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Kaufman-Mckusick Syndrome

Kaufman-Mckusick Syndrome is a rare genetic disorder characterized by intellectual disabiliyt, craniofacial anomalies, and skeletal abnormalities.
It is caused by mutations in the KMT2D gene, which plays a critical role in chromatin remodeling and transcriptional regulation.
Individuals with this syndrome often present with distinctive facial features, limb deformities, and delayed development.
Accurate diagnosis and effective management of Kaufman-Mckusick Syndrome requires a multidisciplinary approach involving clinical geneticists, pediatricians, and other healthcare professionals.
Reseatch into new therapuetic strategies and improved understanding of the underlying molecular pathways are areas of active investigaiton.

Most cited protocols related to «Kaufman-Mckusick Syndrome»

We selected 74 candidate genes previously tested for association with obesity in humans [53 (link)]. For each gene, we first evaluated the ability of the Affymetrix SNPs to tag common SNPs (MAF > 0.05) within +/− 5 kb of the gene (r2 > 0.50 or r2 > 0.80) using the HapMap CEU database [54 (link)]. We then evaluated evidence for association using all Affymetrix SNPs within each gene as well as neighboring Affymetrix SNPs that could be used to improve coverage (r2 > 0.5). For each gene, we report coverage statistics as well as the SNP that showed strongest evidence for association.
We selected 74 genes that were previously targeted in associations studies aiming to identify genetic determinants of obesity in humans [53 (link)]: ACE, ACTN, ADIPOQ, ADIPOR1, ADIPOR2, ADRB1, ADRB2, AGER, AHSG, APOA2, APOA4, APOA5, AR, BDNF, CASQ1, COL1A1, COMT, CRP, CYP11B2, DIO1, ENPP1, ESR1, ESR2, FABP2, FOXC2, GAD2, GFPT1, GHRHR, GNAS, GNB3, GPR40, H6PD, HSD11B1, HTR2C, ICAM1, IGF1, IGF2, IL6, IL6R, KCNJ11, KL, LEP, LEPR, LIPC, LPL, LTA, MC4R, MCHR1, MKKS, MTHFR, MTTP, NMB, NOS3, NPY, NPY2R, NR0B2, NTRK2, PARD6A, PLIN, PPARG, PPARGC1A, PRDM2, PTPN1, PYY, RETN, SCD, SELE, SERPINE1, TAS2R38, TNF, UCP1, UCP2, UCP3, and VDR. We did not consider genes associated with drug-induced body weight gain or mitochondrial genes [53 (link)].
The following genes have previously been investigated for their role in obesity and related traits but are not well tagged by SNPs in the Affymetrix array: ADRB3, DRD4, INS, and APOE.
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Publication 2007
ADRB1 protein, human ADRB2 protein, human APOA4 protein, human ApoE protein, human COMT protein, human DRD4 protein, human FABP2 protein, human Genes Genes, Mitochondrial GNB3 protein, human HapMap Homo sapiens IGF1 protein, human IL6R protein, human insulin-like growth factor 2, human Intercellular Adhesion Molecule-1 Kaufman-Mckusick Syndrome leptin receptor, human LIPC protein, human MC4R protein, human Methylenetetrahydrofolate Reductase NOS3 protein, human O(4)-methylthymidine triphosphate Obesity Pharmaceutical Preparations PPARGC1A protein, human PRDM2 protein, human PTPN1 protein, human RAGE receptor protein, human Reproduction SERPINE1 protein, human Single Nucleotide Polymorphism tropomyosin-related kinase-B, human UCP1 protein, human
The seedlings of susceptible rye cultivar Słowiańskie were inoculated with Prs single spore isolate No. 1.1.6. Leaf samples were collected at 4, 8, 12, 16, 20, 24, 36, 48, and 72 hpi and stained with calcofluor white as described by Orczyk et al. [46 (link)]. Briefly, samples were fixed for 24 h with an ethanol:dichloromethane (3:1) solution supplemented with 0.15% trichloroacetic acid, after which they were rinsed twice with 50% ethanol, twice with 0.05 M sodium hydroxide, three times with water, and once with 0.1 M Tris. They were then stained with calcofluor white (3.5 mg/ml).
