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Technology Center for Genomics & Bioinformatics

168 Orders Completed
Los Angeles, California, US

About Technology Center for Genomics & Bioinformatics

UCLA Technology Center for Genomics & Bioinformatics (UCLA TCGB)  (http://pathology.ucla.edu/tcgb), directed by Dr. Xinmin Li, has 8 Ph.D. level scientists and a total staff of 12, who together have 76 years combined genomics experience. This high throughput genomic Center equipped with all major next generation sequencing instruments, sophisticated bioinformatics tools and big data management systems including:

1.Nucleic acids isolation and QC

  • MagNa pure compact automated nucleic acid isolation system
  • Biochain AnaPrep automated nucleic acid isolation system
  • Qiagen QIAcube HT automated nucleic acid isolation system
  • Applied Biosystems 7500 Fast Real Time PCR System
  • Tape station, Agilent 2100 Bioanalyzer, NanoDrop 8000, Qubit 2.0 Fluorometer
  • Illumina NovaSeqTM 6000 Sequencing System
  • 10X genomics Single cell sequencing system GeoMx spatial transcriptome system Illumina HiSeq3000 sequencing system
  • Illumina HiSeq2500 sequencing system
  • Illumina NextSeq500
  • Illumina MiSeq sequencing system
  • Ion Personal Genome Machine
  • IntegenX Apollo 324 system (for Automated NGS library construction)
  • Beckman Biomek Fx (for Automated NGS library construction)
  • Fluidigm Access ArrayTM System
  • Affymetrix GeneChip® System 3000
  • Affymetrix GeneAtlas system
  • Agilent microarray system
  • miRNA array system
  • Falcon Automated Genomic Analysis System
  • Hoffman2 Linus clusters equipped with various genomic data analysis tools including Galaxy server
  • Lab-hosted data analysis server and data analysis tools including Partek Genomics Suite, NextGENe, Ingenuity.
  • UCLA CASS data storage server & data delivery system
  • Hoffman2 data storage server
  • Amazon S3 unlimited data storage server & AWS

With the state of the art instruments and well established data analysis and management systems, the UCLA TCGB offers a wide range of genomic services including:
1.Automated DNA/RNA isolation & quality evaluation
2.Next generation sequencing services

  • RNA-Seq
  • miRNA-Seq
  • Methy-Seq
  • ChIP-Seq
  • CLIP-Seq
  • ATAC-seq
  • Single cell sequencing
  • Whole exon sequencing
  • Targeted DNA resequencing
  • Whole genome sequencing
    3.Microarray services
  • Gene expression profiling
  • SNP genotyping & CNV analysis
  • Global methylation analysis
  • ChIP-Chip analysis
  • miRNA profiling
    4.Bioinformatics services
  • NGS/Microarray Data analysis
  • Data analysis consultation & software tutorial
  • Online data delivery & long-term data storage

These state-of-the-art NGS and microarray services are offered at a cost-effective and timely manner to serve basic science, translational and clinical researchers. The TCGB clientele include researchers generally unfamiliar with whole genome and bioinformatics approaches as well as experts seeking more sophisticated solutions. In addition to providing comprehensive genomic services, the UCLA TCGB provides “beyond service” assistance in
science and technology which includes fostering new ideas, facilitating project collaboration and integration across biomedical disciplines and developing new applications to advance the quality of the science. The UCLA TCGB also provides educational training to faculty, staff and students and strives to raise awareness of new directions and major discoveries in the areas of genomics and bioinformatics. By providing the above services, the UCLA TCGB has supported a wide range of translational investigations, including:

  • Evaluation of drug effect
  • Optimization of drug dose
  • Identification of drug targets
  • Identification of expression signature for disease classification
  • Identification of gene expression markers for disease diagnosis/prognosis
  • Identification of SNV/CMV markers for disease diagnosis/prognosis
  • Evaluation of host response to pathogen infection
  • Identification of disease-associated SNPs
  • Identification of pathogenic copy number variations
  • understanding molecular mechanisms of pathogenesis and evolution

In summary, the UCLA TCGB provides next-generation sequencing (NGS)/microarray platforms, an integrated bioinformatics pipeline and technical/intellectual expertise, which has significantly facilitated scientific findings and yielded numerous high impact publications including:

