRNA reverse transcription kit using a sequence-specific stem-loop RT primer. The cDNA from the RT step was then utilized for real-time PCR and Ct values were transformed into plasma or tissue concentrations using the linear equations derived from the standard curves.

Results

The data are summarized in FIG. 33-FIG. 35. The Atrogin-1 siRNA guide strands were able to mediate downregulation of the target gene in gastroc muscle when conjugated to an anti-TfR mAb targeting the transferrin receptor, see FIG. 33. Increasing the dose from 3 to 9 mg/kg reduced atrophy-induced Atrogin-1 mRNA levels 2-3 fold. The maximal KD achievable with this siRNA was 80% and a tissue concentration of 40 nM was needed to achieve maximal KD in atrophic muscles. This highlights the conjugate delivery approach is able to change disease induce mRNA expression levels of Atrogin-1 (see FIG. 34), by increasing the increasing the dose. FIG. 35 highlights that mRNA down regulation is mediated by RISC loading of the Atrogin-1 guide strands and is concentration dependent.

Conclusions

In this example, it was demonstrated that a TfR1-Atrogin-1 conjugates, after in vivo delivery, mediated specific down regulation of the target gene in gastroc muscle in a dose dependent manner. After induction of atrophy the conjugate was able to mediate disease induce mRNA expression levels of Atrogin-1 at the higher doses. Higher RISC loading of the Atrogin-1 guide strand correlated with increased mRNA downregulation.

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Patent 2024
Acetate Anions Antibody Formation Antigens Atrophy Biological Assay Borates Buffers Carbohydrates Chromatography Complementary RNA Complement System Proteins Cysteine Dexamethasone Dinucleoside Phosphates DNA, Complementary Down-Regulation Ethanol Ethylmaleimide Freezing Genes Genes, Housekeeping High-Performance Liquid Chromatographies Immunoglobulins Injections, Intraperitoneal maleimide MicroRNAs Mus Muscle, Gastrocnemius Muscle Tissue Muscular Atrophy Nitrogen Obstetric Delivery Oligonucleotide Primers Pentetic Acid Phosphates Plasma PPIB protein, human Prospective Payment Assessment Commission Real-Time Polymerase Chain Reaction Retention (Psychology) Reverse Transcription RNA, Messenger RNA, Small Interfering RNA-Induced Silencing Complex RNA Interference Sodium Chloride Solvents Stem, Plant STS protein, human Sulfhydryl Compounds Sulfoxide, Dimethyl TFRC protein, human Tissues Transferrin tris(2-carboxyethyl)phosphine Tromethamine

Example 4

The protein synthesis inhibitor-induced nuclear accumulation of SMN is not the result of general cell toxicity as no reduction in cell viability was monitored even after an overnight treatment of these cells with 10 μM CHX, conditions in which all of the SMN was localized to the nucleus. In addition, the nuclear accumulation is specific to the localization of SMN and not the result of general mis-localization of proteins, as the localization of many other, both nuclear and cytoplasmic proteins that were examined, including the RNA-binding proteins hnRNP A1, poly(A)-binding protein (PABP), FXR1 and snRNPs, was not significantly affected (FIG. 3c).

Furthermore, the effect was reversible as SMN staining gradually re-appeared in the cytoplasm when cells were washed and placed in fresh medium devoid of cycloheximide. A similar effect of protein synthesis inhibitors was also observed in several other cell types and in other species, including U2OS cells and both human and mouse fibroblasts, and was independent of the amount of SMN they contained. Hela cells with reduced SMN by RNAi, compared to control cells expressing a non-targeting shRNA, showed a similar effect (FIG. 9).

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Patent 2024
Cell Nucleus Cells Cell Survival Cycloheximide Cytoplasm Fibroblasts HeLa Cells Heterogeneous Nuclear Ribonucleoprotein A1 Homo sapiens Mus Poly(A)-Binding Proteins Proteins Protein Synthesis Inhibitors RNA-Binding Proteins RNA Interference Short Hairpin RNA Small Nuclear Ribonucleoproteins
Not available on PMC !