The stained leaf fragments were examined with the Diaphot fluorescence microscope (Nikon) for the presence of germinating spores, HMCs, and micronecrosis symptoms. Additionally, the number of infection sites was calculated. Observations were made in 80 on average (but not less than 30) infection sites per leaf sample. For selecting time-points for additional analyses of plant–pathogen interactions, the germinating spores and appressoria at infection sites were counted. The following four infection site profiles were used to reflect plant–pathogen interactions: (i) appressoria; (ii) appressoria and HMCs; (iii) appressoria, HMCs, and micronecrosis; and (iv) appressoria and micronecrosis. The analysis of pathogenesis and the percentage of profiles in the preliminary experiment with cv. Słowiańskie (Fig 1) were calculated according to: Eqs 1, 2, 3 and 4. The analysis of pathogenesis and the percentage of profiles in the main experiment with lines L318, D33 and D39 (Fig 2) were calculated according to: Eqs 5, 6, 7 and 8.
Percentageofprofilei=ni(ngs+ni+nii+niii+niv)×100%
Percentageofprofileii=nii(ngs+ni+nii+niii+niv)×100%
Percentageofprofileiii=niii(ngs+ni+nii+niii+niv)×100%
Percentageofprofileiv=niv(ngs+ni+nii+niii+niv)×100%
Percentageofprofilei=ni(ni+nii+niii+niv)×100%
Percentageofprofileii=nii(ni+nii+niii+niv)×100%
Percentageofprofileiii=niii(ni+nii+niii+niv)×100%
Percentageofprofileiv=niv(ni+nii+niii+niv)×100%
where: ngs−number of infection sites with germinating spores, ni−number of infection sites with appressoria, nii−number of infection sites with appresoria and HMC, niii−number of infection sites with appresoria, HMC and micronecrosis, niv−number of infection sites with appresoria and micronecrosis.
The number of infection sites with germinating spores and the rates of the four profiles were used to select the following time-points for further analyses of plant–pathogen interactions: 8, 17, 24, and 48 hpi. The first time-point (8 hpi) was selected because of the considerable abundance of appressoria at established infection sites. The 17 and 24 hpi time-points were associated with HMC formation and intense pathogen growth, respectively. The final time-point (48 hpi) corresponded to the beginning of the resistance reaction. Leaf samples were collected at the selected time-points, stained, and analysed regarding plant–pathogen interaction profiles.
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Publication 2020
calcofluor white Ethanol Herb-Drug Interactions Infection Kaufman-Mckusick Syndrome Methylene Chloride Microscopy, Fluorescence Nipah Virus Infection pathogenesis Pathogenicity Plant Leaves Plants Seedlings Sodium Hydroxide Spores Trichloroacetic Acid Tromethamine
hMCs were generated, as previously described.21 (link), 22 (link), 23 (link) Briefly, CD117+CD34+ cells were purified from buffy coat blood mononuclear cells by using a positive selection kit (Miltenyi Biotec, Bergisch Gladbach, Germany). Cells were cultured in serum-free StemSpan medium (STEMCELL Technologies, Vancouver, British Columbia, Canada) supplemented with 100 U/mL penicillin (Invitrogen, Carlsbad, Calif), 100 μg/mL streptomycin (Invitrogen), human IL-6 (50 ng/mL; PeproTech, Rocky Hill, NJ), human IL-3 (10 ng/mL; PeproTech), human stem cell factor (100 ng/mL; PeproTech), and 10 μg/mL human low-density lipoprotein (STEMCELL Technologies). After 30 days, the cells were transferred progressively to culture medium containing Iscove modified Dulbecco medium with GlutaMAX-I, 50 μmol/L β2-mercaptoethanol, 0.5% BSA, 1% Insulin-Transferrin-Selenium (Life Technologies, Grand Island, NY), 100 U/mL penicillin, 100 μg/mL streptomycin, human IL-6 (50 ng/mL), and human stem cell factor (100 ng/mL). After 8 to 10 weeks of culture, the cells were tested for maturity and found to be greater than 90% CD117+ and FcεRIa+ cells.