Hugo W, Shi H, Sun L, Piva M, Song C, Kong X, Moriceau G, Hong A, Dahlman KB, Johnson
DB, Sosman JA, Ribas A, Lo RS. Non‐genomic and Immune Evolution of Melanoma Acquiring
MAPKi Resistance. Cell . 2015;162:1271‐85. PMC4821508

Tong AJ, Liu X, Thomas BJ, Lissner MM, Baker MR, Senagolage MD, Allred AL, Barish GD,
Smale ST. A Stringent Systems Approach Uncovers Gene‐Specific Mechanisms Regulating
Inflammation. Cell . 2016;165:165‐79. PMC4808443

York AG, Williams KJ, Argus JP, Zhou QD, Brar G, Vergnes L, Gray EE, Zhen A, Wu NC,
Yamada DH, Cunningham CR, Tarling EJ, Wilks MQ, Casero D, Gray DH, Yu AK, Wang ES,
Brooks DG, Sun R, Kitchen SG, Wu TT, Reue K, Stetson DB, Bensinger SJ. Limiting
Cholesterol Biosynthetic Flux Spontaneously Engages Type I IFN Signaling. Cell .
2015;163:1716‐29. PMC4783382

Van Handel B, Montel‐Hagen A, Sasidharan R, Nakano H, Ferrari R, Boogerd CJ,
Schredelseker J, Wang Y, Hunter S, Org T, Zhou J, Li X, Pellegrini M, Chen JN, Orkin SH,
Kurdistani SK, Evans SM, Nakano A, Mikkola HK. Scl represses cardiomyogenesis in
prospective hemogenic endothelium and endocardium. Cell .2012;150:590‐605. PMC3624753

Bhatt DM, Pandya‐Jones A, Tong AJ, Barozzi I, Lissner MM, Natoli G, Black DL, Smale ST.
Transcript dynamics of proinflammatory genes revealed by sequence analysis of subcellular
RNA fractions. Cell . 2012;150:279‐90. PMC3405548

Hugo W, Zaretsky JM, Sun L, Song C, Moreno BH, Hu‐Lieskovan S, Berent‐Maoz B, Pang J,
Chmielowski B, Cherry G, Seja E, Lomeli S, Kong X, Kelley MC, Sosman JA, Johnson DB,
Ribas A, Lo RS. Genomic and Transcriptomic Features of Response to Anti‐PD‐1
Therapy in Metastatic Melanoma. Cell . 2016;165:35‐44. PMC4808437

Sridharan R, Gonzales‐Cope M, Chronis C, Bonora G, McKee R, Huang C, Patel S, Lopez D,
Mishra N, Pellegrini M, Carey M, Garcia BA, Plath K. Proteomic and genomic approaches
reveal critical functions of H3K9 methylation and heterochromatin protein‐1γ in reprogramming
to pluripotency. Nat Cell Biol . 2013;15:872‐82. PMC3733997

Kautz L, Jung G, Valore EV, Rivella S, Nemeth E, Ganz T. Identification of erythroferrone as
an erythroid regulator of iron metabolism. Nat Genet . 2014;46:678‐84. PMC4104984

Casero D, Sandoval S, Seet CS, Scholes J, Zhu Y, Ha VL, Luong A, arekh C, Crooks GM..
Long non‐coding RNA profiling of human lymphoid progenitor cells reveals transcriptional
divergence of B cell and T cell lineages. Nat Immunol . 2015;16:1282‐91. PMC4653072

Pharoah PD et. Al., GWAS meta‐analysis and replication identifies three new susceptibility
loci for ovarian cancer. Nat Genet. 2013 Apr;45(4):362-70, 370e1-2. doi: 10.1038/ng.2564.
Bojesen SE Multiple independent variants at the TERT locus are associated with telomere
length and risks of breast and ovarian cancer Nat Genet. 2013 Apr;45(4):371-84, 384e1-2. doi:

Schjerven H, McLaughlin J, Arenzana TL, Frietze S, Cheng D, Wadsworth SE, Lawson GW,
Bensinger SJ, Farnham PJ, Witte ON, Smale ST. Selective regulation of lymphopoiesis and
leukemogenesis by individual zinc fingers of Ikaros. Nat Immunol . 2013;14:1073‐83.