Example 20

All siRNA single strands were fully assembled on solid phase using standard phospharamidite chemistry and purified using HPLC. Base, sugar and phosphate modifications that are well described in the field of RNAi were used to optimize the potency of the duplex and reduce immunogenicity. All the siRNA passenger strands contained a C6-NH2 conjugation handle on the 5′ end, see FIG. 20A-FIG. 21B. For the 21mer duplex with 19 bases of complementarity and 3′ dinucleotide overhangs, the conjugation handle was connected to siRNA passenger strand via an inverted abasic phosphodiester, see FIG. 20A-FIG. 20B for the structures. For the blunt ended duplex with 19 bases of complementarity and one 3′ dinucleotide overhang the conjugation handle was connected to siRNA passenger strand via a phosphodiester on the terminal base, see FIG. 21A-FIG. 21B for the structures.

Purified single strands were duplexed to get the double stranded siRNA.

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Patent 2024
Anabolism Antigens Carbohydrates Complement System Proteins Dinucleoside Phosphates High-Performance Liquid Chromatographies Phosphates RNA, Small Interfering RNA Interference
RNA interference was enabled by the transfection of small interfering RNA (siRNA). ON-TARGET plus non-targeting control pool siRNA or an ON-TARGET plus SMART pool targeting ALK2, ALK3, ID3 and SMAD4 were purchased from Dharmacon Inc. A total of 2 × 105 HESCs or primary HDSCs were simultaneously seeded with full culture media 1 day before transfection. Lipofectamine RNA iMAX (Life Technologies) was used to transfect control siRNA or siRNA against ALK2, ALK3, ID3 and SMAD4 into the cells at a dose of 25 nM in accordance with the manufacturer’s instructions. The cells were then cultured for 24 h at 37 °C in a CO2 incubator untill starvation (synchronization of all the cells to the same cell cycle phase and removal of various ligands in serum). RT‒qPCR or Western blot analysis was used to assess the knockdown effectiveness of each target.
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Publication 2023
ACVR1 protein, human Cells Culture Media Human Embryonic Stem Cells Ligands Lipofectamine RNA, Small Interfering RNA Interference Serum SMAD4 protein, human Transfection Western Blot
All-in-one doxycycline-inducible lentiviral transfer plasmids (pLV-Dox mCherry-FP4/AP4-MITO) were generated by PCR and subcloning mCherry-FP4-MITO or mCherry-AP4-MITO (a gift from James Bear, University of North Carolina, Chapel Hill, NC, USA; Bear et al., 2000 (link)) in place of Cas9 in pCW-Cas9 (a gift from Eric Lander and David Sabatini (Massachusetts Institute of Technology, Cambridge, MA, USA; Wang et al., 2014 (link); RRID:Addgene_50661). Briefly, Cas9 was cut out and replaced with a multiple cloning site by annealed oligo cloning, and AgeI-BamHI was used to insert FP4/AP4 sequences. TurboRFP-expressing pLKO transfer plasmid was generated by PCR and subcloning TurboRFP in place of the puromycin resistance gene at BamHI-KpnI in pLKO.1 - TRC cloning vector (a gift from David Root, The Broad Institute, Cambridge, MA, USA; Moffat et al., 2006 (link)]; RRID:Addgene_10878). Validated Mus musculus shRNA sequences were obtained from The RNAi Consortium (The Broad Institute via MilliporeSigma; Moffat et al., 2006 (link)) and oligos were ligated between the AgeI-EcoRI sites (replacing the 1.9 kb stuffer) of our pLKO.1 TurboRFP cloning vector using annealed oligo cloning. shRNA sequences and source MilliporeSigma product number are given in Table S1. Lentiviral LifeAct expression vectors were published previously (Padilla-Rodriguez et al., 2018 (link); Parker et al., 2018 (link)): pLenti LifeAct-EGFP BlastR (RRID:Addgene_84383), pLenti-LifeAct-mRuby2 BlastR (RRID:Addgene_84384), pLenti LifeAct-iRFP670 BlastR (RRID:Addgene_84385). Lentiviral cDNA expression vectors were generated by PCR and subcloning cDNA of interest into the transfer plasmids pLenti CMVie-IRES-BlastR or pLenti CMVie-IRES-BlastR alt MCS (pCIB) published previously (Puleo et al., 2019 (link); RRID:Addgene_119863 and RRID:Addgene_120862). To reduce expression of EVL, the CMVie promoter was replaced with the Ef1a short promoter EFS in some constructs. cDNAs were tagged with mEmerald (a gift from Michael Davidson, Florida State University, Tallahassee, FL, USA; RRID:Addgene_53975), mRuby2 (a gift from Michael Davidson; Lam et al., 2012 (link); RRID:Addgene_54768), or piRFP670 (a gift from Vladislav Verkhusha, Albert Einstein College of Medicine, The Bronx, NY, USA; Shcherbakova and Verkhusha, 2013 (link); RRID:Addgene_45457) on the N-terminus of EVL or Arp3, or C-terminus of MTSS1 or MRLC. To generate lentiviral expression vectors for PSD95-FingR-EGFP and -mRuby2, pCAGGs-PSD95-FingR-EGFP was cut with SpeI-AgeI and ligated into pCIB, and mRuby2 was subcloned into SmaI-AgeI sites. For EVL iLID and MIM iLID optogenetic systems, tgRFPt-SspB(R73Q) was PCRed and subcloned from pLL7.0 mTiam1(64–437)-tgRFPt-SSPB R73Q (a gift from Brian Kuhlman, University of North Carolina, Chapel Hill, NC, USA; Guntas et al., 2015 (link); RRID:Addgene_60418) and added to the N-terminus of EVL or C-terminus of MTSS1. Lentiviral expression vectors for MIM-mRuby2, MIM-iRFP670, and MIM iLID were modified to remove the IRES-blasticidin resistance cassette to reduce plasmid size. Additional mammalian expression vectors for co-immunoprecipitation experiments were subcloned into pEF1-MCS-mychis6 B (V92120; Invitrogen) or pCMV 3xFLAG-MCS (Parker et al., 2013 (link)). Mutants of EVL and MIM were generated by PCR or inverse PCR and self-ligation cloning. All plasmids created for this paper will be made available through Addgene where possible. Complete list of plasmids generated and used in this paper can be found in Table S1.
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Publication 2023
2',5'-oligoadenylate Bears Cloning Vectors Co-Immunoprecipitation Deoxyribonuclease EcoRI DNA, Complementary Doxycycline HMN (Hereditary Motor Neuropathy) Proximal Type I Internal Ribosome Entry Sites Inverse PCR Ligation Mammals Mice, House Mitomycin Oligonucleotides Optogenetics Pharmaceutical Preparations Plant Roots Plasmids Puromycin RNA Interference Short Hairpin RNA