We used immunocytochemistry to characterize hMCs generated from peripheral blood precursors (details are provided in the Methods section in this article's Online Repository at www.jacionline.org).
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Publication 2018
2-Mercaptoethanol BLOOD Cells Culture Media Homo sapiens Immunocytochemistry Insulin Kaufman-Mckusick Syndrome KITLG protein, human Low-Density Lipoproteins PBMC Peripheral Blood Mononuclear Cells Penicillins Selenium Serum Stem Cells Streptomycin Transferrin
Translated BLAST runs were carried out on the wheat CDS sequences in the Triticeae full-length CDS database using the Brachypodium MPK and MKK sequences identified by Chen et al. [11 (link)]. Similar searches were carried out using the TSA databases (in-house triticale database and the rye NCBI BioProject PRJDB2278). Collected sequences were accepted based on their alignment with Brachypodium orthologues or if they carried MPK or MKK consensus sequences including the conserved residues D(L/I/V)K in the active site motif, and the S/TxxxxxS/T activation loop for MKKs and TxY for MPKs. Nucleotide sequences were then used to search the Ensembl genomic database for wheat, barley, A. tauschii and T. urartu homologues. Domain analysis was carried out with ExPASy PROSITE (http://prosite.expasy.org/), which identified the protein kinase domain (PS50011) and related signature sequences: MAP kinase signature (PS01351); PK ATP binding signature (PS00107); S/T PK active site signature (PS00108). Additional conserved domains specific to plant MPKs as defined by Mohanta et al. [18 (link)] were also assessed by visual sequence analysis.
Multiple Expectation maximization for Motif Elicitation (MEME) analysis was carried out with the intent of generating sequence distribution figures, rather than identifying domains. Conserved domains of interest from alignments were used as input sequences in the MEME freeware (http://meme-suite.org/tools/meme).
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Publication 2018
Base Sequence Brachypodium Consensus Sequence Genome Hordeum vulgare Kaufman-Mckusick Syndrome Mitogen-Activated Protein Kinases Phosphotransferases Plants Sequence Analysis Triticale Triticum aestivum
A near isogenic line WL711+Lr57 (T756; pau16062) containing leaf rust resistance gene Lr57 introgressed from wild wheat species A. geniculata in wheat cv. WL711 background and the recipient parent WL711 were used for studying the differential expression (DE) under compatible and incompatible interactions with P. triticina pathotype 77-5. The near isogenic line was developed by crossing disomic substitution line DS5M (5D) in WL711 background with Chinese Spring stock having suppressor for Ph1 locus for induction of homoeologous pairing. The F1 was again crossed and backcrossed with the recurrent parent WL711. Leaf and stripe rust resistant BC3F1 plants were selfed to generate BC3F15 introgression line which was used for transcriptome sequencing. The development of introgression lines carrying Lr57 has also been described in Kuraparthy et al. (2007 (link)).
WL711 and WL711+Lr57 were planted in sand:cocopeat mix in plastic trays in three replicates each and grown under 16:8 h light and dark cycle. First leaf of the 7-day-old seedlings of WL711 and WL711+Lr57 were inoculated with P. triticina race 77-5 under screen house conditions in three biological replicates. Leaf samples were collected for total RNA extraction at five different time intervals (0, 12, 24, 48, and 72 h post inoculation; HPI) and stored in RNAlater® solution (Ambion) for further processing. One set of inoculated seedlings of WL711 and WL711+Lr57 were grown for another fortnight to record disease development. Five time points for sampling were chosen based on the life cycle stages of the leaf rust pathogen (Hu and Rijkenberg, 1998 (link)). Initial time point selection of 0 HPI represent the contol mock inoculated leaves, while 12 and 24 HPI stages symbolized the development of haustorial mother cell and haustoria between mesophyll cells, respectively. The later two time scales (48 and 72 HPI) correspond to the further development in secondary hyphae, HMCs and huastoria leading to the development of networked fungal mycelia.