Kidani Y, Elsaesser H, Hock MB, Vergnes L, Williams KJ, Argus JP, Marbois BN,
Komisopoulou E, Wilson EB, Osborne TF, Graeber TG, Reue K, Brooks DG, Bensinger SJ.
Sterol regulatory elementbinding proteins are essential for the metabolic programming of
effector T cells and adaptive immunity. Nat Immunol . 2013;14:489‐99. PMC3652626

Kohn LA, Hao QL, Sasidharan R, Parekh C, Ge S, Zhu Y, Mikkola HK, Crooks GM. Lymphoid
priming in human bone marrow begins before expression of CD10 with upregulation of
L‐selectin. Nat Immunol . 2012;13:963‐71. PMC3448017

Yu B, Chang J, Liu Y, Li J, Kevork K, Al‐Hezaimi K, Graves DT, Park NH, Wang CY. Wnt4
signaling prevents skeletal aging and inflammation by inhibiting nuclear factor‐κB. Nat Med .
2014;20:1009‐17. PMC4159424

Snyder A, Makarov V, Merghoub T, Yuan J, Zaretsky JM, Desrichard A, Walsh LA, Postow
MA, Wong P, Ho TS, Hollmann TJ, Bruggeman C, Kannan K, Li Y, Elipenahli C, Liu C,
Harbison CT, Wang L, Ribas A, Wolchok JD, Chan TA. Genetic basis for clinical
response to CTLA‐4 blockade in melanoma. N Engl J Med. 2014;371:2189‐99. PMC4315319

Bianco P, Cao X, Frenette PS, Mao JJ, Robey PG, Simmons PJ, Wang CY. The meaning, the
sense and the significance: translating the science of mesenchymal stem cells into medicine.
Nat Med . 2013;19:35‐42. PMC3998103

Stroud H, Do T, Du J, Zhong X, Feng S, Johnson L, Patel DJ,Jacobsen SE. Non‐CG
methylation patterns shape the epigeneticlandscape in Arabidopsis. Nat Struct Mol Biol .
2014;21:64‐72. PMC4103798

Obenauf AC, Zou Y, Ji AL, Vanharanta S, Shu W, Shi H, Kong X, Bosenberg MC, Wiesner T,
Rosen N, Lo RS, Massagué J. Therapyinduced tumour secretomes promote resistance and
tumour progression. Nature . 2015;520:368‐72. PMC4507807

Johnson LM, Du J, Hale CJ, Bischof S, Feng S, Chodavarapu RK, Zhong X, Marson G,
Pellegrini M, Segal DJ, Patel DJ, Jacobsen SE. SRA‐ and SET‐domain‐containing proteins link
RNA polymerase V occupancy to DNA methylation. Nature . 2014;507:124‐8. PMC3963826

Law JA, Du J, Hale CJ, Feng S, Krajewski K, Palanca AM, Strahl BD, Patel DJ, Jacobsen SE.
Polymerase IV occupancy at RNAdirected DNA methylation sites requires SHH1. Nature .
2013;498:385‐9. PMC4119789

Janzen DM, Tiourin E, Salehi JA, Paik DY, Lu J, Pellegrini M, Memarzadeh S. Corrigendum:
An apoptosis‐enhancing drug overcomes platinum resistance in a tumour‐initiating
subpopulation of ovarian cancer. Nat Commun . 2016;7:10703. PMC4748230

Janzen DM, Tiourin E, Salehi JA, Paik DY, Lu J, Pellegrini M, Memarzadeh S. An
apoptosis‐enhancing drug overcomes platinum resistance in a tumour‐initiating subpopulation
of ovarian cancer. Nat Commun . 2015;6:7956. PMC4532886

Bahn JH, Ahn J, Lin X, Zhang Q, Lee JH, Civelek M, Xiao X. Genomic analysis of ADAR1
binding and its involvement in multiple RNA processing pathways. Nat Commun .
2015;6:6355. PMC4355961

Müller J, Krijgsman O, Tsoi J, Robert L, Hugo W, Song C, Kong X, Possik PA,
Cornelissen‐Steijger PD, Foppen MH, Kemper K, Goding CR, McDermott U, Blank C, Haanen
J, Graeber TG, Ribas A, Lo RS, Peeper DS, Geukes Foppen MH. Low MITF/AXL ratio
predicts early resistance to multiple targeted drugs in melanoma. Nat Commun . 2014;5:5712.

