Introduction for MHA
The development of scRNA sequencing technology makes it possible to study the heterogeneity of tissue and organ microenvironment at the molecular level and at the single-cell scale. At present, scRNA data of almost all tissues and organs of human and model animal (mice) have been published. However, in-depth mining of these data often requires bioinformatics foundation, and the tedious computing process limits researchers to quickly retrieve the required information. On the other hand, some comprehensive scRNA database are not focus on the male genitourinary system, and are prone to problems such as irregular disease classification and cell clustering. Therefore, MHA is an online visual interactive website, to provide scRNA data of various tissues and organs of the male genitourinary system under physiological and pathological conditions.
Overview for MHA
We focus on scRNA data of male genitourinary development and disease. In the present version, MHA contain 12 datasets, 3 species (Homo sapiens, Rattus norvegicus, and Mus musculus), 5 organs/tissues (Testis, Epididymis, Vas deferens, Corpus cavernosum and Prostate), and total 474,486 scRNA data of cells. At the output end, we provide UMAP and TSNE plot, violin plot, frequency bar plot and bubble plot to meet various data display requirements of users.
- Human_Testis_Development_Atlas: 10 human testicular samples include 2 yo (n=1), 5 yo (n=1), 8 yo (n=1), 11 yo (n=1), 17 yo (n=1) and adults (n=5), to show the normal development process of human testis. Data could be downloaded from GSE149512 of GEO data base.
- Mouse_Testis_Development_Atlas: 9 C57-mice testicular samples include 3 days (n=1), 6 days (n=1), 8 days (n=1), 11 days (n=1), 14 days (n=1), 17 days (n=1), 21 days (n=1), 25 days (n=1) and 5 weeks (n=1), to show the normal development process of mouse testis. Data could be downloaded from GSE211115 of GEO data base.
- Human_Germ_Cell_Lineage_Atlas: this dataset is the germ cell line subset of “Human_Testis_Development_Atlas”, from spermatogonial stem cell to spermatid, we provide simple and detailed clustering classifications. Data could be downloaded from GSE149512 of GEO data base.
- Mouse_Germ_Cell_Lineage_Atlas: this dataset is the germ cell line subset of “Mouse_Testis_Development_Atlas”, from spermatogonial stem cell to spermatid, we provide simple and detailed clustering classifications. Data could be downloaded from GSE211115 of GEO data base.
- Human_Testis_Non_Obstructive_Azoospermia_Atlas: this dataset included 5 adult testicular samples with normal spermatogenesis and 7 testicular samples of non-obstructive azoospermia (NOA). NOA can be further classified as idiopathic nonobstructive azoospermia (n=3), Klinefelter's syndrome (n=3) and YqAZFa microdeletion (n=1) according to etiology. Data could be downloaded from GSE149512 of GEO data base.
- Human_Epididymis_Atlas: this dataset contains 3 caput epididymidis samples from normal adult. Data could be downloaded from GSE148963 of GEO data base.
- Mouse_Epididymis_Vas_deferens_Atlas: this dataset contains samples of Caput (n=1), Cauda (n=1), Corpus (n=1), and Vas deferens (n=1) from adult mice, we provide simple and detailed clustering classifications. Data could be downloaded from GSE145443 of GEO data base.
- Human_Corpus_Cavernosum_Atlas: 8 samples of corpus cavernosum from normal men (n=3) and erectile dysfunction patients (ED, n=6). ED patients can be further classified as non-diabetic ED (non-DM, n=3) and diabetic ED (DMED, n=3). We provide simple and detailed clustering classifications. Data could be downloaded from GSE206528 and GSE259348 of GEO data base.
- Rat_Corpus_Cavernosum_Atlas: 6 samples of corpus cavernosum from normal rats (normal, n=2) and diabetes mellitus erectile dysfunction rats (DMED, n=4). For the DMED rat model, streptozotocin (STZ) was injected intraperitoneally at a dose of 60 mg/kg. Corpus cavernosum tissues were collected after 4 weeks of the model was successfully established. We provide simple and detailed clustering classifications. Data could be downloaded from GSE259299 of GEO data base.
- Human_Prostate_Cancer_Atlas: this dataset contains 19 human prostate samples from 3 normal prostates and 16 prostate cancers. We provide simple and detailed clustering classifications according to the original study description. Data could be downloaded from GSE120716 and GSE141445 of GEO data base.
- Human_Testis_Aging_Atlas: 12 human testicular samples include normal young (n=4), normal old (n=3) and unhealthy old (n=5, with high body mass index), to show the aging process of human testis. Data could be downloaded from GSE182786 of GEO data base.
- Mouse_Neuroendocrine_Prostate_Cancer_Atlas: this dataset contains normal mice prostate (n=2) and prostate tumors of TPPRC mice (n2 weeks=2, n1 month=2, n2.5 month=4, n3.5 month=2, n4.5 month=2, n6 month=1) in a time-series manner post tamoxifen administration. Data could be downloaded from OMIX001928 of NGDC data base.
News
Version: 1.1
Atlas updated: 2023-08-12
- Added a new dataset, the Mouse_Neuroendocrine_Prostate_Cancer_Atlas. This dataset was gotten from OMIX: OMIX001928.
- Added a DMED sample to Human_Corpus_Cavernosum_Atlas dataset so that it contains 3 biological repeats for normal, non-DMED and DMED, respectively.
Version: 1.2
Atlas updated: 2024-02-29
- Added a new dataset, the Rat_Corpus_Cavernosum_Atlas. This dataset was gotten from GEO: GSE259299.
- Added a new webpage to show the spatial transcriptome data, we provide cell spatial distribution and gene expression spatial pattern plots.
Cite
Zhao L, Zhao Y, Yao CC, Dai YB, Li Z, Tang YX.MHA, an interactive website for scRNA-seq data of male genitourinary development and disease. Andrology.
2023;1-6. https://doi.org/10.1111/andr.13402
Funding
MHA is funded by the National Natural Science Foundation of China (82201756, LiangYu Zhao; and 82071636, YuXin Tang), National Key R&D Program of China (2022YFC2702700, Zheng Li), China Postdoctoral Science Foundation (2021M703747, LiangYu Zhao), GuangDong Basic and Applied Basic Research Foundation (2021A1515111109, LiangYu Zhao).