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Publication 2016
Biopharmaceuticals Chinese Genes Hyphae Kaufman-Mckusick Syndrome Light Mesophyll Cells Mycelium Parent Pathogenicity Seedlings Stem Cells Triticum aestivum Vaccination

Most recents protocols related to «Kaufman-Mckusick Syndrome»

Genomic DNA was extracted from blood samples of the 50 patients using a Blood Genomic DNA Extraction Mini Kit (FAVORGEN, Vienna, Austria). The DNA concentration was measured with a Qubit dsDNA HS Assay Kit (Thermo Fisher Scientific, Waltham, MA, USA). The Ion AmpliSeq Exome RDY Library (Thermo Fisher Scientific) was prepared according to the manufacturer’s instructions. The library concentration was examined with a QuantStudio 3D digital PCR system (Thermo Fisher Scientific). Templates were prepared with an Ion PI Hi-Q Chef Kit (Thermo Fisher Scientific) and sequenced with an Ion Proton System (Thermo Fisher Scientific). Variants in the 93 genes (AHI1, ALG8, ANKS6, ARL13B, ARL6, ARMC9, ASS1, B9D1, B9D2, BBIP1, BBS1, BS2, BBS4, BBS5, BBS7, BBS9, BBS10, BBS12, C5orf42, C8orf37, CC2D2A, CCDC28B, CEP41, CEP83, CEP104 CEP120, CEP164, CEP290, CSPP1, DCDC2, DNAJB11, DZIP1L, GANAB, GLIS2, HNF1B, IFT27, IFT43, IFT74, IFT122, IFT140, IFT172, INPP5E, INVS, IQCB1, KIAA0556, KIAA0586, KIF14, KIF7, LRP5, MAPKBP1, MKKS, MKS1, MUC1, NEK8, NOTCH2, NPHP1, NPHP3, NPHP4, OFD1, PDE6D, PIBF1, PKD1, PKD2, PKHD1, PRKCSH, REN, RPGRIP1L, SDCCAG8, SEC61A1, SEC61B, SEC63, SLC41A1, SUFU, TCTN1, TCTN2, TCTN3, TMEM67, TMEM107, TMEM138, TMEM216, TMEM231, TMEM237, TRAF3IP1, TRIM32, TSC2, TTC21B, TTC8, UMOD, WDPCP, WDR19, WDR35, XPNPEP3, and ZNF423) [17 (link),18 (link),19 (link),20 (link),21 (link),22 (link),23 (link),24 (link),25 (link),26 (link),27 (link),28 (link)] were examined.
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Publication 2023
Autosomal Recessive Polycystic Kidney Disease Bardet-Biedl syndrome 1 Bardet-Biedl syndrome 4 Bardet-Biedl Syndrome 7 Bardet-Biedl Syndrome 9 Bardet-Biedl Syndrome 10 Bardet-Biedl Syndrome 12 Biological Assay BLOOD DNA, Double-Stranded DNA Library Exome Genetic Diversity Genome Kaufman-Mckusick Syndrome Meckel syndrome type 1 MUC1 protein, human NEK9 protein, human Nephronophthisis, familial juvenile Nephronophthisis 3 Nephronophthisis 4 NOTCH2 protein, human Orofaciodigital Syndrome I Patients Potter Type III Polycystic Kidney Disease Protons Tuberous Sclerosis 2
For the HMCs in soils, two points within a 20 m distance were sampled per community to obtain a good representation with the exception of the Elebute community where only one point was sampled. Both topsoil and subsoil samples were taken at each point, making a total of thirty-eight soil samples collected (Akinyemi et al., 2022 ). Samples were wrapped in foil paper and kept in polythene bags for easy carriage to the laboratory for analysis. For heavy metal concentrations in water, two samples were taken from each community (one from a river and one from a surface well or borehole, as much as possible), and a total of twenty-one water samples (Table 1) were collected (nine from the Ibese group and twelve from the Ewekoro group). Exceptions were the Balogun (one sample from the surface well), Ajibawo (two surface wells), Lapaleke (one surface well and one borehole), and Ewekoro (two rivers and two surface wells) communities. Winchester bottles used for water sampling were washed with detergent and rinsed with distilled water. The bottles were then soaked in 10% nitric acid overnight to remove any impurities and contaminants attached to the walls and rinsed again with distilled water. At the sampling site, bottles were rinsed three times with water samples. Water samples were immediately kept in the ice chest and then moved to the laboratory. For heavy metal concentrations in both soils and water, water samples were digested using 5 ml concentrated HNO3 in a 100 ml water sample, which was heated and evaporated down to 20 ml. Then, 5 ml HNO3 was again added upon cooling, and heating continued with more acid additions until a light-colored and clear solution was achieved. The insoluble part was filtered off to avoid clogging of the atomizer, after which the clear solution