Marusiak AA, Edwards ZC, Hugo W, Trotter EW, Girotti MR, Stephenson NL, Kong X, Gartside
MG, Fawdar S, Hudson A, Breitwieser W, Hayward NK, Marais R, Lo RS, Brognard J. Mixed
lineage kinases activate MEK independently of RAF to mediate resistance to RAF inhibitors.
Nat Commun . 2014;5:3901. PMC4046110

Shi H, Moriceau G, Kong X, Lee MK, Lee H, Koya RC, Ng C, Chodon T, Scolyer RA, Dahlman
KB, Sosman JA, Kefford RF, Long GV, Nelson SF, Ribas A, Lo RS. Melanoma whole-exome
sequencing identifies (V600E)B-RAF amplification-mediated acquired B-RAF inhibitor
resistance. Nat Commun. 2012;3:724

Certifications & Qualifications


Our Services (10)


Single Cell RNA-Seq

Price on request

Chromium™ Single Cell 3’ Library Construction

Chromium™ Single Cell 5’ Immune Library Construction (Single Cell V(D)J + 5’ Gene Expression)

Chromium™ Single Cell ATAC Solution

Chromium Single Cell Multiome ATAC + 3’ Gene Expression

Price on request

Chromium Single Cell Controller - 10x Genomics


Spatial Transcriptomics

Price on request

Price on request

GeoMx DSP 10X Visum


10X Genomics Chromium Sequencing

Price on request

Price on request


RNA-Seq Library Preparation

Starting at $76.60 per sample

$76.6/sample for RNA library (polyA selection), $102.2/sample for RNA library (with rRNA depletion)


Whole Genome Sequencing

Starting at $1,049.78 per sample

30X coverage (400 million  2x150 clusters): $1049.78.  Turnaround time: 3-4 weeks

Human MagNa Pure Compact


Illumina NGS Library Preparation

Starting at $76.60 per sample

$76.6/sample for RNA library (polyA selection), $102.2/sample for RNA library (with rRNA depletion), $89.5/sample for DNA library, $136.4/Methy-Seq library, $216.45/whole exome seq library construction & capturing, prices for 10X single cell sequencing, spatial gene expression and other libraries, please visit UCLA TCGB website.

MagNa Pure Compact


Illumina Sequencing

Starting at $1,627.45 per lane

Novaseq 2X150 S4 sequencing: $6298.65/lane (4 -5 billion PE reads), Novase 2X50 S2: $5717.25/lane (3.3 -4.1 billion PE reads), Novaseq 2X100 S2 sequencing : $6848.4/lane (3.3 -4.1 billion PE reads), Novaseq 2X150 S2 sequencing: $7466.65/lane (3.3 -4.1 billion PE reads), Novaseq 2X50 S1 sequencing : $3306.5/lane (650 -800 million PE reads), Novaseq 2X100 S1 sequencing : $3894.2/lane (650 -800 million PE reads), Novaseq 2X150 S1 sequencing : $4430.2/lane (650 -800 million PE reads), Novaseq 2X50 SP sequencing : $2321.5/lane (325-400 million PE reads), Novaseq 2X100 SP sequencing : $2904.45/lane (325-400 million PE reads), Novaseq 2X150 SP sequencing : $3123.85/lane (325-400 million PE reads),  NextSeq500 Sequencing V2 SR 1X75: $2458.7/high output flowcell (400 million reads), Hiseq3000 Sequencing 1X50: $1627.45/lane (>600 million PE reads) Hiseq3000 Sequencing PE 1X50: $1500/lane (>300 million reads), Oxford Nanopore GridION long read sequencing: $2419.65, price on Miseq and others on request. Turnaround time: 1-3 weeks, Deliverables: - Fastq file. If data analysis is requested, file type will depend on researcher