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More about "RNA Interference"

RNA interference (RNAi) is a powerful molecular biology technique that allows researchers to selectively silence specific genes and study their functions.
This process involves the use of RNA molecules to inhibit gene expression or translation by neutralizing targeted mRNA molecules.
RNAi has revolutionized the field, providing researchers with a powerful tool for investigating gene function and developing potential therapeutic applications.
To optimize your RNAi research, you can utilize the AI-driven platform PubCompare.ai.
This platform can help you locate reliable and reproducible RNAi protocols from literature, preprints, and patents with ease.
By leveraging AI-driven comparisons, you can identify the best protocols and products for your experiments, ensuring your research is streamlined and effective.
When conducting RNAi experiments, it's important to consider the use of transfection reagents such as Lipofectamine RNAiMAX, Lipofectamine 2000, and Lipofectamine 3000.
These reagents are designed to facilitate the delivery of small interfering RNA (siRNA) or short hairpin RNA (shRNA) into target cells.
Additionally, the use of Opti-MEM, a serum-free medium, can help to enhance transfection efficiency.
The MEGAscript RNAi kit is another valuable resource for RNAi research, as it provides a convenient way to produce high-quality siRNA or shRNA for your experiments.
Furthermore, the addition of Polybrene, a cationic polymer, can help to improve the efficiency of viral-mediated gene silencing.
When working with cell culture, the presence of fetal bovine serum (FBS) in the growth medium can also impact your RNAi experiments.
It's important to consider the use of FBS and other culture conditions to ensure the reliability and reproducibility of your results.
By leveraging the insights and tools provided by PubCompare.ai, as well as the use of appropriate transfection reagents and culture conditions, you can optimize your RNA interference research and ensure the success of your experiments.