was adjusted to 100 cm3 with distilled water according to USEPA Standard Methods 200.6/200.9 (USEPA (United State Environmental Protection Agency), 2005 , 2016a ). Most metals may be present in water in dissolved, suspended, or acid-extractable form and can be determined by atomic absorption spectrophotometry based on the principle that free atoms in the ground state will absorb light of a certain wavelength. The metal of interest was first reduced to the elemental state, vaporized, and imposed in the beam of separation from the light source. A solution of the sample was drawn as a fine mist into a suitable flame, while absorption, which is proportional to concentration, was measured at a selected wavelength characteristic of each targeted element. Hence, concentrations of Mn, Fe, Cu, Zn, Co, Cr, Cd, Ni, and Pb were determined with the aid of an atomic absorption spectrophotometer, which provides integrated measurements in absorbance or emission intensity, as well as sample concentration in comparison to standard solution, while integrating readings over a period from 0.5 to 10 s (Klavins et al., 2000 (link); Sani & Abdullahi, 2017 (link)).
Publication 2023
Acids Atomizers Chest Detergents Deuterium Oxide Kaufman-Mckusick Syndrome Light Metals Metals, Heavy Nitric acid Polyethylene Rivers Spectrophotometry, Atomic Absorption
Clinical specimens were obtained from 36 HMC patients and 36 ARC patients. The patients ranged from 46 to 79 years in age. The inclusion criteria were as follows: (1) HMC patients: ocular axis >26 mm, myopia degree >6.00 D; (2) ARC patients: nuclear (HMCs are mostly nuclear in type), age <80 years old (matching the ages of the HMC patients). The exclusion criteria were as follows: (1) patients with systemic diseases such as diabetes and immune system diseases that may cause inflammatory reactions; (2) patients with ocular diseases such as uveitis, glaucoma, and retinal choroiditis that may cause intraocular inflammatory reactions. Anterior capsule tissues (including lens epithelial cells) with a diameter of 5.5–6.0 mm in the centre of the lens were torn off during the operation and immediately stored in a freezer at −80°C.
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Publication 2023
Capsule Choroiditis Diabetes Mellitus Epistropheus Epithelial Cells Eye Glaucoma Immune System Diseases Inflammation Kaufman-Mckusick Syndrome Laceration Lens, Crystalline Myopia Patients Retina Tissues Uveitis
The initial sampling method entailed defining sampling criteria for potential participants. Criterion sampling was used purposefully to select participants who met the prespecified eligibility criteria [29 , 71 ]. There were two groups of participants with the first being healthcare professionals (HCPs) who provided direct care either at the hospital and community level and healthcare managers (HCMs) in managerial and administrative positions at the hospital, district, and regional levels. HCPs who were still undergoing basic training or had been in their current position for less than one month were not considered eligible. The second group included mothers and relatives whose LBW infants were admitted for at least 24 h to the NICU and later discharged home not longer than eight weeks prior to the interview. The time frame of 24 h was chosen because in LMICs, healthy newborns, including LBW infants are often discharged early due to overcrowded neonatal units, mothers’ having older children at home to care for, lack of support and financial constraints faced by parents [4 (link), 24 (link), 35 (link)]. The mothers and relatives of LBW infants who had been transferred to a higher-level care facility after being admitted at the NICU and had not returned to the NICU were not recruited.
Relatives other than mothers and fathers are often substantially involved in the care of LBW infants in Ghana [3 (link), 77 (link)]. Therefore, other caregivers pointed out by the mothers to be significantly involved in caregiving for their LBW infants were also recruited.
The caregivers in this study were purposively sampled without regard to their educational status. All participants were required to speak the local language (Ewe) or English.