Illumina HiSeq 2500 Illumina MiSeq Illumina NextSeq 500 sequencing system IntegenX Apollo 324 system Illumina HiSeq 4000 MagNa Pure Compact Illumina Novaseq Show 7 more tags Show less


RNA-Seq Data Analysis

Starting at $211.30 per sample

Comprehensive analysis

MagNa Pure Compact


DNA Extraction

Starting at $39.25 per sample

DNA and RNA extraction 

MagNa Pure Compact



Quantitative reverse transcription polymerase chain reaction
Starting at $86.85 per sample

qRT-PCR analysis/gene/sample: $86.85 Turnaround time: 1 weeks

Applied Biosystems 7500 Fast Real-Time PCR system MagNa Pure Compact

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Get info on this provider's capabilities without requesting a quote.

Xinmin Li


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  • Positive review for DNA Extraction and Purification:

    February 2019

    "Technology Center for Genomics & Bioinformatics have always delivered high quality genomic data when contracted for our research projects. I would strongly recommend contracting their services for your own research projects."

  • Positive review for Whole Genome Sequencing:

    July 2018

    "Great experience with this company. I will definitely send samples again."

  • Positive review for NGS Data Analysis:

    November 2017

    "As indicated previously, my experience with the Technology Center for Genomics & Bioinformatics has been excellent: good time turn over to perform RNA-seq, good communication and feedback and excellence in professionalism. I will continue to use this core."

  • Positive review for RNA Sequencing:

    August 2017

    "The people we were working with were professional and quick. The output data were of good quality, we've specially checked that twice."

  • Positive review for Microarray Data Analysis:

    June 2017

    "Very helpful and very supportive of the current and future research 1 thank you Fawzia Bardag-Gorce, PhD."

  • Positive review for RNA Sequencing:

    April 2017

    "The work provided by the Technology Centre for Genomics & Bioinformatics was excellent. Results were provided quickly, all my questions were answered in details through the Science Exchange website which I found easy and convenient to use. Downloading of the original files was also easy. I will definitely work again with this team. Coralie Poizat, Ph.D. Director, Cardiovascular Research Program King Faisal Specialist Hospital & Research Centre Riyadh11211, Saudi Arabia Associate Research Professor San Diego State University San Diego, California, USA"

  • Positive review for RNA Sequencing:

    November 2016

    "Very pleased with TCGB. Fast, easy to work with, and very responsive to questions!"

  • Positive review for RNA Sequencing:

    November 2016

    "They were really efficient in the job!!"

  • Positive review for RNA Sequencing:

    November 2016

    "Very fast and professional"

  • Positive review for RNA Sequencing:

    November 2016

    "Quickly and good service"

  • Positive review for RNA Sequencing:

    August 2016

    "The quality of sequencing is good."

  • Positive review for Illumina Sequencing:

    July 2016

    "Professional attitude. Extremely fast turnaround time. High Quality Data. Affordable price."

  • Positive review for Illumina Sequencing:

    March 2016

    "Very quick TAT and good service."

  • Positive review for RNA Sequencing:

    January 2016

    "the CMC team is very professional, high efficiency and high quality sequencing results. highly recommend."

  • Positive review for NGS Data Analysis:

    December 2015

    "Science Exchange was an unknown entity to me when I first heard of their services. Overall, their excellent, rapid, and repeated communication were the key aspects of what became an extremely valuable RNA-Seq study. Based on their rapid and effective communication as well as cost for services, we next engaged them in analysis of our data. This was also a fast and effective study. We have plans to use their services in another study in the coming months."

  • Positive review for Illumina Sequencing:

    November 2015

    "Great service and quick turnaround."

  • Positive review for RNA Sequencing:

    November 2015

    "fast turnaround, high-quality data, quick and professional responses"

  • Positive review for Affymetrix RNA Microarray:

    October 2015

    "Great job and rapid turnaround!!"

  • Positive review for Illumina Sequencing:

    October 2015

    "The quality service should be fast, cost-effective, and friendly support and communication. UCLA Clinical Microarray Core facility has them all. Thanks."

  • Positive review for Illumina Sequencing:

    September 2015

    "Very fast turn around. Good job."