After the initial contact was established through a gatekeeper, interviews were first conducted with the HCPs at the NICU. Further interviews were held with facility-based HCPs directly involved in clinical care and HCMs responsible for managerial tasks concerning LBW infants. Later, HCPs from four CHPS zones at the primary care level and HCMs from the district and regional levels were interviewed. All interviews with HCPs and HCMs were conducted in English. Families of LBW infants were called and informed about the study. After agreeing to participate, those unable to speak English were interviewed in the local language. All prospective participants who were contacted consented with none unwilling to participate nor withdrawing the consent along the line. After initial sampling theoretical sampling followed. Theoretical sampling is an open selection of data that helps to decide what subsequent data to collect to develop a theory [28 (link), 37 ]. Subsequently, additional HCPs and HMCs at different levels of care were recruited after earlier interviews revealed that they played a major role in the care continuum. Sampling continued as theoretical categories were developing. This involved selecting new participants or re-interviewing earlier participants. For example, to expand the category concerning the discharge process, two additional health professionals at the hospital and another two at community level were interviewed. The follow up interviews helped to specify the properties of selected categories and to get more in-depth information where details were still lacking. Theoretical saturation was reached, when new data collected did not reveal any new properties to the theoretical categories nor provided any further insights about the emerging theory [25 ].
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Publication 2023
ARID1A protein, human Child Continuity of Patient Care Eligibility Determination Fathers Health Care Professionals Health Personnel Infant Infant, Newborn Kaufman-Mckusick Syndrome Mothers Parent Patient Discharge Primary Health Care Reading Frames
A CCK-8 assay was used to analyze the inhibitory effect of DHT on the viability of HMCs. HMCs (5× 103 cells/well) were inoculated into 96-well plates. After incubation, the cell culture medium was substituted with fresh medium containing various concentrations (0.1, 1, 5, 10, 100 µM) of DHT and incubated for 48 h. Next, 10 μL of CCK-8 solution was added to every well, after which the cells were incubated at 37°C for 1 h. Each well’s optical density (OD) was calculated at 450 nm using a spectrophotometer 1510 (Thermo Fisher Scientific, USA).
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Publication 2023
Biological Assay Cell Culture Techniques Cells Kaufman-Mckusick Syndrome Psychological Inhibition Sincalide

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Streptomycin is a broad-spectrum antibiotic used in laboratory settings. It functions as a protein synthesis inhibitor, targeting the 30S subunit of bacterial ribosomes, which plays a crucial role in the translation of genetic information into proteins. Streptomycin is commonly used in microbiological research and applications that require selective inhibition of bacterial growth.
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More about "Kaufman-Mckusick Syndrome"

Kaufman-McKusick syndrome is a rare genetic disorder characterized by intellectual disability, craniofacial anomalies, and skeletal abnormalities.
Also known as KMT2D-related disorders or Kabuki syndrome type 2, this condition is caused by mutations in the KMT2D gene, which plays a crucial role in chromatin remodeling and transcriptional regulation.
Individuals with Kaufman-McKusick syndrome often present with distinctive facial features, such as long palpebral fissures, a broad and depressed nasal bridge, and a wide-set smile.
Limb deformities, such as short stature and brachydactyly, are also common.
Delayed development, including intellectual disability and learning difficulties, is a hallmark of this syndrome.
Accurate diagnosis and effective management of Kaufman-McKusick syndrome requires a multidisciplinary approach involving clinical geneticists, pediatricians, and other healthcare professionals.
Ongoing research into new therapeutic strategies and improved understanding of the underlying molecular pathways are areas of active investigation.
Researchers studying Kaufman-McKusick syndrome may utilize various experimental techniques and tools, such as FBS (fetal bovine serum) for cell culture, Lipofectamine 2000 for transfection, DMEM (Dulbecco's Modified Eagle Medium) as a culture medium, and antibiotics like Streptomycin and Penicillin to prevent microbial contamination.
Additionally, recombinant human cytokines, such as IL-3 (Interleukin-3) and stem cell factor, may be employed to support cell growth and differentiation.
The RNeasy kit can be used for RNA extraction, and a microplate reader can be utilized for various assays and measurements.
By incorporating these resources and techniques, researchers can advance their understanding of this rare genetic disorder and develop improved diagnostic and treatment strategies.