  • Positive review for Whole Genome Sequencing:

    August 2015

    "UCLA's Clinical Microarray Core was fantastic! The director of the facility spent time directly on my order and I am very satisfied. All of the folks from this facility were professional and I would highly recommend this group."

  • Positive review for Next Generation Sequencing (NGS):

    December 2014

    "ABSOLUTELY. We are so pleased with our interactions with Xinmin and his staff who were responsive, friendly, helpful, and thorough. We work in a non-model organism that requires outside-the-box thinking; Xinmin was enthusiastic and attentive to our unique concerns. Our project was completed in FIVE days when other facilities quoted 4 - 6 weeks. We will certainly be working with the Clinical Microarray Core for all future RNA seq projects."

  • Positive review for Agilent RNA Microarray:

    September 2014

    "Xinmin's Lab runs very efficient and communicates friendly! Highly recommend!"

  • Positive review for RNA Sequencing:

    January 2014

    "Highly recommended! Excellent service at a reasonable price."

  • Positive review for Illumina Sequencing:

    January 2014

    "We analyzed the NGS data and are very happy with the speed of delivery and quality of the data generated by the UCLA Clinical Microarray Core. For NGS we would definitely choose UCLA again."

  • JU

    Jonas UngerbäckFebruary 2014

    My current supervisor, Mikael Sigvardsson, professor in Experimental Hematology, LInköping University, Sweden, mediated the contact since we needed help to analyze small amounts of DNA with ChIP-seq.

    The staff has been very helpful and they are also extremely skilled at what they do since library preparation and deep sequencing from DNA amounts to small to measure with standard methods. Moreover, the service has been fast provided and during all the time there has been a very good communication.

    As mentioned above I have extremelu well appreciated the experience to work with the Clinical Microarray Core and I have, as a customer felt very important and well handled. Moreover, I feel that I work with very good scientists that take their job very serious and I would therefore any day of the week recommend the Clinical Microarray Core at UCLA to anyone who are in need of such service.

    Jonas Ungerbäck, Ph.D, Linköping University, Sweden.

  • BV

    Ben Van HandelJuly 2013

    I have worked with the CMC for the past 5 years. Dr. Li and Jamie Zhou are absolutely indispensable when it comes to performing microarray or NGS experiments. Consistently, the service they provide is honest, expedient and of the highest quality. On a few occasions, the samples I submitted were of too poor quality to be used; Dr. Li and Jamie immediately contacted me to know how I wished to proceed, thus avoiding wasted time and money. On a more personal note, they and the CMC staff are just wonderful people to work with that will go to the ends of the Earth to help generate quality data. This dedication and passion are rare qualities and should be treasured; I will continue to work exclusively with Dr. Li, Jamie and the CMC as long and I have sequencing needs!

  • RF

    Ricardo FraustoJuly 2013

    I am a Senior Research Associate in the Cornea Genetics Laboratory at UCLA, directed by Dr. Anthony J. Aldave. We have used the UCLA Clinical Microarray Core (CMC) services on numerous occasions over the last two years.

    We've had RNA and DNA processed through the core and have utilized a number of their technology platforms. For gene expression we used the Affymetrix 1.1ST arrays. We've also used the Affymetrix CytoScanHD array for both copy number analysis and genotyping, the latter of which we are using for relatedness analysis between supposed unrelated individuals. Lastly, we've utilized their DNA-seq capabilities (Illumina Hi-Seq) for both whole exome and region capture sequencing. We plan on using their services for RNA-seq in the near future. All of the data that we've received has been of the highest quality. Dr. Li and his staff have also been very helpful with questions that we have had, both before pursuing a particular approach and after receiving the data.

    We've also attended two courses on data analysis and a seminar on utilizing third-party software for the analysis of our data. These have been instrumental in our ability to analyze our data in a manner that allows us to make the most biologically meaningful conclusions.

    Probably most importantly, the data received from the core are directly leading to the publication of important findings into the genetics and functional processes underpinning the development of several corneal dystrophies.

    I have been most impressed with Dr. Li's willingness to sit down with me to discuss experimental design, so that we are making the most experimentally valid and cost-effective choices. I highly recommend the UCLA Clinical Microarray Core

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